A general extensible learning approach for multi-disease recommendations in a telehealth environment
Article
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Zhu, Xiaodong, Li, Hongzhou, Chang, Liang and Deo, Ravinesh. 2020. "A general extensible learning approach for multi-disease recommendations in a telehealth environment
." Pattern Recognition Letters. 132, pp. 106-114. https://doi.org/10.1016/j.patrec.2018.11.006
| Article Title | A general extensible learning approach for multi-disease recommendations in a telehealth environment |
|---|---|
| ERA Journal ID | 18106 |
| Article Category | Article |
| Authors | Lafta, Raid (Author), Zhang, Ji (Author), Tao, Xiaohui (Author), Zhu, Xiaodong (Author), Li, Hongzhou (Author), Chang, Liang (Author) and Deo, Ravinesh (Author) |
| Journal Title | Pattern Recognition Letters |
| Journal Citation | 132, pp. 106-114 |
| Number of Pages | 9 |
| Year | 2020 |
| Publisher | Elsevier |
| Place of Publication | Netherlands |
| ISSN | 0167-8655 |
| 1872-7344 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.patrec.2018.11.006 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S016786551830881X |
| Abstract | In a telehealth environment, intelligent technologies are rapidly evolving toward improving the quality of patients’ lives and providing better clinical decision-making especially those who suffer from chronic diseases and require continuous monitoring and chronic-related medical measurements. A short-term disease risk prediction is a challenging task but is a great importance for teleheath care systems to provide accurate and reliable recommendations to patients. In this work, a general extensible learning approach for multi-disease recommendations is proposed to provide accurate recommendations for patients with chronic diseases in a telehealth environment. This approach generates appropriate recommendations for patients suffering from chronic diseases such as heart failure and diabetes about the need to take a medical test or not on the coming day based on the analysis of their medical data. The statistical features extracted from the sub-bands obtained after a four-level decomposition of the patient's time series data are classified using a machine learning ensemble model. A combination of three classifiers – Least Squares-Support Vector Machine, Artificial Neural Network, and Naive Bayes – are utilized to construct the bagging-based ensemble model used to produce the final recommendations for patients. Two real-life datasets collected from chronic heart and diabetes disease patients are used for experimentations and evaluation. The experimental results show that the proposed approach yields a very good recommendation accuracy and offers an effective way to reduce the risk of incorrect recommendations as well as reduces the workload for chronic diseases patients who undergo body tests most days. Thus, the proposed approach is considered one of a promising tool for analyzing time series medical data of multi diseases and providing accurate and reliable recommendations to patients suffering from different types of chronic diseases. |
| Keywords | chronicle heart disease; dual-tree complex wavelet transformation; machine learning ensemble; recommender system; telehealth environment; time series prediction |
| ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
| Nanjing University of Information Science and Technology, China | |
| Guilin University of Electronic Technology, China | |
| Institution of Origin | University of Southern Queensland |
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Yang, Gaoming, Wang, Tao, Fang, Xianjin and Zhang, Ji. 2023. "RSFace: subject agnostic face swapping with expression high fidelity." The Visual Computer. 39 (11), pp. 5497-5511. https://doi.org/10.1007/s00371-022-02675-zThe Great 2011 Thailand flood disaster revisited: Could it have been mitigated by different dam operations based on better weather forecasts?
Loc, Ho Huu, Emadzadeh, Adel, Park, Edward, Nontikansak, Piyanuch and Deo, Ravinesh C.. 2023. "The Great 2011 Thailand flood disaster revisited: Could it have been mitigated by different dam operations based on better weather forecasts? " Environmental Research. 216 (Part 2). https://doi.org/10.1016/j.envres.2022.114493Comparison of machine learning methods emulating process driven crop models
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Job, Simi, Tao, Xiaohui, Li, Y., Li, Lin and Yong, Jianming. 2023. "Topic Integrated Opinion-Based Drug Recommendation With Transformers ." IEEE Transactions on Emerging Topics in Computational Intelligence. 7 (6), pp. 1676-1686. https://doi.org/10.1109/TETCI.2023.3246559A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh, Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction." Energy. 275, p. 127430. https://doi.org/10.1016/j.energy.2023.127430Near real-time wind speed forecast model with bidirectional LSTM networks
Joseph, Lionel P., Deo, Ravinesh C., Prasad, Ramendra, Salcedo-Sanz, Sancho, Raj, Nawin and Soar, Jeffrey. 2023. "Near real-time wind speed forecast model with bidirectional LSTM networks." Renewable Energy. 204, pp. 39-58. https://doi.org/10.1016/j.renene.2022.12.123Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images
Deo, Ravinesh C., Karalasingham, Sagthitharan, Casillas-Perez, David, Raj, Narwin and Salcedo-sanz, Sancho. 2023. "Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images." IEEE Access. 11, pp. 5558-5577. https://doi.org/10.1109/ACCESS.2023.3236253Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition
Diykh, Mohammed, Abdulla, Shahab, Deo, Ravinesh C, Siuly, Siuly and Ali, Mumtaz. 2023. "Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition." Computer Methods and Programs in Biomedicine. 229, pp. 1-11. https://doi.org/https://doi.org/10.1016/j.cmpb.2022.107305Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression
Deo, Ravinesh C., Ahmed, A.A. Masrur, Casillas-Perez, David, Pourmousavi, S. Ali, Segal, Gary, Yu, Yanshan and Salcedo-sanz, Sancho. 2023. "Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression." Renewable Energy. 203, pp. 113-130. https://doi.org/10.1016/j.renene.2022.12.048Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
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Wang, Ru, Li, Lin, Tao, Xiaohui, Dong, Xiao, Wang, Peipei and Liu, Peiyu. 2021. "Trio-based collaborative multi-view graph clustering with multiple constraints." Information Processing and Management. 58 (3), pp. 1-13. https://doi.org/10.1016/j.ipm.2020.102466A hierarchical classification/regression algorithm for improving extreme wind speed events prediction
Pelaez-Rodriguez, C., Perez-Aracil, J., Fister, D, Prieto-Godino, L., Deo, R.C. and Salcedo-sanz, S.. 2022. "A hierarchical classification/regression algorithm for improving extreme wind speed events prediction." Renewable Energy. 201 (Part 2), pp. 157-178. https://doi.org/10.1016/j.renene.2022.11.042Pattern recognition describing spatio-temporal drivers of catchment classification for water quality
O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C. and Pembleton, Keith G.. 2023. "Pattern recognition describing spatio-temporal drivers of catchment classification for water quality." Science of the Total Environment. 861, pp. 1-42. https://doi.org/10.1016/j.scitotenv.2022.160240The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds
Downs, Nathan, Raj, Nawin, Vanos, Jennifer, Parisi, Alfio, Butler, Harry, Deo, Ravinesh, Igoe, Damien, Dexter, Benjamin, Beckman-Downs, Melanie, Turner, Joanna and Dekeyser, Stijn. 2023. "The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds." Photochemistry and Photobiology. 99 (4), pp. 1193-1207. https://doi.org/10.1111/php.13745Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps
Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C., Salcedo-sanz, Sancho and Soar, Jeffrey. 2022. "Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps." IEEE Access. 10, pp. 119814 - 119825. https://doi.org/10.1109/ACCESS.2022.3221762Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm
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Ghimire, Sujan, Nguyen-Huy, Thong, Prasad, Ramendra, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho and Bhandari, Binayak. 2023. "Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction." Cognitive Computation. 15 (2), pp. 645-671. https://doi.org/10.1007/s12559-022-10070-yMultimodality Information Fusion for Automated Machine Translation
Li, Lin, Tayir, Turghun, Han, Yifeng, Tao, Xiaohui and Velasquez, Juan D.. 2023. "Multimodality Information Fusion for Automated Machine Translation." Information Fusion. 91, pp. 352-363. https://doi.org/10.1016/j.inffus.2022.10.018Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
Li, Lin, Wu, Xiaohua, Kong, Miao, Zhou, Dong and Tao, Xiaohui. 2022. "Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction." Raedt, Luc De (ed.) 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022): Special Track on AI for Good. Vienna, Austria 23 - 29 Jul 2022 Austria.AI enabled RPM for Mental Health Facility
Shaik, Thanveer, Tao, Xiaohui, Higgins, Niall, Xie, Haoran, Gururajan, Raj and Zhou, Xujuan. 2022. "AI enabled RPM for Mental Health Facility." 1st ACM Workshop on Mobile and Wireless Sensing for Smart Healthcare (WMSSH 2022). Sydney, Australia 21 Oct 2022 New York, United States. https://doi.org/10.1145/3556551.3561191Identifying informative tweets during a pandemic via a topic‑aware neural language model
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Nguyen-Huy, Thong, Deo, Ravinesh C., Khan, Shahjahan, Devi, Aruna, Adeyinka, Adewuyi Ayodele, Apan, Armando A. and Yaseen, Zaher Mundher. 2022. "Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models." IEEE Access. 10, pp. 45112 -45136. https://doi.org/10.1109/ACCESS.2022.3168322Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia
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Ahmadianfar, Iman, Noori, Ramzia Majeed, Togun, Hussein, Falah, Mayadah W., Homod, Raad Z., Fu, Minglei, Halder, Bijay, Deo, Ravinesh and Yaseen, Zaher Mundher. 2022. "Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization." Knowledge-Based Systems. 250, pp. 1-18. https://doi.org/10.1016/j.knosys.2022.109048Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach
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Halder, Bijay, Bandyopadhyay, Jatisankar, Afan, Haitham Abdulmohsin, Naser, Maryam H., Abed, Salwan Ali, Khedher, Khaled Mohamed, Falih, Khaldoon T., Deo, Ravinesh, Scholz, Miklas and Yaseen, Zaher Mundher. 2022. "Delineating the Crop-Land Dynamic due to Extreme Environment Using Landsat Datasets: A Case Study." Agronomy. 12 (6), pp. 1-23. https://doi.org/10.3390/agronomy12061268A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis
Shaik, Thanveer, Tao, Xiaohui, Li, Yan, Dann, Christopher, McDonald, Jacquie, Redmond, Petrea and Galligan, Linda. 2022. "A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis." IEEE Access. 10, pp. 56720-56739. https://doi.org/10.1109/ACCESS.2022.3177752Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction
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Deo, Ravinesh C., Grant, Richard H., Webb, Ann, Ghimire, Sujan, Igoe, Damien P., Downs, Nathan J., Al-Musaylh, Mohanad S., Parisi, Alfio V. and Soar, Jeffrey. 2022. "Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network." Stochastic Environmental Research and Risk Assessment. 36, p. 3183–3220. https://doi.org/10.1007/s00477-022-02188-0Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C, Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction." Renewable Energy. 190, pp. 408-424. https://doi.org/10.1016/j.renene.2022.03.120Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model
Ghimire, Sujan, Nguyen-Huy, Thong, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model." Sustainable Materials and Technologies. 32, pp. 1-24. https://doi.org/10.1016/j.susmat.2022.e00429Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
Ghimire, Sujan, Bhandari, Binayak, Casillas-Perez, David, Deo, Ravinesh C. and Salcedo-sanz, Sancho. 2022. "Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia." Engineering Applications of Artificial Intelligence. 112, pp. 1-26. https://doi.org/10.1016/j.engappai.2022.104860Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms." Applied Energy. 316, pp. 1-25. https://doi.org/10.1016/j.apenergy.2022.119063Machine learning regression and classification methods for fog events prediction
Castillo-Boton, C., Casillas-Perez, D., Casanova-Mateo, C., Ghimire, S., Cerro-Prada, E., Gutierrez, P. A., Deo, R. C. and Salcedo-sanz, S.. 2022. "Machine learning regression and classification methods for fog events prediction." Atmospheric Research. 272, pp. 1-23. https://doi.org/10.1016/j.atmosres.2022.106157FedStack: Personalized Activity Monitoring using Stacked Federated Learning
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Tao, Xiaohui, Shannon-Honson, Aaron, Delaney, Patrick, Li, Lin, Dann, Christopher, Li, Yan and Xie, Haoran. 2022. "Data Analytics on Online Student Engagement Data for Academic Performance Modeling." IEEE Access. 10, pp. 103176-103186. https://doi.org/10.1109/ACCESS.2022.3208953Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Sharma, Ekta and Ali, Mumtaz. 2022. "Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction." Measurement. 202, pp. 1-22. https://doi.org/10.1016/j.measurement.2022.111759Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin
Lu, Zhixiang, Feng, Qi, Wei, Yongping, Zhao, Yan, Deo, Ravinesh C., Xie, Jiali, Zhou, Sha, Zhu, Meng and Xu, Min. 2022. "Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin." Science of the Total Environment. 851 (Part 2), pp. 1-8. https://doi.org/10.1016/j.scitotenv.2022.158359Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model
Ahmed, Abul Abrar Masrur, Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J., Devi, Aruna, Barua, Prabal D. and Yaseen, Zaher M.. 2022. "Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model." Sustainability. 14 (17), pp. 1-27. https://doi.org/10.3390/su141711070Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors
Ahmed, A. A. Masrur, Sharma, Ekta, Jui, S. Janifer Jabin, Deo, Ravinesh C., Nguyen-Huy, Thong and Ali, Mumtaz. 2022. "Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors." Remote Sensing. 14 (5), pp. 1-24. https://doi.org/10.3390/rs14051136Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System
Prasad, Salvin S., Deo, Ravinesh C., Downs, Nathan, Igoe, Damien, Parisi, Alfio V. and Soar, Jeffrey. 2022. "Cloud Affected Solar UV Predictions with Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System." IEEE Access. 10, pp. 24704-24720. https://doi.org/10.1109/ACCESS.2022.3153475Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2022. "Development and evaluation of hybrid deep learning long short-term memory network model for pan evaporation estimation trained with satellite and ground-based data." Journal of Hydrology. 607, pp. 1-19. https://doi.org/10.1016/j.jhydrol.2022.127534Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects
Bhagat, Suraj Kumar, Tiyasha, Tiyasha, Kumar, Adarsh, Malik, Tabarak, Jawad, Ali H., Khedher, Khaled Mohamed, Deo, Ravinesh C. and Yaseen, Zaher Mundher. 2022. "Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects." Journal of Environmental Management. 309, pp. 1-16. https://doi.org/10.1016/j.jenvman.2022.114711An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis
Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2022. "An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis." Frontiers in Neuroinformatics. 15, pp. 1-15. https://doi.org/10.3389/fninf.2021.808339Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results
Ghimire, Sujan, Deo, Ravinesh C., Wang, Hua, Al-Musaylh, Mohanad S., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results." Energies. 15 (3), pp. 1-39. https://doi.org/10.3390/en15031061Deep boundary‑aware clustering by jointly optimizing unsupervised representation learning
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Diykh, Mohammed, Miften, Firas Sabar, Abdulla, Shahab, Deo, Ravinesh C., Siuly, Siuly, Green, Jonathan H. and Oudah, Atheer Y.. 2022. "Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals." Measurement. 190 (110731), pp. 1-13. https://doi.org/10.1016/j.measurement.2022.110731Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data
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Feng, Qi, Yan, Linshan, Deo, Ravinesh C., AghaKouchak, Amir, Adamowski, Jan F., Stone, Roger, Yin, Zhenliang, Liu, Wei, Si, Jianhua, Wen, Xiaohu, Zhu, Meng and Cao, Shixiong. 2019. "Domino effect of climate change over two millennia in ancient China’s Hexi Corridor." Nature Sustainability. 2, pp. 957-961. https://doi.org/10.1038/s41893-019-0397-9Bat algorithm for dam–reservoir operation
Ethteram, Mohammad, Mousavi, Sayed-Farhad, Karami, Hojat, Farzin, Saeed, Deo, Ravinesh, Othman, Faridah Binti, Chau, Kwok-Wing, Sarkamaryan, Saeed, Singh, Vijay P. and El-Shafie, Ahmed. 2018. "Bat algorithm for dam–reservoir operation." Environmental Earth Sciences. 77 (13), pp. 1-15. https://doi.org/10.1007/s12665-018-7662-5Characteristics of ecosystem water use efficiency in a desert riparian forest
Ma, Xiaohong, Feng, Qi, Su, Yonghong, Yu, Tengfei and Deo, Ravinesh C.. 2018. "Characteristics of ecosystem water use efficiency in a desert riparian forest." Environmental Earth Sciences. 77 (358). https://doi.org/10.1007/s12665-018-7518-zThe influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River
Diop, Lamine, Bodian, Ansoumana, Djaman, Koffi, Yaseen, Zaher Mundher, Deo, Ravinesh C., El-Shafie, Ahmed and Brown, Larry C.. 2018. "The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River." Environmental Earth Sciences. 77 (5). https://doi.org/10.1007/s1266Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River
Raheli, Bahare, Aalami, Mohammad Taghi, El-Shafie, Ahmed, Ghorbani, Mohammad Ali and Deo, Ravinesh C.. 2017. "Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River." Environmental Earth Sciences. 76 (14). https://doi.org/10.1007/s12665-017-6842-zEmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification
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Sharma, Ekta, Deo, Ravinesh C., Soar, Jeffrey, Prasad, Ramendra, Parisi, Alfio V. and Raj, Nawin. 2022. "Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots." Atmospheric Environment. 279, pp. 1-13. https://doi.org/10.1016/j.atmosenv.2022.119111New double decomposition deep learning methods for river water level forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Feng, Qi, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "New double decomposition deep learning methods for river water level forecasting." Science of the Total Environment. 831, pp. 1-21. https://doi.org/10.1016/j.scitotenv.2022.154722Contrastive and attentive graph learning for multi-view clustering
Wang, Ru, Li, Lin, Tao, Xiaohui, Wang, Peipei and Liu, Peiyu. 2022. "Contrastive and attentive graph learning for multi-view clustering." Information Processing and Management. 59 (4), pp. 1-14. https://doi.org/10.1016/j.ipm.2022.102967Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world
Kuai, Hongzhi, Tao, Xiaohui and Zhong, Ning. 2022. "Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world." World Wide Web. 25, pp. 1223-1241. https://doi.org/10.1007/s11280-022-01030-5Sentiment Analysis of Chinese E-commerce Reviews Based on BERT
Xie, Song, Cao, Jingjing, Wu, Zhou, Liu, Kai, Tao, Xiaohui and Xie, Haoran. 2021. "Sentiment Analysis of Chinese E-commerce Reviews Based on BERT." 18th IEEE International Conference on Industrial Informatics (INDIN 2020). Warwick, United Kingdom 21 - 23 Jul 2020 Piscataway, United States. https://doi.org/10.1109/INDIN45582.2020.9442190A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting
Li, Zhaoyang, Li, Lin, Peng, Yuquan and Tao, Xiaohui. 2020. "A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting." Alamaniotis, Miltos and Pan, Shimei (ed.) 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020). Baltimore, United States 09 - 11 Nov 2020 Piscataway, United States. https://doi.org/10.1109/ICTAI50040.2020.00063Machine and cognitive intelligence for human health: systematic review
Chen, Xieling, Cheng, Gary, Wang, Fu Lee, Tao, Xiaohui, Xie, Haoran and Xu, Lingling. 2022. "Machine and cognitive intelligence for human health: systematic review." Brain Informatics. 9 (1), pp. 1-20. https://doi.org/10.1186/s40708-022-00153-9A federated learning based semi-supervised credit prediction approach enhanced by multi-layer label mean
Li, Lin, Long, Sijie, Bi, Jiaxiu, Wang, Guowei, Zhang, Jiawei and Tao, Xiaohui. 2021. "A federated learning based semi-supervised credit prediction approach enhanced by multi-layer label mean." Web Intelligence. 19 (4), pp. 329-342. https://doi.org/10.3233/WEB-210476A novel genetic algorithm based system for the scheduling of medical treatments
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan and Acharya, Udyavara Rajendra. 2022. "A novel genetic algorithm based system for the scheduling of medical treatments." Expert Systems with Applications. 195, pp. 1-12. https://doi.org/10.1016/j.eswa.2021.116464EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism
Li, Zongxi, Chen, Xinhong, Xie, Haoran, Li, Qing, Tao, Xiaohui and Cheng, Gary. 2021. "EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism." World Wide Web. 24 (6), pp. 2049-2070. https://doi.org/10.1007/s11280-021-00957-5An Empirical Study of Learning Based Happiness Prediction Approaches
Kong, Miao, Li, Lin, Wu, Renwei and Tao, Xiaohui. 2021. "An Empirical Study of Learning Based Happiness Prediction Approaches." Human-centric Computing and Information Sciences. 1 (1-2), pp. 18-24. https://doi.org/10.2991/hcis.k.210622.001Semantic Knowledge Discovery for User Profiling for Location-Based Recommender Systems
Tao, Xiaohui, Sharma, Nischal, Delaney, Patrick and Hu, Aimin. 2021. "Semantic Knowledge Discovery for User Profiling for Location-Based Recommender Systems." Human-centric Computing and Information Sciences. 1 (1-2), pp. 32-42. https://doi.org/10.2991/hcis.k.210704.001Distant Supervision for E-commerce Query Segmentation via Attention Network
Li, Zhao, Ding, Donghui, Zou, Pengcheng, Gong, Yu, Chen, Xi, Zhang, Ji, Gao, Jianliang, Wu, Youxi and Duan, Yucong. 2022. "Distant Supervision for E-commerce Query Segmentation via Attention Network." Gao, Honghao, Kim, Jung Yoon, Hussain, Walayat, Iqbal, Muddesar and Duan, Yucong (ed.) Intelligent Processing Practices and Tools for E-Commerce Data, Information, and Knowledge. Switzerland . Springer. pp. 3-19A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography
Ying, Josh Jia-Ching, Yang, Wan-Ju, Zhang, Ji, Ni, Yu-Ching, Lin, Chia-Yu, Tseng, Fan-Pin and Tao, Xiaohui. 2022. "A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography." 18th International Conference on Advanced Data Mining and Applications (ADMA 2022). Brisbane, Australia 28 - 30 Nov 2022 Switzerland. https://doi.org/10.1007/978-3-031-22064-7_21Enhanced Simple Question Answering with Contrastive Learning
Wang, Xin, Yang, Lan, He, Honglian, Fang, Yu, Zhan, Huayi and Zhang, Ji. 2022. "Enhanced Simple Question Answering with Contrastive Learning." 15th International Conference on Knowledge Science, Engineering and Management (KSEM 2022). Singapore 06 - 08 Aug 2022 Switzerland . Springer. https://doi.org/10.1007/978-3-031-10983-6_39Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements
Veena, P., Sreepada, Tarun, Kiran, R. Uday, Dao, Minh-Son, Zettsu, Koji, Watanobe, Yutaka and Zhang, Ji. 2022. "Towards Efficient Discovery of Periodic-Frequent Patterns in Dense Temporal Databases Using Complements." 33rd International Conference on Database and Expert Systems Applications (DEXA 2022). Vienna, Austria 22 - 24 Aug 2022 Switzerland . Springer. https://doi.org/10.1007/978-3-031-12426-6_16Educational Decision Support System Adopting Sentiment Analysis on Student Feedback
Shaik, Thanveer, Tao, Xiaohui, Dann, Chris, Quadrelli, Carol, Li, Yan and O’Neill, Shirley. 2022. "Educational Decision Support System Adopting Sentiment Analysis on Student Feedback." 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). Niagara Falls, Canada 17 - 20 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/WI-IAT55865.2022.00062Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks
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Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2022. "Logit Perturbation." 36th AAAI Conference on Artificial Intelligence (AAAI 2022). 22 Feb - 01 Mar 2022 United Sates. https://doi.org/10.1609/aaai.v36i2.20024Skeleton-Based Mutual Action Recognition Using Interactive Skeleton Graph and Joint Attention
Jia, Xiangze, Zhang, Ji, Wang, Zhen, Luo, Yonglong, Chen, Fulong and Yang, Gaoming. 2022. "Skeleton-Based Mutual Action Recognition Using Interactive Skeleton Graph and Joint Attention." 33rd International Conference on Database and Expert Systems Applications (DEXA 2022). Vienna, Austria 22 - 24 Aug 2022 Switzerland . Springer. https://doi.org/10.1007/978-3-031-12426-6_9JointContrast: Skeleton-Based Mutual Action Recognition with Contrastive Learning
Jia, Xiangze, Zhang, Ji, Wang, Zhen, Luo, Yonglong, Chen, Fulong and Xiao, Jing. 2022. "JointContrast: Skeleton-Based Mutual Action Recognition with Contrastive Learning." 19th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2022). Shanghai, China 10 - 13 Nov 2022 Switzerland . Springer. https://doi.org/10.1007/978-3-031-20868-3_35Automated Knowledge Graph Construction for Healthcare Domain
Jaworsky, Markian, Tao, Xiaohui, Yong, Jianming, Pan, Lei, Zhang, Ji and Pokhrel, Shiva. 2022. "Automated Knowledge Graph Construction for Healthcare Domain." 11th International Conference on Health Information Science (HIS 2022). Biarritz, France 28 - 30 Oct 2022 Switzerland . https://doi.org/10.1007/978-3-031-20627-6_24TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs
Gao, Jianliang, Li, Zhao, Xiong, Fan, Liu, Xiangyue, Xiao, Jie, Wang, Biao and Zhang, Ji. 2022. "TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs." 2021 IEEE 23rd International Conference on High Performance Computing and Communications (HPCC). Hainan, China 20 - 22 Dec 2021 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00306A Secured Movie Recommendation System using Decentralized Blockchain Network
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Wu, Youxi, Wang, Xiaohui, Li, Yan, Guo, Lei, Li, Zhao, Zhang, Ji and Wu, Xindong. 2022. "OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining." ACM Transactions on Management Information Systems. 13 (3), pp. 1-23. https://doi.org/10.1145/3476247Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes
Weng, Xi, Yan, Yan, Dong, Genshun, Shu, Chang, Wang, Biao, Wang, Hanzi and Zhang, Ji. 2022. "Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes." IEEE Transactions on Intelligent Transportation Systems. 23 (10), pp. 17224-17240. https://doi.org/10.1109/TITS.2022.3150350Message from the program chairs: CBD 2022
Tao, Xiaohui, Zhang, Shichao, Xie, Xiaolan and Dong, Fang. 2022. "Message from the program chairs: CBD 2022 ." 2022 Tenth International Conference on Advanced Cloud and Big Data (CBD). Guilin, China 04 - 05 Nov 2022 Guilin, China. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/CBD58033.2022.00006Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest
Shao, Ming-Min, Jiang, Wen-Jun, Wu, Jie, Shi, Yu-Qing, Yum, TakShing and Zhang, Ji. 2022. "Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest." Journal of Computer Science and Technology. 37 (6), pp. 1444-1463. https://doi.org/10.1007/s11390-021-2124-zSparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network
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Li, Jiamu, Zhang, Ji, Bah, Mohamed Jaward, Wang, Jian, Zhu, Youwen, Yang, Gaoming, Li, Lingling and Zhang, Kexin. 2022. "An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection." Algorithms. 15 (11). https://doi.org/10.3390/a15110429Lightweight Mutual Authentication Scheme Enabled by Stateless Blockchain for UAV Networks
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Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Pham, Thuan, Zhu, Xiaodong, Li, Hongzhou and Chang, Liang. 2018. "Detecting relational states in online social networks." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 United States. https://doi.org/10.1109/BESC.2018.8697237On link stability detection for online social networks
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Lin, Jerry Chun-Wei, Li, Hongzhou and Chang, Liang. 2018. "On link stability detection for online social networks." Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Gunther and Wagner, Roland R. (ed.) 29th International Conference on Database and Expert Systems Applications (DEXA 2018). Regensburg, Germany 03 - 06 Sep 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-319-98809-2_20Learning relational fractals for deep knowledge graph embedding in online social networks
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Wang, Dianwei, Ying, Josh Jia-Ching and Wang, Xin. 2019. "Learning relational fractals for deep knowledge graph embedding in online social networks." Cheng, Reynold, mamoulis, Nikos, Sun, Yizhou and Huang, Xin (ed.) 20th International Conference on Web Information Systems Engineering (WISE 2019): Workshop, Demo and Tutorial. Hong Kong, China 19 - 22 Jan 2020 Singapore. Springer. https://doi.org/10.1007/978-3-030-34223-4_42Mining multispectral aerial images for automatic detection of strategic bridge locations for disaster relief missions
Munawar, Hafiz Suliman, Zhang, Ji, Li, Hongzhou, Mo, Deqing and Chang, Liang. 2019. "Mining multispectral aerial images for automatic detection of strategic bridge locations for disaster relief missions." Leong, Hou U. and Lauw, Hady W. (ed.) 8th Workshop on Biologically-Inspired Techniques for Knowledge Discovery and Data Mining (BDM 2019), held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019). Macau, China 14 - 17 Apr 2019 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-030-26142-9_17A metaheuristic algorithm for hiding sensitive itemsets
Lin, Jerry Chun-Wei, Zhang, Yuyu, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2018. "A metaheuristic algorithm for hiding sensitive itemsets." Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Gunther and Wagner, Roland R. (ed.) 29th International Conference on Database and Expert Systems Applications (DEXA 2018). Regensburg, Germany 03 - 06 Sep 2018 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-319-98812-2_45Twitter analysis for depression on social networks based on sentiment and stress
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Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhou, Xujuan and Gururajan, Raj. 2019. "MeKG: building a medical knowledge graph by data mining from MEDLINE." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-37078-7_16A Case Study of Predicting Banking Customers Behaviour by Using Data Mining
Zhou, Xujuan, Bargshady, Ghazal, Abdar, Moloud, Tao, Xiaohui, Gururajan, Raj and Chan, K. C.. 2019. "A Case Study of Predicting Banking Customers Behaviour by Using Data Mining." 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2019). Beijing, China 28 - 30 Oct 2019 United States. https://doi.org/10.1109/BESC48373.2019.8963436An efficient and secure itinerary-based data aggregation algorithm for WSNs
Wang, Taochun, Zhang, Ji, Luo, Yonglong, Zuo, Kaizhong and Ding, Xintao. 2017. "An efficient and secure itinerary-based data aggregation algorithm for WSNs." 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-17). Sydney, Australia 01 - 04 Aug 2017 United States. https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.268A recommender system with advanced time series medical data analysis for diabetes patients in a telehealth environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Lin, Jerry Chun-Wei, Chen, Fulong, Luo, Yonglong and Zheng, Xiaoyao. 2018. "A recommender system with advanced time series medical data analysis for diabetes patients in a telehealth environment." Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Gunther and Wagner, Roland R. (ed.) 29th International Conference on Database and Expert Systems Applications (DEXA 2018). Regensburg, Germany 03 - 06 Sep 2018 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-319-98812-2_15A genetic algorithm based technique for outlier detection with fast convergence
Zhu, Xiaodong, Zhang, Ji, Hu, Zewen, Li, Hongzhou, Chang, Liang, Zhu, Youwen, Lin, Jerry Chun-Wei and Qin, Yongrui. 2018. "A genetic algorithm based technique for outlier detection with fast convergence." Gan, Guojun, Li, Bohan, Li, Xue and Wang, Shuliang (ed.) 14th International Conference on Advanced Data Mining and Applications (ADMA 2018). Nanjing, China 16 - 18 Nov 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-030-05090-0_8Mining heterogeneous information graph for health status classification
Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhang, Wenping and Cai, Yi. 2018. "Mining heterogeneous information graph for health status classification." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 United States. https://doi.org/10.1109/BESC.2018.8697292Exploring the use of a network model in drug prescription support for dental clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Qin, Yongrui, Goh, Elizabeth Zhixin and Hu, Aimin. 2018. "Exploring the use of a network model in drug prescription support for dental clinics." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Piscataway, NJ, United States. https://doi.org/10.1109/BESC.2018.00042Data Privacy and System Security for Banking and Financial Services Industry based on Cloud Computing Infrastructure
Mahalle, Abhishek, Yong, Jianming, Tao, Xiaohui and Shen, Jun. 2018. "Data Privacy and System Security for Banking and Financial Services Industry based on Cloud Computing Infrastructure." 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design. Nanjing, China 09 - 11 May 2018 United States. https://doi.org/10.1109/CSCWD.2018.8465318Hierarchical neural topic modeling with manifold regularization
Chen, Ziye, Ding, Cheng, Rao, Yanghui, Xie, Haoran, Tao, Xiaohui, Cheng, Gary and Wang, Fu Lee. 2021. "Hierarchical neural topic modeling with manifold regularization." World Wide Web. 24 (6), pp. 2139-2160. https://doi.org/10.1007/s11280-021-00963-7Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine
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Prasad, Shobna Mohini Mala, Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "Support vector machine model for multistep wind speed forecasting." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Netherlands. Elsevier. pp. 335-389Development of data-driven models for wind speed forecasting in Australia
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Sukumar, Divya, Zhang, Ji, Tao, Xiaohui, Wang, Xin and Zhang, Wenbin. 2020. "Predicting Workplace Injuries Using Machine Learning Algorithms." Webb, Geoff, Zhang, Zhongfei, Tseng, Vincent S., Williams, Graham, Vlachos, Michalis and Cao, Longbing (ed.) 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2020). Sydney, Australia 06 - 09 Oct 2020 Piscataway, United States. https://doi.org/10.1109/DSAA49011.2020.00104Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams
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Nawaz, M. Saqib, Fournier-Viger, Philippe and Zhang, Ji. 2020. "Proof Learning in PVS with Utility Pattern Mining." IEEE Access. 8, pp. 119806-119818. https://doi.org/10.1109/ACCESS.2020.3004199Deep interest shifting network with meta embeddings for fresh item recommendation
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Yeom, Jong-Min, Jeong, Seungtaek, Deo, Ravinesh C. and Ko, Jonghan. 2021. "Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite." GIScience and Remote Sensing. https://doi.org/10.1080/15481603.2020.1853352Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
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Zhou, Xujuan, Li, Yuefeng, Gururajan, Raj, Bargshady, Ghazal, Tao, Xiaohui, Venkataraman, Revathi, Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas. 2020. "A New Deep Convolutional Neural Network Model for Automated Breast Cancer Detection." 7th International Conference on Behavioural and Social Computing (BESC 2020). Bournemouth, United Kingdom 05 - 07 Nov 2020 United Kingdom. https://doi.org/10.1109/BESC51023.2020.9348322A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension
Nai, Peiran, Li, Lin and Tao, Xiaohui. 2020. "A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension." Huang, Zhisheng, Beek, Wouter, Wang, Hua, Zhou, Rui and Zhang, Yanchun (ed.) 21st International Conference on Web Information Systems Engineering (WISE 2020). Amsterdam, The Netherlands 20 - 24 Oct 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-62008-0_12Organizing Classification of Application Logic Attacks in Component-based E-Commerce Systems
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Allawi, Mohammed Falah, Ahmed, Mohammed Lateef, Aidan, Ibraheem Abdallah, Deo, Ravinesh C. and El-Shafie, Ahmed. 2021. "Developing reservoir evaporation predictive model for successful dam management." Stochastic Environmental Research and Risk Assessment. 35 (2), pp. 499-514. https://doi.org/10.1007/s00477-020-01918-6Application of effective drought index for quantification of meteorological drought events: a case study in Australia
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Mahalle, Abhishek, Yong, Jianming and Tao, Xiaohui. 2019. "Insider threat and mitigation for cloud architecture infrastructure in banking and financial services industry." 23rd IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2019). Porto, Portugal 06 - 08 May 2019 New York, United States. https://doi.org/10.1109/CSCWD.2019.8791906Modeling wheat yield with data-intelligent algorithms: artificial neural network versus genetic programming and minimax probability machine regression
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Karalasingham, Sagthitharan, Deo, Ravinesh and Prasad, Ramendra. 2021. "Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 271-298Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration
Goundar, Harshna, Yaseen, Zaher Mundher and Deo, Ravinesh. 2021. "Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 191-232Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition
Rezaie-Balf, Mohammad, Kim, Sungwon, Ghaemi, Alireza and Deo, Ravinesh. 2021. "Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 115-142Experimental Study on the Rainfall-Runoff Responses of Typical Urban Surfaces and Two Green Infrastructures Using Scale-Based Models
Liu, Wen, Feng, Qi, Deo, Ravinesh C., Yao, Lei and Wei, Wei. 2020. "Experimental Study on the Rainfall-Runoff Responses of Typical Urban Surfaces and Two Green Infrastructures Using Scale-Based Models ." Environmental Management (New York): an international journal for decision-makers, scientists and environmental auditors. 66 (4), pp. 683-693. https://doi.org/10.1007/s00267-020-01339-9SLIND: identifying stable links in online social networks
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Zheng, Xiaoyao, Luo, Yonglong and Lin, Jerry Chun-Wei. 2018. "SLIND: identifying stable links in online social networks." Pei, Jian, Sadiq, Shazia, Manolopoulos, Yannis and Li, Jianxin (ed.) 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018). Gold Coast, Australia 21 - 24 May 2018 Switzerland. https://doi.org/10.1007/978-3-319-91458-9_54Anonymization of multiple and personalized sensitive attributes
Lin, Jerry Chun-Wei, Liu, Qiankun, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2018. "Anonymization of multiple and personalized sensitive attributes." Ordonez, Carlos and Bellatreche, Ladjel (ed.) 20th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2018). Regensburg, Germany 03 - 06 Sep 2018 Cham, Switzerland. https://doi.org/10.1007/978-3-319-98539-8_16ITIL processes to control operational risk in cloud architecture infrastructure for banking and financial services industry
Mahalle, Abhishek, Yong, Jianming and Tao, Xiaohui. 2018. "ITIL processes to control operational risk in cloud architecture infrastructure for banking and financial services industry." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/BESC.2018.8697294Welcome message BESC 2018
Wang, Leon S. L., Hong, Tzung-Pei, Xu, Guandong, Ting, I-Hsien and Tao, Xiaohui. 2018. "Welcome message BESC 2018." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Los Alamitos, CA, United States. https://doi.org/10.1109/BESC.2018.8697887The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA)
Zhou, Xiangmin, Zhang, Ji and Zhang, Yanchun. 2019. "The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA)." 12th ACM International Conference on Web Search and Data Mining (WSDM 2019). Melbourne, Australia 11 - 15 Feb 2019 New York, United States. https://doi.org/10.1145/3289600.3291372Ensemble neural network approach detecting pain intensity from facial expressions
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "Ensemble neural network approach detecting pain intensity from facial expressions." Artificial Intelligence in Medicine. 109, pp. 1-12. https://doi.org/10.1016/j.artmed.2020.101954PPSF: an open-source privacy-preserving and security mining framework
Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Wu, Lintai, Gan, Wensheng, Djenouri, Youcef and Zhang, Ji. 2018. "PPSF: an open-source privacy-preserving and security mining framework." Tong, Hanghang, Li, Zhenhui (Jessie), Zhu, Feida and Yu, Jeffrey (ed.) 18th IEEE International Conference on Data Mining Workshops (ICDMW 2018). Singapore 17 - 20 Nov 2018 New York, United States. https://doi.org/10.1109/ICDMW.2018.00208A survey on text classification and its applications
Zhou, Xujuan, Gururajan, Raj, Li, Yuefeng, Venkataraman, Revathi, Tao, Xiaohui, Bargshady, Ghazala, Barua, Prabal D. and Kondalsamy-Chennakesavan, Srinivas. 2020. "A survey on text classification and its applications." Web Intelligence. 18 (2), pp. 205-216. https://doi.org/10.3233/WEB-200442Automated prediction of sepsis using temporal convolutional network
Kok, Christopher, Jahmunah, V., Oh, Shu Lih, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Cheong, Kang Hao, Gururajan, Rashmi, Molinari, Filippo and Acharya, U. Rajendra. 2020. "Automated prediction of sepsis using temporal convolutional network." Computers in Biology and Medicine. 127, pp. 1-10. https://doi.org/10.1016/j.compbiomed.2020.103957Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods
Prasad, Ramendra, Charan, Dhrishna, Joseph, Lionel, Nguyen-Huy, Thong, Deo, Ravinesh C. and Singh, Sanjay. 2021. "Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 359-381Artificial neural networks for prediction of Steadman Heat Index
Chand, Bhuwan, Nguyen-Huy, Thong and Deo, Ravinesh C.. 2021. "Artificial neural networks for prediction of Steadman Heat Index." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 293-357Spatial prediction of landslide susceptibility using random forest algorithm
Rahmati, Omid, Kornejady, Aiding and Deo, Ravinesh C.. 2021. "Spatial prediction of landslide susceptibility using random forest algorithm." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 281-292Intelligent data analytics for time series, trend analysis and drought indices comparison
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2021. "Intelligent data analytics for time series, trend analysis and drought indices comparison." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 151-169Modulation of tropical cyclone genesis by Madden–Julian Oscillation in the Southern Hemisphere
Dayal, Kavina S., Wang, Bin and Deo, Ravinesh C.. 2021. "Modulation of tropical cyclone genesis by Madden–Julian Oscillation in the Southern Hemisphere." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 127-150Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction
Nguyen-Huy, Thong, Deo, Ravinesh C., Yaseen, Zaher Mundher, Mushtaq, Shahbaz and Prasad, Ramendra. 2021. "Bayesian Markov Chain Monte Carlo-based copulas: factoring the role of large-scale climate indices in monthly flood prediction." Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher (ed.) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer. pp. 29-47Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation
Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur and Yaseen, Zaher Mundher. 2021. Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Singapore. Springer.A security review of event-based application function and service component architecture
Nabi, Faisal, Yong, Jianming and Tao, Xiaohui. 2020. "A security review of event-based application function and service component architecture." International Journal of Systems and Software Security and Protection. 11 (2), pp. 58-70. https://doi.org/10.4018/IJSSSP.2020070104A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research
Chen, Xieling, Zhang, Xinxin, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee, Xie, Nengfu and Hao, Tianyong. 2021. "A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research." Multimedia Tools and Applications. 80, pp. 17335-17363. https://doi.org/10.1007/s11042-020-09062-7Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Deo, Ravinesh C.. 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms." Renewable and Sustainable Energy Reviews. 132. https://doi.org/10.1016/j.rser.2020.110003Feature-Based Learning in Drug Prescription System for Medical Clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Feature-Based Learning in Drug Prescription System for Medical Clinics." Neural Processing Letters. 52, pp. 1703-1721. https://doi.org/10.1007/s11063-020-10296-7Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2020. "Electrical Energy Demand Forecasting Model Development and Evaluation with Maximum Overlap Discrete Wavelet Transform-Online Sequential Extreme Learning Machines Algorithms." Energies. 13 (9). https://doi.org/10.3390/en13092307Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network
Huynh, Anh Ngoc‐Lan, Deo, Ravinesh C., An-Vo, Duc-Anh, Ali, Mumtaz, Raj, Nawin and Abdulla, Shahab. 2020. "Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network." Energies. 13 (14). https://doi.org/10.3390/en13143517Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications
Al-Hadeethi, Hanan, Abdulla, Shahab, Diykh, Mohammed, Deo, Ravinesh C. and Green, Jonathan H.. 2020. "Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications." Expert Systems with Applications. 161. https://doi.org/10.1016/j.eswa.2020.113676Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region
Wu, Min, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yin, Zhenliang, Yang, Linshan and Sheng, Danrui. 2020. "Random forest predictive model development with uncertainty analysis capability for the estimation of evapotranspiration in an arid oasis region." Hydrology Research: an international journal. 51 (4), pp. 648-665. https://doi.org/10.2166/nh.2020.012Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors
Liu, Wen, Feng, Qi, Chen, Weiping and Deo, Ravinesh C.. 2020. "Stormwater runoff and pollution retention performances of permeable pavements and the effects of structural factors." Environmental Science and Pollution Research. 27 (24), pp. 30831-30843. https://doi.org/10.1007/s11356-020-09220-2Multisource multimedia data understanding: special theme issue of Multimedia Tools and Applications, Vol. 78, No. 33221
Zhang, Shichao, Wang, Ruili, Tao, Xiaohui and Zhu, Yingying. 2019. Multisource multimedia data understanding: special theme issue of Multimedia Tools and Applications, Vol. 78, No. 33221. New York, United States. Springer.A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Diykh, Mohammed and Lin, Jerry Chun-Wei. 2018. "A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment." Roy, Sanjiban Sekhar, Samui, Pijushi, Deo, Ravinesh and Ntalampiras, Stalampiras (ed.) Big data in engineering applications. Singapore. Springer. pp. 363-384Enhanced sequence labeling based on latent variable conditional random fields
Lin, Jerry Chun-Wei, Shao, Yinan, Zhang, Ji and Yun, Unil. 2020. "Enhanced sequence labeling based on latent variable conditional random fields." Neurocomputing. 403, pp. 431-440. https://doi.org/10.1016/j.neucom.2020.04.102Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea
Yeom, Jong-Min, Deo, Ravinesh C., Adamowski, Jan F., Park, Seonyoung and Lee, Chang-Suk. 2020. "Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea." Environmental Research Letters. 15 (9), pp. 1-10. https://doi.org/10.1088/1748-9326/ab9467SLIND+: stable LINk detection
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Li, Hongzhou, Chen, Fulong and Luo, Yonglong. 2020. "SLIND+: stable LINk detection." Hou U, Leong, Yang, Jian, Cai, Yi, Karlapalem, Kamalakar, Liu, An and Huang, Xin (ed.) 20th International Conference on Web Information Systems Engineering (WISE 2019): Workshop, Demo and Tutorial. Hong Kong, China 19 - 22 Jan 2020 Singapore. https://doi.org/10.1007/978-981-15-3281-8_8Classification of Logical Vulnerability Based on Group Attacking Method
Nabi, Faisal, Yong, Jianming and Tao, Xaiohui. 2020. "Classification of Logical Vulnerability Based on Group Attacking Method." 11th International Conference on Ambient Systems, Networks and Technologies (ANT 2020). Warsaw Poland 06 - 09 Apr 2020 Netherlands. https://doi.org/10.1016/j.procs.2020.03.109A novel differential privacy recommendation method based on distributed framework
Zheng, Xiaoyao, Luo, Yonglong, Zhang, Ji, Sun, Liping and Chen, Fulong. 2018. "A novel differential privacy recommendation method based on distributed framework." Tong, Hanghang, Li, Zhenhui (Jessie), Zhu, Feida and Yu, Jeffrey (ed.) 2018 Workshop on Scalable and Applicable Recommendation Systems (SAREC 2018), in conjunction with the 18th IEEE International Conference on Data Mining (ICDM 2018). Singapore 17 - 20 Nov 2018 Los Alamitos, California. https://doi.org/10.1109/ICDMW.2018.00189Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments
Salih, Sinan Q., Sharafati, Ahmad, Ebtehaj, Isa, Sanikhani, Hadi, Siddique, Ridwan, Deo, Ravinesh C., Bonakdari, Hossein, Shahid, Shamsuddin and Yaseen, Zaher Mundher. 2020. "Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments." Hydrological Sciences Journal. 65 (7), pp. 1145-1157. https://doi.org/10.1080/02626667.2020.1734813Mining health knowledge graph for health risk prediction
Tao, Xiaohui, Pham, Thuan, Zhang, Ji, Yong, Jianming, Goh, Wee Pheng, Zhang, Wenping and Cai, Yi. 2020. "Mining health knowledge graph for health risk prediction." World Wide Web. 23 (4), pp. 2341-2362. https://doi.org/10.1007/s11280-020-00810-1REISCH: incorporating lightweight and reliable algorithms into healthcare applications of WSNs
Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2020. "REISCH: incorporating lightweight and reliable algorithms into healthcare applications of WSNs." Applied Sciences. 10 (6), pp. 1-36. https://doi.org/10.3390/app10062007Computational Social Science as the ultimate Web Intelligence
Tao, Xiaohui, Velasquez-Silva, Juan Domingo, Liu, Jiming and Zhong, Ning. 2020. "Computational Social Science as the ultimate Web Intelligence." World Wide Web. 23 (3), pp. 1743-1745. https://doi.org/10.1007/s11280-020-00801-2Hybridized neural fuzzy ensembles for dust source modeling and prediction
Rahmati, Omid, Panahi, Mahdi, Ghiasi, Seid Saeid, Deo, Ravinesh C., Tiefenbacher, John P., Pradhan, Biswajeet, Jahani, Ali, Goshtasb, Hamid, Kornejady, Aiding, Shahabi, Himan, Shirzadi, Ataollah, Khosravi, Hassan, Moghaddam, Davoud Davoudi, Mohtashamian, Maryamsadat and Bui, Dieu Tien. 2020. "Hybridized neural fuzzy ensembles for dust source modeling and prediction." Atmospheric Environment. 224, pp. 1-11. https://doi.org/10.1016/j.atmosenv.2020.117320Constructing a knowledge-based heterogeneous information graph for medical health status classification
Pham, Thuan, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Constructing a knowledge-based heterogeneous information graph for medical health status classification." Health Information Science and Systems. 8 (1). https://doi.org/10.1007/s13755-020-0100-6Relational intelligence recognition in online social networks - a survey
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Pham, Thuan and Chen, Bing. 2020. "Relational intelligence recognition in online social networks - a survey." Computer Science Review. 35. https://doi.org/10.1016/j.cosrev.2019.100221Global solar radiation estimation and climatic variability analysis using extreme learning machine based predictive model
Tao, Hai, Sharafati, Ahmad, Mohammed, Achite, Salih, Sinan Q., Deo, Ravinesh C., Al-Ansari, Nadhir and Yaseen, Zaher Mundher. 2020. "Global solar radiation estimation and climatic variability analysis using extreme learning machine based predictive model." IEEE Access. 8, pp. 12026-12042. https://doi.org/10.1109/ACCESS.2020.2965303Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia
Ghorbani, Mohammad Ali, Deo, Ravinesh C., Kim, Sungwon, Kashani, Mahasa Hasanpour, Karimi, Vahid and Izadkhah, Maryam. 2020. "Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia." Soft Computing. 24, pp. 12079-12090. https://doi.org/10.1007/s00500-019-04648-2Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China
Yang, Linshan, Feng, Qi, Adamowski, Jan F., Deo, Ravinesh C., Yin, Zhenlaing, Wen, Xiaohu, Tang, Xia and Wu, Min. 2020. "Causality of climate, food production and conflict over the last two millennia in the Hexi Corridor, China." Science of the Total Environment. 713, pp. 1-11. https://doi.org/10.1016/j.scitotenv.2020.136587Mixing characteristics of a film-exciting flapping jet
Wu, M., Xu, M., Mi, J. and Deo, R. C.. 2020. "Mixing characteristics of a film-exciting flapping jet." International Journal of Heat and Fluid Flow. 82, pp. 1-9. https://doi.org/10.1016/j.ijheatfluidflow.2019.108532Enhanced deep learning algorithm development to detect pain intensity from facial expression images
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffery, Whittaker, Frank and Wang, Hua. 2020. "Enhanced deep learning algorithm development to detect pain intensity from facial expression images." Expert Systems with Applications. 149, pp. 1-10. https://doi.org/10.1016/j.eswa.2020.113305A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2020. "A hybrid air quality early-warning framework: an hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms." Science of the Total Environment. 709, pp. 1-23. https://doi.org/10.1016/j.scitotenv.2019.135934Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia
Rahmati, Omid, Falah, Fatemeh, Dayal, Kavina Shaanu, Deo, Ravinesh C., Mohammadi, Farnoush, Biggs, Trent, Moghaddam, Davoud Davoudi, Naghibi, Seyed Amir and Bui, Dieu Tien. 2020. "Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia." Science of the Total Environment. 699 (134230). https://doi.org/10.1016/j.scitotenv.2019.134230A hybrid representation based simile component extraction
Ren, Da, Zhang, Pengfei, Li, Qing, Tao, Xiaohui, Chen, Junying and Cai, Yi. 2020. "A hybrid representation based simile component extraction." Neural Computing and Applications. 32 (18), pp. 14655-14665. https://doi.org/10.1007/s00521-020-04818-6Efficient chain structure for high-utility sequential pattern mining
Lin, Jerry Chun-Wei, Li, Yuanfa, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2020. "Efficient chain structure for high-utility sequential pattern mining." IEEE Access. 8, pp. 40714-40722. https://doi.org/10.1109/ACCESS.2020.2976662FRIOD: a deeply integrated feature-rich interactive system for effective and efficient outlier detection
Zhu, Xiaodong, Zhang, Ji, Li, Hongzhou, Fournier-Viger, Philippe, Lin, Jerry Chun-Wei and Chang, Liang. 2017. "FRIOD: a deeply integrated feature-rich interactive system for effective and efficient outlier detection." IEEE Access. 5, pp. 25682-25695. https://doi.org/10.1109/ACCESS.2017.2771237Proposing a secure component-based-application logic and system’s integration testing approach
Nabi, Faisal, Yong, Jianming and Tao, Xiaohui. 2019. "Proposing a secure component-based-application logic and system’s integration testing approach." International Journal of Information and Electronics Engineering. 11 (1), pp. 25-39. https://doi.org/10.6636/IJEIE.20190911(1).04Affective and sentimental computing
Xie, Haoran, Wong, Tak‑Lam, Wang, Fu Lee, Wong, Raymond, Tao, Xiaohui and Wang, Ran. 2019. "Affective and sentimental computing." International Journal of Machine Learning and Cybernetics. 10 (8), pp. 2043-2044. https://doi.org/10.1007/s13042-019-00977-8Mining of high average-utility patterns with item-level thresholds
Lin, Jerry Chun-Wei, Li, Ting, Fournier-Viger, Philippe, Zhang, Ji and Guo, Xiangmin. 2019. "Mining of high average-utility patterns with item-level thresholds." Journal of Internet Technology. 20 (1), pp. 187-194. https://doi.org/10.3966/160792642019012001017High average-utility sequential pattern mining based on uncertain databases
Lin, Jerry Chun-Wei, Li, Ting, Pirouz, Matin, Zhang, Ji and Fournier-Viger, Philippe. 2020. "High average-utility sequential pattern mining based on uncertain databases." Knowledge and Information Systems. 62 (3), pp. 1199-1228. https://doi.org/10.1007/s10115-019-01385-8Efficient and secure multi-dimensional geometric range query over encrypted data in cloud
Li, Xingxin, Zhu, Youwen, Wang, Jian and Zhang, Ji. 2019. "Efficient and secure multi-dimensional geometric range query over encrypted data in cloud." Journal of Parallel and Distributed Computing. 131, pp. 44-54. https://doi.org/10.1016/j.jpdc.2019.04.015A novel approach for component based application logic event attack modeling
Nabi, Faisal, Yong, Jianming and Tao, Xiaohui. 2020. "A novel approach for component based application logic event attack modeling." International Journal of Network Security. 22 (3), pp. 437-443.Projected spatial patterns in precipitation and air temperature for China's northwest region derived from high‐resolution regional climate models
Yin, Zhenliang, Feng, Qi, Yang, Linshan, Deo, Ravinesh C., Adamowski, Jan F., Wen, Xiaohu, Jia, Bing and Si, Jianhua. 2020. "Projected spatial patterns in precipitation and air temperature for China's northwest region derived from high‐resolution regional climate models." International Journal of Climatology. 40 (8), pp. 3922-3941. https://doi.org/10.1002/joc.6435Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables
Yeom, Jong-Min, Deo, Ravinesh, Adamowski, Jan F., Chae, Taebyeong, Kim, Dong-Su, Han, Kyung-Soo and Kim, Do-Yong. 2020. "Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables." Renewable and Sustainable Energy Reviews. 119, pp. 1-14. https://doi.org/10.1016/j.rser.2019.109570Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia
Rahmati, Omid, Panahi, Mahdi, Kalantari, Zahra, Soltani, Elinaz, Falah, Fatemeh, Dayal, Kavina S., Mohammadi, Farnoush, Deo, Ravinesh C., Tiefenbacher, John and Bui, Dieu Tien. 2020. "Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia." Science of the Total Environment. 718, pp. 1-17. https://doi.org/10.1016/j.scitotenv.2019.134656Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China
Yang, Linshan, Feng, Qi, Yin, Zhenliang, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Liu, Wen. 2020. "Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China." Catena. 187. https://doi.org/10.1016/j.catena.2019.104345An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks
Barzegar, Rahim, Sattarpour, Masoud, Deo, Ravinesh, Fijani, Elham and Adamowski, Jan. 2020. "An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks." Neural Computing and Applications. 32 (13), pp. 9065-9080. https://doi.org/10.1007/s00521-019-04418-zModern artificial intelligence model development for undergraduate student performance prediction: an investigation on engineering mathematics courses
Deo, Ravinesh C., Yaseen, Zaher Mundher, Al-Ansari, Nadhir, Nguyen-Huy, Thong, Langlands, Trevor and Galligan, Linda. 2020. "Modern artificial intelligence model development for undergraduate student performance prediction: an investigation on engineering mathematics courses." IEEE Access. 8, pp. 136697-136724. https://doi.org/10.1109/ACCESS.2020.3010938Correcting satellite precipitation data and assimilating satellite-derived soil moisture data to generate ensemble hydrological forecasts within the HBV rainfall-runoff model
Ciupak, Maurycy, Ozga-Zielinski, Bogdan, Adamowski, Jan, Deo, Ravinesh C and Kochanek, Krzysztof. 2019. "Correcting satellite precipitation data and assimilating satellite-derived soil moisture data to generate ensemble hydrological forecasts within the HBV rainfall-runoff model." Water: an open access journal. 11 (10), pp. 1-31. https://doi.org/10.3390/w11102138Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: Implications for water resources management in endorheic basins
Guo, Xiaoyan, Feng, Qi, Si, Jianhua, Xi, Haiyang, Zhao, Yan and Deo, Ravinesh C.. 2019. "Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: Implications for water resources management in endorheic basins." Journal of Hydrology. 579, pp. 1-11. https://doi.org/10.1016/j.jhydrol.2019.124212Probabilistic seasonal rainfall forecasts using semiparametric d-vine copula-based quantile regression
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz and Khan, Shahjahan. 2020. "Probabilistic seasonal rainfall forecasts using semiparametric d-vine copula-based quantile regression." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 203-227Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2020. "Monthly rainfall forecasting with Markov Chain Monte Carlo simulations integrated with statistical bivariate copulas." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 89-105Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2020. "Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 141-178Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls
Zhu, Meng, Feng, Qi, Zhang, Mengxu, Liu, Wei, Deo, Ravinesh C., Zhang, Chengqi and Yang, Linshan. 2019. "Soil organic carbon in semiarid alpine regions: the spatial distribution, stock estimation, and environmental controls." Journal of Soils and Sediments: protection, risk assessment and remediation. 19 (10), pp. 3427-3441. https://doi.org/10.1007/s11368-019-02295-6Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains
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Cao, Jianjun, Adamowski, Jan F., Deo, Ravinesh C., Xu, Xueyun, Gong, Yifan and Feng, Qi. 2019. "Grassland degradation on the Qinghai-Tibetan Plateau: reevaluation of causative factors." Rangeland Ecology and Management. 72 (6), pp. 988-995. https://doi.org/10.1016/j.rama.2019.06.001Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals
Diykh, Mohammed, Abdulla, Shahab, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals." Biomedical Signal Processing and Control. 54, pp. 1-10. https://doi.org/10.1016/j.bspc.2019.101611The impacts of substrate and vegetation on stormwater runoff quality from extensive green roofs
Liu, Wen, Wei, Wei, Chen, Weiping, Deo, Ravinesh C., Si, Jianhua, Xi, Haiyang, Li, Baofeng and Feng, Qi. 2019. "The impacts of substrate and vegetation on stormwater runoff quality from extensive green roofs." Journal of Hydrology. 576, pp. 575-582. https://doi.org/10.1016/j.jhydrol.2019.06.061Application of multivariate recursive nesting bias correction, multiscale wavelet entropy and AI-based models to improve future precipitation projection in upstream of the Heihe River, Northwest China
Yang, Linshan, Feng, Qi, Yin, Zhenliang, Wen, Xiaohu, Deo, Ravinesh C., Si, Jianhua and Li, Changbin. 2019. "Application of multivariate recursive nesting bias correction, multiscale wavelet entropy and AI-based models to improve future precipitation projection in upstream of the Heihe River, Northwest China." Theoretical and Applied Climatology. 137 (1-2), pp. 323-339. https://doi.org/10.1007/s00704-018-2598-yWavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction." Renewable and Sustainable Energy Reviews. 113, pp. 1-19. https://doi.org/10.1016/j.rser.2019.109247Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
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Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2019. "Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia." Renewable and Sustainable Energy Reviews. 113. https://doi.org/10.1016/j.rser.2019.109293Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme
Tao, Hai, Ebtehaj, Isa, Bonakdari, Hossein, Heddam, Salim, Voyant, Cyril, Al-Ansari, Nadhir, Deo, Ravinesh and Yaseen, Zaheer Mundher. 2019. "Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme." Energies. 12 (7), pp. 1-24. https://doi.org/10.3390/en12071365Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models
Kisi, Ozgur, Choubin, Bahram, Deo, Ravinesh C. and Yaseen, Zaheer Mundher. 2019. "Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models." Hydrological Sciences Journal. 64 (10), pp. 1240-1252. https://doi.org/10.1080/02626667.2019.1632460Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms
Ali, Mumtaz, Deo, Ravinesh C., Maraseni, Tek and Downs, Nathan J.. 2019. "Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with simulated annealing and kernel ridge regression algorithms." Journal of Hydrology. 576, pp. 164-184. https://doi.org/10.1016/j.jhydrol.2019.06.032Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction." Energies. 12 (12), pp. 1-42. https://doi.org/10.3390/en12122407Situations, challenges and strategies of urban water management in Beijing under rapid urbanization effect
Liu, Wen, Chen, Weiping, Feng, Qi and Deo, Ravinesh C.. 2019. "Situations, challenges and strategies of urban water management in Beijing under rapid urbanization effect." Water Science and Technology: Water Supply. 19 (1), pp. 115-127. https://doi.org/10.2166/ws.2018.057Suitable exclosure duration for the restoration of degraded alpine grasslands on the Qinghai-Tibetan Plateau
Cao, Jianjun, Li, Guangdong, Adamowski, Jan F., Holden, Nicolas M., Deo, Ravinesh C., Hu, Zeyong, Zhu, Guofeng, Xu, Xueyun and Feng, Qi. 2019. "Suitable exclosure duration for the restoration of degraded alpine grasslands on the Qinghai-Tibetan Plateau." Land Use Policy: the international journal covering all aspects of land use. 86, pp. 261-267. https://doi.org/10.1016/j.landusepol.2019.05.008Environmental and economic impacts and trade-offs from simultaneous management of soil constraints, nitrogen and water
Kodur, Shreevatsa, Shrestha, Uttam Babu, Maraseni, Tek Narayan and Deo, Ravinesh C.. 2019. "Environmental and economic impacts and trade-offs from simultaneous management of soil constraints, nitrogen and water." Journal of Cleaner Production. 222, pp. 960-970. https://doi.org/10.1016/j.jclepro.2019.03.079Land subsidence modelling using tree-based machine learning algorithms
Rahmati, Omid, Falah, Fatemeh, Naghibi, Seyed Amir, Biggs, Trent, Soltani, Milad, Deo, Ravinesh C., Cerda, Artemi, Mohammadi, Farnoush and Bui, Dieu Tien. 2019. "Land subsidence modelling using tree-based machine learning algorithms." Science of the Total Environment. 672, pp. 239-252. https://doi.org/10.1016/j.scitotenv.2019.03.496Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2019. "Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach." Catena. 177, pp. 149-166. https://doi.org/10.1016/j.catena.2019.02.012Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, Kath, Jarrod and Khan, Shahjahan. 2019. "Copula statistical models for analyzing stochastic dependencies of systemic drought risk and potential adaptation strategies." Stochastic Environmental Research and Risk Assessment. 33 (3), pp. 779-799. https://doi.org/10.1007/s00477-019-01662-6Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China
Cao, Jianjun, Gong, Yifan, Adamowski, Jan F., Deo, Ravinesh C., Zhu, Guofeng, Dong, Xiaogang, Zhang, Xiaofang, Liu, Haibo and Xin, Cunlin. 2019. "Effects of stand age on carbon storage in dragon spruce forest ecosystems in the upper reaches of the Bailongjiang River basin, China." Scientific Reports. 9 (1), pp. 1-11. https://doi.org/10.1038/s41598-019-39626-zThe role of topography in shaping the spatial patterns of soil organic carbon
Zhu, Meng, Feng, Qi, Qin, Yanyan, Cao, Jiajun, Zhang, Mengxu, Liu, Wei, Deo, Ravinesh C., Zhang, Chengqi, Li, Ruolin and Li, Baofeng. 2019. "The role of topography in shaping the spatial patterns of soil organic carbon." Catena. 176, pp. 296-305. https://doi.org/10.1016/j.catena.2019.01.029PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches
Rahmati, Omid, Kornejady, Aiding, Samadi, Mahmood, Deo, Ravinesh C., Conoscenti, Christian, Lombardo, Luigi, Dayal, Kavina, Taghizadeh-Mehrjardi, Ruhollah, Pourghasemi, Hamid Reza, Kumar, Sandeep and Bui, Dieu Tien. 2019. "PMT: new analytical framework for automated evaluation of geo-environmental modelling approaches." Science of the Total Environment. 664, pp. 296-311. https://doi.org/10.1016/j.scitotenv.2019.02.017Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach
Deo, Ravinesh C., Sahin, Mehmet, Adamowski, Jan F. and Mi, Jianchun. 2019. "Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach." Renewable and Sustainable Energy Reviews. 104, pp. 235-261. https://doi.org/10.1016/j.rser.2019.01.009Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min, Yin, Zhenliang, Yang, Linshan and Singh, Vijay P.. 2019. "Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems." Journal of Hydrology. 570, pp. 167-184. https://doi.org/10.1016/j.jhydrol.2018.12.060PAX: using pseudonymization and anonymization to protect patients’ identities and data in the healthcare system
Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2019. "PAX: using pseudonymization and anonymization to protect patients’ identities and data in the healthcare system." International Journal of Environmental Research and Public Health. 16 (1490), pp. 1-36. https://doi.org/10.3390/ijerph16091490Efficient and secure ECDSA algorithm and its applications: a survey
Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2019. "Efficient and secure ECDSA algorithm and its applications: a survey." International Journal of Communication Networks and Information Security. 11 (1), pp. 7-35.New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm
Meshram, Sarita Gajbhiye, Ghorbani, M. A., Deo, Ravinesh C., Kashani, Mahsa Hasanpour, Meshram, Chandrashekhar and Karimi, Vahid. 2019. "New approach for sediment yield forecasting with a two-phase feed forward neuron network-particle swarm optimization model integrated with the gravitational search algorithm." Water Resources Management. 33 (7), pp. 2335-2356. https://doi.org/10.1007/s11269-019-02265-0Long-term modelling of wind speeds using six different heuristic artificial intelligence approaches
Maroufpoor, Saman, Sanikhani, Hadi, Kisi, Ozgur, Deo, Ravinesh C. and Yaseen, Zaher Mundher. 2019. "Long-term modelling of wind speeds using six different heuristic artificial intelligence approaches." International Journal of Climatology. 39 (8), pp. 3543-3557. https://doi.org/10.1002/joc.6037Development and evaluation of hybrid artificial neural network architectures for modeling spatio-temporal groundwater fluctuations in a complex aquifer system
Roshni, Thendiyath, Jha, Madan K., Deo, Ravinesh C. and Vandana, A.. 2019. "Development and evaluation of hybrid artificial neural network architectures for modeling spatio-temporal groundwater fluctuations in a complex aquifer system." Water Resources Management. 33 (7), pp. 2381-2397. https://doi.org/10.1007/s11269-019-02253-4A two-phase approach to mine short-periodic high utility itemsets in transactional databases
Lin, Jerry Chun-Wei, Zhang, Jiexiong, Fournier-Viger, Philippe, Hong, Tzung-Pei and Zhang, Ji. 2017. "A two-phase approach to mine short-periodic high utility itemsets in transactional databases." Advanced Engineering Informatics: the science of supporting knowledge-intensive activities. 33, pp. 29-43. https://doi.org/10.1016/j.aei.2017.04.007RAMHU: A new robust lightweight scheme for mutual users authentication in healthcare applications
Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2019. "RAMHU: A new robust lightweight scheme for mutual users authentication in healthcare applications." Security and Communication Networks. 2019, pp. 1-26. https://doi.org/10.1155/2019/3263902An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction
Yaseen, Zaher Mundher, Sulaiman, Sadeq Oleiwi, Deo, Ravinesh C. and Chau, Kwok-Wing. 2019. "An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, practical applications in water resource engineering area and future research direction." Journal of Hydrology. 569, pp. 387-408. https://doi.org/10.1016/j.jhydrol.2018.11.069The influence of structural factors on stormwater runoff retention of extensive green roofs: new evidence from scale-based models and real experiments
Liu, Wen, Feng, Qi, Chen, Weiping, Wei, Wei and Deo, Ravinesh C.. 2019. "The influence of structural factors on stormwater runoff retention of extensive green roofs: new evidence from scale-based models and real experiments." Journal of Hydrology. 569, pp. 230-238. https://doi.org/10.1016/j.jhydrol.2018.11.066Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes
Chen, Lijuan, Li, Changsheng, Feng, Qi, Wei, Yongping, Zhao, Yan, Zhu, Meng and Deo, Ravinesh C.. 2019. "Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes." Catena. 172, pp. 581-589. https://doi.org/10.1016/j.catena.2018.09.030Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2019. "Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia." Journal of Cleaner Production. 216, pp. 288-310. https://doi.org/10.1016/j.jclepro.2019.01.158A novel social network hybrid recommender system based on hypergraph topologic structure
Zheng, Xiaoyao, Luo, Yonglong, Sun, Liping, Ding, Xintao and Zhang, Ji. 2018. "A novel social network hybrid recommender system based on hypergraph topologic structure." World Wide Web. 21 (4), pp. 985-1013. https://doi.org/10.1007/s11280-017-0494-5Exploiting highly qualified pattern with frequency and weight occupancy
Gan, Wensheng, Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Chao, Han-Chieh, Zhan, Justin and Zhang, Ji. 2018. "Exploiting highly qualified pattern with frequency and weight occupancy." Knowledge and Information Systems. 56 (1), pp. 165-196. https://doi.org/10.1007/s10115-017-1103-8An infrastructure framework for privacy protection of community medical internet of things - transmission protection, storage protection and access control
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Zheng, Xiaoyao, Luo, Yonglong, Sun, Liping, Zhang, Ji and Chen, Fulong. 2018. "A tourism destination recommender system using users' sentiment and temporal dynamics." Journal of Intelligent Information Systems. 51 (3), pp. 557-578. https://doi.org/10.1007/s10844-018-0496-5Future projection with an extreme-learning machine and support vector regression of reference evapotranspiration in a mountainous inland watershed in north-west China
Yin, Zhenliang, Feng, Qi, Yang, Linshan, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Xiao, Shengchun. 2017. "Future projection with an extreme-learning machine and support vector regression of reference evapotranspiration in a mountainous inland watershed in north-west China." Water: an open access journal. 9 (11), pp. 880-902. https://doi.org/10.3390/w9110880The spatial and temporal contribution of glacier runoff to watershed discharge in the Yarkant River Basin, Northwest China
Yin, Zhenliang, Feng, Qi, Liu, Shiyin, Zhou, Songbing, Li, Jing, Yang, Linshan and Deo, Ravinesh C.. 2017. "The spatial and temporal contribution of glacier runoff to watershed discharge in the Yarkant River Basin, Northwest China." Water: an open access journal. 9 (3), pp. 159-178. https://doi.org/10.3390/w9030159A new nested ensemble technique for automated diagnosis of breast cancer
Abdar, Moloud, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Barua, Prabal D. and Gururajan, Rashmi. 2020. "A new nested ensemble technique for automated diagnosis of breast cancer." Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2018.11.004On relational learning and discovery in social networks: a survey
Zhang, Ji, Tan, Leonard and Tao, Xiaohui. 2018. "On relational learning and discovery in social networks: a survey." International Journal of Machine Learning and Cybernetics. 10 (8), pp. 2085-2102. https://doi.org/10.1007/s13042-018-0823-8Drug prescription support in dental clinics through drug corpus mining
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhang, Wenping and Xie, Haoran. 2018. "Drug prescription support in dental clinics through drug corpus mining." International Journal of Data Science and Analytics. 6 (4), pp. 341-349. https://doi.org/10.1007/s41060-018-0149-3Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset
Al-Musaylh, Mohanad S., Deo, Ravinesh C. and Li, Yan. 2018. "Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset." Huang, Q. and Kolhe, M. (ed.) 3rd International Conference on Power and Renewable Energy (ICPRE 2018). Berlin, Germany 21 - 24 Sep 2018 Germany. https://doi.org/10.1051/e3sconf/20186408001Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China
Zhu, Meng, Feng, Qi, Zhang, Mengxu, Liu, Wei, Qin, Yanyan, Deo, Ravinesh C. and Zhang, Chengqi. 2019. "Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China." Journal of Soils and Sediments: protection, risk assessment and remediation. 19 (4), pp. 1640-1650. https://doi.org/10.1007/s11368-018-2203-0A joint deep neural network model for pain recognition from face
Bargshady, Ghazal, Soar, Jeffrey, Zhou, Xujuan, Deo, Ravinesh, Whittaker, Frank and Wang, Hua. 2019. "A joint deep neural network model for pain recognition from face." 4th IEEE International Conference on Computer and Communication Systems (ICCCS 2019). Singapore 23 - 25 Feb 2019 Singapore. pp. 52-56 https://doi.org/10.1109/CCOMS.2019.8821779Effects of Afforestation on Soil Bulk Density and pH in the Loess Plateau, China
Zhang, Xiaofang, Adamowski, Jan F., Deo, Ravinesh C., Xu, Xueyun, Zhu, Guofeng and Cao, Jianjun. 2018. "Effects of Afforestation on Soil Bulk Density and pH in the Loess Plateau, China." Water: an open access journal. 10 (12), pp. 1-15. https://doi.org/10.3390/w10121710Assessment of soil salinisation in the Ejina Oasis located in the lower reaches of Heihe River, Northwestern China
Zhao, Yu, Feng, Qi, Lu, Aigang and Deo, Ravinesh C.. 2019. "Assessment of soil salinisation in the Ejina Oasis located in the lower reaches of Heihe River, Northwestern China." Chemistry and Ecology. 35 (4), pp. 330-343. https://doi.org/10.1080/02757540.2018.1554060Design and implementation of a hybrid MLP-GSA model with multilayer perceptron-gravitational search algorithm for monthly lake water level forecasting
Ghorbani, Mohammad Ali, Deo, Ravinesh C., Karimi, Vahid, Kashani, Mahsa H. and Ghorbani, Shahryar. 2018. "Design and implementation of a hybrid MLP-GSA model with multilayer perceptron-gravitational search algorithm for monthly lake water level forecasting." Stochastic Environmental Research and Risk Assessment. 33 (1), pp. 125-147. https://doi.org/10.1007/s00477-018-1630-1Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model
Yeom, Jong-min, Jeong, Seungtaek, Jeong, Gwanyong, Ng, Chi Tim, Deo, Ravinesh C. and Ko, Jonghan. 2018. "Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model." Scientific Reports. 8, pp. 1-15. https://doi.org/10.1038/s41598-018-34550-0Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties
Kouadio, Louis, Deo, Ravinesh C., Byrareddy, Vivekananda, Adamowski, Jan F., Mushtaq, Shahbaz and Nguyen, Van Phuong. 2018. "Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties." Computers and Electronics in Agriculture. 155, pp. 324-338. https://doi.org/10.1016/j.compag.2018.10.014An intelligent recommender system based on short-term disease risk prediction for patients with chronic diseases in a telehealth environment
Lafta, Raid Luaibi. 2018. An intelligent recommender system based on short-term disease risk prediction for patients with chronic diseases in a telehealth environment . PhD Thesis Doctor of Philosophy. University of Southern Queensland.Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity
Ghorbani, Mohammad Ali, Deo, Ravinesh C., Kashani, Mahsa H., Shahabi, Mahmoud and Ghorbani, Shahryar. 2019. "Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity." Soil and Tillage Research. 186, pp. 152-164. https://doi.org/10.1016/j.still.2018.09.012Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation
Deo, Ravinesh C., Adamowski, Jan F., Begum, Khaleda, Salcedo-sanz, Sancho, Kim, Do-Woo, Dayal, Kavina S. and Byun, Hi-Ryong. 2019. "Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation." Theoretical and Applied Climatology. 137, pp. 1201-1215. https://doi.org/10.1007/s00704-018-2657-4Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: a new approach
Yaseen, Zaheer Munder, Tran, Minh Tung, Kim, Sungwon, Bakhshpoori, Taha and Deo, Ravinesh C.. 2018. "Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: a new approach." Engineering Structures. 177, pp. 244-255. https://doi.org/10.1016/j.engstruct.2018.09.074Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation
Deo, Ravinesh C., Downs, Nathan J., Adamowski, Jan F. and Parisi, Alfio V.. 2018. "Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting sub-tropical photosynthetically active radiation." Food and Energy Security. 8 (1). https://doi.org/10.1002/fes3.151Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach." Agricultural and Forest Meteorology. 263, pp. 428-448. https://doi.org/10.1016/j.agrformet.2018.09.002Weekly heat wave death prediction model using zero-inflated regression approach
Kim, Do-Woo, Deo, Ravinesh C., Park, Sang-Jin, Lee, Jong-Seol and Lee, Woo-Seop. 2019. "Weekly heat wave death prediction model using zero-inflated regression approach." Theoretical and Applied Climatology. 137 (1-2), pp. 823-838. https://doi.org/10.1007/s00704-018-2636-9A comparative study of temperature and precipitation‑based aridity indices and their trends in Mongolia
Nyamtseren, Mandakh, Feng, Qi and Deo, Ravinesh C.. 2018. "A comparative study of temperature and precipitation‑based aridity indices and their trends in Mongolia." International Journal of Environmental Research. 12, pp. 887-899. https://doi.org/10.1007/s41742-018-0143-6Can individual land ownership reduce grassland degradation and favor socioeconomic sustainability on the Qinghai-Tibetan Plateau?
Cao, J. J., Holden, N. M., Adamowski, J. F., Deo, R. C., Xu, X. Y. and Feng, Q.. 2018. "Can individual land ownership reduce grassland degradation and favor socioeconomic sustainability on the Qinghai-Tibetan Plateau?" Environmental Science and Policy. 89, pp. 192-197. https://doi.org/10.1016/j.envsci.2018.08.003Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, Kath, Jarrod and Khan, Shahjahan. 2018. "Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management." Weather and Climate Extremes. 21, pp. 76-89. https://doi.org/10.1016/j.wace.2018.07.002Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment
Yin, Zhenliang, Feng, Qi, Wen, Xiaohu, Deo, Ravinesh C., Yang, Linshan, Si, Jianhua and He, Zhibin. 2018. "Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment." Stochastic Environmental Research and Risk Assessment. 32 (9), pp. 2457-2476. https://doi.org/10.1007/s00477-018-1585-2Mapping hypothermia death vulnerability in Korea
Park, Sang-Jin, Kim, Do-Woo, Deo, Ravinesh C. and Lee, Jong-Seol. 2018. "Mapping hypothermia death vulnerability in Korea." International Journal of Disaster Risk Reduction. 31, pp. 668-678. https://doi.org/10.1016/j.ijdrr.2018.06.016Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting." Computers and Electronics in Agriculture. 152, pp. 149-165. https://doi.org/10.1016/j.compag.2018.07.013A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea
Deo, Ravinesh C., Byun, Hi-Ryong, Kim, Ga-Byn and Adamowski, Jan F.. 2018. "A real-time hourly water index for flood risk monitoring: pilot studies in Brisbane, Australia, and Dobong Observatory, South Korea." Environmental Monitoring and Assessment. 190 (450). https://doi.org/10.1007/s10661-018-6806-0Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting." Atmospheric Research. 213, pp. 450-464. https://doi.org/10.1016/j.atmosres.2018.07.005Influence of stand type and stand age on soil carbon storage in China’s arid and semi-arid regions
Cao, Jianjun, Zhang, Xiaofang, Deo, Ravinesh, Gong, Yifan and Feng, Qi. 2018. "Influence of stand type and stand age on soil carbon storage in China’s arid and semi-arid regions." Land Use Policy: the international journal covering all aspects of land use. 78, pp. 258-265. https://doi.org/10.1016/j.landusepol.2018.07.002Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters
Fijani, Elham, Barzegar, Rahim, Deo, Ravinesh, Tziritis, Evangelos and Konstantinos, Skordas. 2019. "Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters." Science of the Total Environment. 648, pp. 839-853. https://doi.org/10.1016/j.scitotenv.2018.08.221Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model
Deo, Ravinesh C., Ghimire, Sujan, Downs, Nathan J. and Raj, Nawin. 2018. "Optimization of windspeed prediction using an artificial neural network compared with a genetic programming model." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 328-359Hybrid data intelligent models and applications for water level prediction
Yaseen, Zaher Mundher, Deo, Ravinesh C., Ebtehaj, Isa and Bonakdari, Hossein. 2018. "Hybrid data intelligent models and applications for water level prediction." Kim, Dookie, Roy, Sanjiban Sekhar, Länsivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 121-139Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models
McCarthy, Elizabeth, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models." Kim, Dookie, Roy, Sanjiban Sekhar, Lansivaara, Tim, Deo, Ravinesh C. and Samui, Pijush (ed.) Handbook of research on predictive modeling and optimization methods in science and engineering. Hershey, United States. IGI Global. pp. 446-464Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors
Sanikhani, Hadi, Deo, Ravinesh C., Samui, Pijush, Kisi, Ozgur, Mert, Chian, Mirabbasi, Rasoul, Gavili, Siavash and Yaseen, Zaher Mundher. 2018. "Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors." Computers and Electronics in Agriculture. 152, pp. 242-260. https://doi.org/10.1016/j.compag.2018.07.008Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition." Geoderma. 330, pp. 136-161. https://doi.org/10.1016/j.geoderma.2018.05.035Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, An-Vo, Duc-Anh and Khan, Shahjahan. 2018. "Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach." European Journal of Agronomy. 98, pp. 65-81. https://doi.org/10.1016/j.eja.2018.05.006Non-tuned data intelligent model for soil temperature estimation: a new approach
Sanikhani, Hadi, Deo, Ravinesh C., Yaseen, Zaher Mundheer, Eray, Okan and Kisi, Ozgur. 2018. "Non-tuned data intelligent model for soil temperature estimation: a new approach." Geoderma. 330, pp. 52-64. https://doi.org/10.1016/j.geoderma.2018.05.030Mining drug properties for decision support in dental clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2017. "Mining drug properties for decision support in dental clinics." Kim, J., Shim, K., Cao, L., Lee, J., Lin, X. and Moon, Y. (ed.) 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017). Jeju, South Korea 23 - 26 May 2017 Germany. Springer. https://doi.org/10.1007/978-3-319-57529-2_30Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models
Deo, Ravinesh C., Salcedo-sanz, Sancho, Carro-Calvo, Leopoldo and Saavedra-Moreno, Beatriz. 2018. "Drought prediction with standardized precipitation and evapotranspiration index and support vector regression models." Samui, Pijush, Kim, Dookie and Ghosh, Chandan (ed.) Integrating disaster science and management. Amsterdam, Netherlands. Elsevier. pp. 151-174Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia
Dayal, Kavina, Deo, Ravinesh and Apan, Armando A.. 2017. "Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia." Filho, Walter Leal (ed.) Climate change adaptation in Pacific countries:fostering resilience and improving the quality of life. Springer. pp. 177-198Preface - Proceedings of the 2017 IEEE/WIC/ACM international conference on web intelligence
Alt, Rainer, Tao, Xiaohui and Unland, Rainer. 2017. "Preface - Proceedings of the 2017 IEEE/WIC/ACM international conference on web intelligence." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States.Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
Mouatadid, Soukayna, Raj, Nawin, Deo, Ravinesh C. and Adamowski, Jan F.. 2018. "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region." Atmospheric Research. 212, pp. 130-149. https://doi.org/10.1016/j.atmosres.2018.05.012Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises
McCarthy, E., Deo, R. C., Li, Y. and Maraseni, T.. 2017. "Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises." Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (ed.) 22nd International Congress on Modelling and Simulation (MODSIM2017). Hobart, Australia 03 - 08 Dec 2017 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2017.L1.mccarthyCoupling topic modelling in opinion mining for social media analysis
Zhou, Xujuan, Tao, Xiaohui, Rahman, Md Mostafijur and Zhang, Ji. 2017. "Coupling topic modelling in opinion mining for social media analysis." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States. https://doi.org/10.1145/3106426.3106459A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Abbas, Wessam, Luo, Yonglong, Chen, Fulong and Tseng, Vincent S.. 2017. "A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset." Kim, Jinho, Shim, Kyuseok, Cao, Longbing, Lee, Jae-Gil, Lin, Xuemin and Moon, Yang-Sae (ed.) 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017). Jeju, South Korea 23 - 26 May 2017 Switzerland. Springer. https://doi.org/10.1007/978-3-319-57454-7_51Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
Ghimire, Sujan, Deo, Ravinesh C., Downs, Nathan J. and Raj, Nawin. 2018. "Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities." Remote Sensing of Environment: an interdisciplinary journal. 212, pp. 176-198. https://doi.org/10.1016/j.rse.2018.05.003An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index." Atmospheric Research. 207, pp. 155-180. https://doi.org/10.1016/j.atmosres.2018.02.024Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China
Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Wu, Min and Si, Jianhua. 2017. "Wavelet analysis–artificial neural network conjunction models for multi-scale monthly groundwater level predicting in an arid inland river basin, northwestern China." Hydrology Research: an international journal. 48 (6), pp. 1710-1729. https://doi.org/10.2166/nh.2016.396Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2018. "Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors." Soil and Tillage Research. 181, pp. 63-81. https://doi.org/10.1016/j.still.2018.03.021Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau
Cao, Jianjun, Li, Mengtian, Deo, Ravinesh C., Adamowski, Jan F, Cerda, Artemi, Feng, Qi, Liu, Minxia, Zhang, Jian, Zhu, Guofeng, Zhang, Xuebin, Xu, Xueyun, Yang, Shurong and Gong, Yifan. 2018. "Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau." Land Use Policy: the international journal covering all aspects of land use. 74, pp. 88-96. https://doi.org/10.1016/j.landusepol.2017.07.027Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Spatio-temporal drought risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia." Natural Hazards. 93 (2), pp. 823-847. https://doi.org/10.1007/s11069-018-3326-8A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm
Rajaee, Taher, Ravansalar, Masoud, Adamowski, Jan F. and Deo, Ravinesh C.. 2018. "A new approach to predict daily pH in rivers based on the 'a trous' redundant wavelet transform algorithm." Water, Air and Soil Pollution: an international journal of environmental pollution. 229 (3). https://doi.org/10.1007/s11270-018-3715-3Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions
Fallah, Seyedeh Narjes, Deo, Ravinesh Chand, Shojafar, Mohammad, Conti, Mauro and Shamshirband, Shahaboddin. 2018. "Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions." Energies. 11 (3). https://doi.org/10.3390/en11030596Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting
Al-Musaylh, Mohanad S., Deo, Ravinesh C., Li, Yan and Adamowski, Jan F.. 2018. "Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting." Applied Energy. 217, pp. 422-439. https://doi.org/10.1016/j.apenergy.2018.02.140Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons
Yaseen, Zaher Mundher, Fu, Minglei, Wang, Chen, Mohtar, Wan Hanna Melini Wan, Deo, Ravinesh C. and El-Shafie, Ahmed. 2018. "Application of the hybrid artificial neural network coupled with rolling mechanism and grey model algorithms for streamflow forecasting over multiple time horizons." Water Resources Management. 32 (5), pp. 1883-1899. https://doi.org/10.1007/s11269-018-1909-5Multi-household grazing management pattern maintains better soil fertility
Cao, Jianjun, Xu, Xueyun, Deo, Ravinesh C., Holden, Nicholas M., Adamowski, Jan F., Gong, Yifan, Feng, Qi, Yang, Shurong, Li, Mengtian, Zhou, Junju, Zhang, Jian and Liu, Minxia. 2018. "Multi-household grazing management pattern maintains better soil fertility." Agronomy for Sustainable Development: sciences des productions vegetales et de l'environnement. 38 (1). https://doi.org/10.1007/s13593-017-0482-2Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
Al-Musaylh, Mohanad S., Deo, Ravinesh C., Adamowski, Jan F. and Li, Yan. 2018. "Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia." Advanced Engineering Informatics: the science of supporting knowledge-intensive activities. 35 (C), pp. 1-16. https://doi.org/10.1016/j.aei.2017.11.002Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms
Barzegar, Rahim, Moghaddam, Asghar Asghari, Deo, Ravinesh, Fijani, Elham and Tziritis, Evangelos. 2018. "Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms." Science of the Total Environment. 621, pp. 697-712. https://doi.org/10.1016/j.scitotenv.2017.11.185Investigating drought duration-severity-intensity characteristics using the Standardized Precipitation-Evapotranspiration Index: case studies in drought-prone Southeast Queensland
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2018. "Investigating drought duration-severity-intensity characteristics using the Standardized Precipitation-Evapotranspiration Index: case studies in drought-prone Southeast Queensland." Journal of Hydrologic Engineering. 23 (1), p. 05017029. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001593An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia
Salcedo-sanz, Sancho, Deo, Ravinesh C., Cornejo-Bueno, Laura, Camacho-Gomez, Carlos and Ghimire, Sujan. 2018. "An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia." Applied Energy. 209, pp. 79-94. https://doi.org/10.1016/j.apenergy.2017.10.076Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data
Deo, Ravinesh C., Ghorbani, Mohammad Ali, Samadianfard, Saeed, Maraseni, Tek, Bilgili, Mehmet and Biazar, Mustafa. 2018. "Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data." Renewable Energy. 116 (Part A), pp. 309-323. https://doi.org/10.1016/j.renene.2017.09.078Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, northwest China
Yang, Linshan, Feng, Qi, Yin, Zhenliang, Wen, Xiaohu, Si, Jianhua, Li, Changbin and Deo, Ravinesh C.. 2017. "Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, northwest China." Hydrological Processes. 31 (5), pp. 1100-1112. https://doi.org/10.1002/hyp.11098Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region
Allawi, Mohammed Falah, Jaafar, Othman, Hamzah, Firdaus Mohamad, Mohd, Nuruol Syuhadaa, Deo, Ravinesh C. and El-Shafie, Ahmed. 2018. "Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region." Theoretical and Applied Climatology. 134 (1-2), pp. 545-563. https://doi.org/10.1007/s00704-017-2292-5Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey
Ghorbani, Mohammad Ali, Deo, Ravinesh C., Karimi, Vahid, Yaseen, Zaher Mundher and Terz, Ozlem. 2018. "Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey." Stochastic Environmental Research and Risk Assessment. 32 (6), pp. 1683-1697. https://doi.org/10.1007/s00477-017-1474-0Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
Ghorbani, M. A., Deo, Ravinesh C., Yaseen, Zaher Mundher, Kashani, Mahsa H. and Mohammadi, Babak. 2018. "Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran." Theoretical and Applied Climatology. 133 (3-4), pp. 1119-1131. https://doi.org/10.1007/s00704-017-2244-0Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai–Tibetan Plateau
Cao, J., Gong, Y., Yeh, E. T., Holden, N. M., Adamowski, J. F., Deo, R. C., Liu, M., Zhou, J., Zhang, J., Zhang, S., Sheng, D., Yang, S., Xu, X., Li, M. and Feng, Q.. 2017. "Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai–Tibetan Plateau." Soil Use and Management. 33 (4), pp. 633-671. https://doi.org/10.1111/sum.12387Effects of ecological water transport on photosynthesis and chlorophyll fluorescence of Populus euphratica
Zhao, Chun Yan, Si, Jian Hua, Feng, Qi, Yu, Teng Fei, Deo, Ravinesh C. and Luo, Huan. 2018. "Effects of ecological water transport on photosynthesis and chlorophyll fluorescence of Populus euphratica." Water Science and Technology: Water Supply. 18 (5), pp. 1747-1756. https://doi.org/10.2166/ws.2017.236Trend analysis of Water Poverty Index for assessment of water stress and water management polices: a case study in the Hexi Corridor, China
Huang, Shan, Feng, Qi, Lu, Zhixiang, Wen, Xiaohu and Deo, Ravinesh C.. 2017. "Trend analysis of Water Poverty Index for assessment of water stress and water management polices: a case study in the Hexi Corridor, China." Sustainability. 9 (5), pp. 756-772. https://doi.org/10.3390/su9050756A survey of itemset mining
Fournier-Viger, Philippe, Lin, Jerry Chun-Wei, Vo, Bay, Chi, Tin Truong, Zhang, Ji and Le, Hoai Bac. 2017. "A survey of itemset mining." WIREs Data Mining and Knowledge Discovery. 7 (4). https://doi.org/10.1002/widm.1207Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City
Deo, Ravinesh C. and Samui, Pijush. 2017. "Forecasting evaporative loss by least-square support-vector regression and evaluation with genetic programming, Gaussian process, and minimax probability machine regression: case study of Brisbane City." Journal of Hydrologic Engineering. 22 (6), pp. 1-15. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001506Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901–2010)
Meshram, Sarita Gajbhiye, Singh, Sudhir Kumar, Meshram, Chandrashekhar, Deo, Ravinesh C. and Ambade, Balram. 2018. "Statistical evaluation of rainfall time series in concurrence with agriculture and water resources of Ken River basin, Central India (1901–2010)." Theoretical and Applied Climatology. 134, pp. 1231-1243. https://doi.org/10.1007/s00704-017-2335-yAn international comparison of rice consumption behaviours and greenhouse gas emissions from rice production
Maraseni, Tek Narayan, Deo, Ravinesh C., Qu, Jiansheng, Gentle, Popular and Neupane, Prem Raj. 2018. "An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production." Journal of Cleaner Production. 172, pp. 2288-2300. https://doi.org/10.1016/j.jclepro.2017.11.182Physiological response to salinity stress and tolerance mechanics of Populus euphratica
Zhao, Chun Yan, Si, Jian Hua, Feng, Qi, Deo, Ravinesh C., Yu, Teng Fei and Li, Pei Du. 2017. "Physiological response to salinity stress and tolerance mechanics of Populus euphratica." Environmental Monitoring and Assessment. 189 (11), pp. 533-543. https://doi.org/10.1007/s10661-017-6257-zCarbon dioxide fluxes and their environmental controls in a riparian forest within the hyper-arid region of Northwest China
Ma, Xiaohong, Feng, Qi, Yu, Tengfei, Su, Yonghong and Deo, Ravinesh C.. 2017. "Carbon dioxide fluxes and their environmental controls in a riparian forest within the hyper-arid region of Northwest China." Forests. 8 (10), pp. 1-17. https://doi.org/10.3390/f8100379Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China
Yu, Haijiao, Wen, Xiaohu, Feng, Qi, Deo, Ravinesh C., Si, Jianhua and Wu, Min. 2018. "Comparative study of hybrid-wavelet artificial intelligence models for monthly groundwater depth forecasting in extreme arid regions, Northwest China." Water Resources Management. 32 (1), pp. 301-323. https://doi.org/10.1007/s11269-017-1811-6Predicting compressive strength of lightweight foamed concrete using extreme learning machine model
Yaseen, Zaher Mundher, Deo, Ravinesh C., Hilal, Ameer, Abd, Abbas M., Bueno, Laura Cornejo, Salcedo-sanz, Sancho and Nehdi, Moncef L.. 2018. "Predicting compressive strength of lightweight foamed concrete using extreme learning machine model." Advances in Engineering Software. 115, pp. 112-125. https://doi.org/10.1016/j.advengsoft.2017.09.004Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
Yaseen, Zaher Mundher, Ebtehaj, Isa, Bonakdari, Hossein, Deo, Ravinesh C., Mehr, Ali Danandeh, Mohtar, Wan Hanna Melini Wan, Diop, Lamine, El-Shafie, Ahmed and Singh, Vijay P.. 2017. "Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model." Journal of Hydrology. 554, pp. 263-276. https://doi.org/10.1016/j.jhydrol.2017.09.007Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA
Yaseen, Zaher Mundher, Ghareb, Mazen Ismaeel, Ebtehaj, Isa, Bonakdari, Hossein, Siddique, Ridwan, Heddam, Sali, Yusif, Ali A. and Deo, Ravinesh. 2018. "Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA." Water Resources Management. 32 (1), pp. 105-122. https://doi.org/10.1007/s11269-017-1797-0Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements
Yeom, Jong-Min, Deo, Ravinesh, Chun, Junghwa, Hong, Jinkyu, Kim, Dong-Su, Han, Kyung-Soo and Cho, Jaeil. 2017. "Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements." International Journal of Remote Sensing. 38 (23), pp. 7441-7456. https://doi.org/10.1080/01431161.2017.1375573Separation of the Climatic and Land Cover Impacts on the Flow Regime Changes in Two Watersheds of Northeastern Tibetan Plateau
Yang, Linshan, Feng, Qi, Yin, Zhenliang, Deo, Ravinesh C., Wen, Xiaohu, Si, Jianhua and Li, Changbin. 2017. "Separation of the Climatic and Land Cover Impacts on the Flow Regime Changes in Two Watersheds of Northeastern Tibetan Plateau." Advances in Meteorology. 2017, pp. 1-15. https://doi.org/10.1155/2017/6310401Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment
Zhang, Ji, Lafta, Raid, Tao, Xiaohui, Li, Yan, Chen, Fulong, Luo, Yonglong and Zhu, Xiaodong. 2017. "Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment." IEEE Access. 5 (1), pp. 10674-10685. https://doi.org/10.1109/ACCESS.2017.2706318Changes in climatic elements in the Pan-Hexi region during 1960–2014 and responses to global climatic changes
Wei, Liu, Feng, Qi and Deo, Ravinesh C.. 2018. "Changes in climatic elements in the Pan-Hexi region during 1960–2014 and responses to global climatic changes." Theoretical and Applied Climatology. 133 (1-2), pp. 405-420. https://doi.org/10.1007/s00704-017-2194-6Mapping heatwave vulnerability in Korea
Kim, Do-Woo, Deo, Ravinesh C., Lee, Jong-Seol and Yeom, Jong-Min. 2017. "Mapping heatwave vulnerability in Korea." Natural Hazards. 89 (1), pp. 35-55. https://doi.org/10.1007/s11069-017-2951-yCopula-statistical precipitation forecasting model in Australia’s agro-ecological zones
Nguyen-Huy, Thong, Deo, Ravinesh C., An-Vo, Duc-Anh, Mushtaq, Shahbaz and Khan, Shahjahan. 2017. "Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones." Agricultural Water Management. 191, pp. 153-172. https://doi.org/10.1016/j.agwat.2017.06.010Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm
Prasad, Ramendra, Deo, Ravinesh C., Li, Yan and Maraseni, Tek. 2017. "Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm." Atmospheric Research. 197, pp. 42-63. https://doi.org/10.1016/j.atmosres.2017.06.014Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle
Deo, Ravinesh C., Downs, Nathan, Parisi, Alfio V., Adamowski, Jan F. and Quilty, John M.. 2017. "Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle." Environmental Research. 155, pp. 141-166. https://doi.org/10.1016/j.envres.2017.01.035Association between plant species diversity and edaphic factors in the lower reaches of the Heihe River, northwestern China
Zhao, Yu, Feng, Qi, Xi, Haiyang, Li, Huiya, Yang, Huaide and Deo, Ravinesh C.. 2017. "Association between plant species diversity and edaphic factors in the lower reaches of the Heihe River, northwestern China." Chemistry and Ecology. 33 (3), pp. 181-195. https://doi.org/10.1080/02757540.2017.1287904Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland
Deo, Ravinesh C. and Sahin, Mehmet. 2017. "Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland." Renewable and Sustainable Energy Reviews. 72, pp. 828-848. https://doi.org/10.1016/j.rser.2017.01.114Detecting global outliers from large distributed databases
Zhang, Ji, Cao, Jie and Zhu, Xiaodong. 2012. "Detecting global outliers from large distributed databases." Liu, Yanbing, Yue, Shigang, Leung, Frank H. F., Zhao, Guofeng and Wang, Lipo (ed.) 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012). Chongqing, China 29 - 31 May 2012 Piscataway, NJ. United States. https://doi.org/10.1109/FSKD.2012.6233948Computational intelligence approach for modeling hydrogen production: a review
Faizollahzadeh, Sina, Najafi, Bahman, Shamshirband, Shahaboddin, Bidgoli, Behrouz Minaei, Deo, Ravinesh Chand and Chau, Kwok-wing. 2018. "Computational intelligence approach for modeling hydrogen production: a review." Engineering Applications of Computational Fluid Mechanics. 12 (1), pp. 438-458. https://doi.org/10.1080/19942060.2018.1452296Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq
Yaseen, Zaher Mundher, Jaafar, Othman, Deo, Ravinesh C., Kisi, Ozgur, Adamowski, Jan, Quilty, John and El-Shafie, Ahmed. 2016. "Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq." Journal of Hydrology. 542, pp. 603-614. https://doi.org/10.1016/j.jhydrol.2016.09.035Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea
Kim, Su-Jeong, Byun, Hi-Ryong and Deo, Ravinesh C.. 2016. "Quantitative definition and spatiotemporal distribution of little water season (LIWAS) in Korea." Asia-Pacific Journal of Atmospheric Sciences. 52 (4), pp. 379-393. https://doi.org/10.1007/s13143-016-0012-1Special issue on knowledge management of web social media
Tao, Xiaohui, Huang, Wei, Mu, Xiangming and Xie, Haoran. 2016. "Special issue on knowledge management of web social media ." Web Intelligence. 14 (4), pp. 273-274. https://doi.org/10.3233/WEB-160343Fast local neighborhood search algorithm for the no-wait flow shop scheduling with total flow time minimization
Qi, Xuemei, Wang, Hongtao, Zhu, Haihong, Zhang, Ji, Chen, Fulong and Yang, Jie. 2016. "Fast local neighborhood search algorithm for the no-wait flow shop scheduling with total flow time minimization." International Journal of Production Research. 54 (16), pp. 4957-4972. https://doi.org/10.1080/00207543.2016.1150615An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland
Deo, Ravinesh C. and Sahin, Mehmet. 2016. "An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland." Environmental Monitoring and Assessment. 188 (90). https://doi.org/10.1007/s10661-016-5094-9Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
Deo, Ravinesh C., Tiwari, Mukesh K., Adamowski, Jan F. and Quilty, John M.. 2017. "Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model." Stochastic Environmental Research and Risk Assessment. 31 (5), pp. 1211-1240. https://doi.org/10.1007/s00477-016-1265-zDrought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
Deo, Ravinesh C., Kisi, Ogzur and Singh, Vijay P.. 2017. "Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model." Atmospheric Research. 184, pp. 149-175. https://doi.org/10.1016/j.atmosres.2016.10.004A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
Deo, Ravinesh C., Wen, Xiaohu and Feng, Qi. 2016. "A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset." Applied Energy. 168, pp. 568-593. https://doi.org/10.1016/j.apenergy.2016.01.130GO-PEAS: a scalable yet accurate grid-based outlier detection method using novel pruning searching techniques
Li, Hongzhou, Zhang, Ji, Luo, Yonglong, Chen, Fulong and Chang, Liang. 2016. "GO-PEAS: a scalable yet accurate grid-based outlier detection method using novel pruning searching techniques." Ray, T., Sarker, R. and Li, X. (ed.) 2nd Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016). Canberra, Australia 02 - 05 Feb 2016 Switzerland. Springer. https://doi.org/10.1007/978-3-319-28270-1_11Settlement analyses of underground circular tunneling in soft clay
Shiau, J. S., Sams, M. S., Zhang, J. and Kemp, R. J.. 2014. "Settlement analyses of underground circular tunneling in soft clay." Yoo, Chungsik, Park, Seong-Wan, Kim, Bumjoo and Ban, Hoki (ed.) 8th International Symposium on Geotechnical Aspects of Underground Construction in Soft Ground (TC204 ISSMGE IS-SEOUL 2014). Seoul, Korea 25 - 27 Aug 2014 Netherlands. https://doi.org/10.1201/b17240-63Automatic Text Summarization Using Fuzzy Inference
Jafari, Mehdi, Shahabi, Amir Shahab, Wang, Jing, Qin, Yongrui, Tao, Xiaohui and Gheisari, Mehdi. 2016. "Automatic Text Summarization Using Fuzzy Inference." 22nd IEEE International Conference on Automation and Computing (ICAC 2016). Colchester, United Kingdom 07 - 08 Sep 2016 United States. https://doi.org/10.1109/IConAC.2016.7604928IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan and Tseng, Vincent S.. 2016. "IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment." Li, Jinyan, Li, Xue, Wang, Shuliang, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_58Positive Influence Dominating Set Games
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui, Zhang, Ji, Yi, Xun and Yong, Jianming. 2014. "Positive Influence Dominating Set Games." Hou, Jiang-Liang, Trappey, Amy J. C., Wu, Chien-Wei, Chang, Kuo-Hao, Liao, Chuing-Shou, Shen, Wei-Ming, Barthes, Jean-Paul and Luo, Jun-Zhou (ed.) 18th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2014). Hsinchu, Taiwan 21 - 23 May 2014 United States. https://doi.org/10.1109/CSCWD.2014.6846890Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index
Dayal, Kavina S., Deo, Ravinesh C. and Apan, Armando A.. 2016. "Application of hybrid artificial neural network algorithm for the prediction of Standardized Precipitation Index." 2016 IEEE Region 10 International Conference: Technologies for Smart Nation (TENCON 2016). Singapore 22 - 25 Nov 2016 Singapore. https://doi.org/10.1109/TENCON.2016.7848588PFrauDetector: a parallelized graph mining approach for efficient fraudulent phone call detection
Ying, Josh Jia-Ching, Zhang, Ji, Huang, Che-Wei, Chen, Kuan-Ta and Tseng, Vincent S.. 2016. "PFrauDetector: a parallelized graph mining approach for efficient fraudulent phone call detection." 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS 2016). Wuhan, China 13 - 16 Dec 2016 United States. https://doi.org/10.1109/ICPADS.2016.0140NSSSD: a new semantic hierarchical storage for sensor data
Gheisari, Mehdi, Movassagh, Ali Akbar, Qin, Yongrui, Yong, Jianming, Tao, Xiaohui, Zhang, Ji and Shen, Haifeng. 2016. "NSSSD: a new semantic hierarchical storage for sensor data." 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016). Nanchang, China 04 - 06 May 2016 United States. https://doi.org/10.1109/CSCWD.2016.7565984Adopting hybrid descriptors to recognise leaf images for automatic plant specie identification
Al-kharaz, Ali A., Tao, Xiaohui, Zhang, Ji and Lafta, Raid. 2016. "Adopting hybrid descriptors to recognise leaf images for automatic plant specie identification." Li, Jinyan, Li, Xue, Wang, Shuliang, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_15Sentiment analysis for depression detection on social networks
Tao, Xiaohui, Zhou, Xujuan, Zhang, Ji and Yong, Jianming. 2016. "Sentiment analysis for depression detection on social networks." Li, Jinyan, Li, Xue, Wang, Xue, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_59Anonymity-based privacy preserving network data publication
Liu, Peng, Li, Yidong, Sang, Yingpeng and Zhang, Ji. 2016. "Anonymity-based privacy preserving network data publication." 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2016). Tianjin, China 23 - 26 Aug 2016 Los Alamitos, CA. United States. https://doi.org/10.1109/TrustCom.2016.0144Multi-level big data content services for mental health care
Chen, Jianhui, Han, Jian, Deng, Yue, Zhong, Han, Wang, Ningning, Li, Youjun, Wan, Zhijiang, Kotake, Taihei, Wang, Dongsheng, Tao, Xiaohui and Zhong, Ning. 2016. "Multi-level big data content services for mental health care." Zhong, Ning, Ma, Jianhua, Liu, Jiming, Huang, Runhe and Tao, Xiaohui (ed.) Wisdom web of things, Part II. Switzerland. Springer. pp. 155-180Wisdom web of things
Zhong, Ning, Ma, Jianhua, Liu, Jiming, Huang, Runhe and Tao, Xiaohui. 2016. Wisdom web of things. Switzerland. Springer.Factors to be considered in Cloud computing adoption
Ali, Omar, Soar, Jeffrey, Yong, Jianming and Tao, Xiaohui. 2016. "Factors to be considered in Cloud computing adoption." Web Intelligence. 14 (4), pp. 309-323. https://doi.org/10.3233/WEB-160347An intelligent recommender system based on predictive analysis in telehealthcare environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Tseng, Vincent S., Luo, Yonglong and Chen, Fulong. 2016. "An intelligent recommender system based on predictive analysis in telehealthcare environment." Web Intelligence. 14 (4), pp. 325-336. https://doi.org/10.3233/WEB-160348Information fusion with subject-based information gathering method for intelligent multi-agent models
Tao, Xiaohui, King, John and Li, Yuefeng. 2005. "Information fusion with subject-based information gathering method for intelligent multi-agent models." 7th International Conference on Information Integration and Web-based Applications and Services (iiWAS 2005). Kuala Lumpur, Malaysia 19 - 21 Sep 2005Associate a user's goal: exhaustivity and specificity information retrieval using ontology
Tao, Xiaohui. 2006. "Associate a user's goal: exhaustivity and specificity information retrieval using ontology." Li, Yuefeng, Looi, Mark and Zhong, Ning (ed.) 2006 Conference on Advances in Intelligent IT: Active Media Technology. Brisbane, Australia 07 - 09 Jun 2006 Amsterdam, Netherlands.Ontology mining for personalized web information gathering
Tao, Xiaohui, Li, Yuefeng, Zhong, Ning and Nayak, Richi. 2007. "Ontology mining for personalized web information gathering." Lin, T. Y. and Haas, Laura (ed.) 2007 IEEE/WIC/ACM International Conference on Web Intelligence. Fremont, United States of America 02 - 05 Nov 2007 Los Alamitos, CA. United States. https://doi.org/10.1109/WI.2007.88Mining specific and general features in both positive and negative relevance feedback
Li, Yuefeng, Tao, Xiaohui, Algarni, Abdulmohsen and Wu, Sheng-Tang. 2009. "Mining specific and general features in both positive and negative relevance feedback." Voorhees, Ellen M. and Buckland, Lori P. (ed.) TREC 2009: 18th Text REtrieval Conference. Gaithersburg, United States 17 - 20 Nov 2009 Gaithersburg, MD. United States.An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan and Tseng, Vincent S.. 2015. "An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients." 4th International Workshop on Web Personalization, Recommender Systems and Social Media (WPRSM2015), Joint with WI-IAT 2015. Singapore 06 - 09 Dec 2015 Singapore. https://doi.org/10.1109/WI-IAT.2015.47Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria
Mouatadid, Soukayna, Deo, Ravinesh C. and Adamowski, Jan F.. 2015. "Prediction of SPEI using MLR and ANN: a case study for Wilsons Promontory Station in Victoria." Guerrero, Juan E. (ed.) 2015 IEEE 14th International Conference on Machine Learning and Applications. Miami, United States of America 09 - 11 Dec 2015 United States. https://doi.org/10.1109/ICMLA.2015.87Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India
Shukla, Rituraj, Deo, Ravinesh and Khare, Deepak. 2015. "Statistical downscaling of climate change scenarios of rainfall and temperature over Indira Sagar Canal Command area in Madhya Pradesh, India." Guerrero, Juan E. (ed.) 2015 IEEE 14th International Conference on Machine Learning and Applications. Miami, United States of America 09 - 11 Dec 2015 USA. https://doi.org/10.1109/ICMLA.2015.75A study of drug interaction for personalised decision support in dental clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2015. "A study of drug interaction for personalised decision support in dental clinics." 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015). Singapore 06 - 09 Dec 2015 https://doi.org/10.1109/WI-IAT.2015.28Efficient Algorithms for Scheduling XML Data in a Mobile Wireless Broadcast Environment
Qin, Yongrui, Wang, Hua, Zhang, Ji, Tao, Xiaohui, Zhang, Wei Emma, Taylor, Kerry and Sheng, Quan Z.. 2015. "Efficient Algorithms for Scheduling XML Data in a Mobile Wireless Broadcast Environment." 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS 2015). Melbourne, Australia 14 - 17 Dec 2015 Australia. https://doi.org/10.1109/ICPADS.2015.96Decision support systems for adoption in dental clinics: a survey
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2016. "Decision support systems for adoption in dental clinics: a survey." Knowledge-Based Systems. 104, pp. 195-206. https://doi.org/10.1016/j.knosys.2016.04.022Automatic construction of domain-specific sentiment lexicon for context sensitive opinion retrieval
Lau, Raymond Y. K., Zhang, Wenping and Tao, Xiaohui. 2012. "Automatic construction of domain-specific sentiment lexicon for context sensitive opinion retrieval." Zhou, Yanqun (ed.) 4th IEEE International Conference on Computer Science and Information Technology (ICCSIT 2011). Chengdu, China 10 - 12 Jun 2011 Singapore. https://doi.org/10.7763/IPCSITMonthly prediction of air temperature in Australia and New Zealand with machine learning algorithms
Salcedo-sanz, S., Deo, R. C., Carro-Calvo, L. and Saavedra-Moreno, B.. 2016. "Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms." Theoretical and Applied Climatology. 125 (1-2), pp. 13-25. https://doi.org/10.1007/s00704-015-1480-4Projection of heat wave mortality related to climate change in Korea
Kim, Do-Woo, Deo, Ravinesh C., Chung, Jea-Hak and Lee, Jong-Seol. 2016. "Projection of heat wave mortality related to climate change in Korea." Natural Hazards. 80 (1), pp. 623-637. https://doi.org/10.1007/s11069-015-1987-0Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models
Deo, Ravinesh C., Samui, Pijush and Kim, Dookie. 2016. "Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models." Stochastic Environmental Research and Risk Assessment. 30 (6), pp. 1769-1784. https://doi.org/10.1007/s00477-015-1153-yNumerical modelling of the velocity field of a plane jet flow at moderate jet exit Reynolds numbers
Mossad, Ruth and Deo, Ravinesh C.. 2015. "Numerical modelling of the velocity field of a plane jet flow at moderate jet exit Reynolds numbers." Solnordal, C. B., Liovic, P., Delaney, G. W., Cummins, S. J., Schwarz, M. P. and Witt, P. J. (ed.) 11th International Conference on CFD in the Minerals and Process Industries. Melbourne, Australia 07 - 09 Dec 2015 Melbourne, Australia.A standardized design methodology for complex digital logic components of cyber-physical systems
Chen, F., Ye, H., Yang, J., Huang, Y., Zhang, J., Qi, X., Zhao, C., Zhu, J. and Zhou, W.. 2015. "A standardized design methodology for complex digital logic components of cyber-physical systems." Microprocessors and Microsystems. 39 (8), pp. 1245-1254. https://doi.org/10.1016/j.micpro.2015.08.012Explore interregional EEG correlations changed by sport training using feature selection
Gao, Jia, Wang, Wei and Zhang, Ji. 2016. "Explore interregional EEG correlations changed by sport training using feature selection." Computational Intelligence and Neuroscience. 2016. https://doi.org/10.1155/2016/6184823On efficient and robust anonymization for privacy protection on massive streaming categorical information
Zhang, Ji, Li, Hongzhou, Liu, Xuemei, Luo, Yonglong, Chen, Fulong, Wang, Hua and Chang, Liang. 2017. "On efficient and robust anonymization for privacy protection on massive streaming categorical information." IEEE Transactions on Dependable and Secure Computing. 14 (5), pp. 507-520. https://doi.org/10.1109/TDSC.2015.2483503On the new concept of the available water climatology and its application
Byun, H. R., Kim, D. W., Choi, K. S., Deo, R. C., Lee, S. M., Park, C. K., Kwon, S. H., Kim, G. B. and Kwon, H. N.. 2014. "On the new concept of the available water climatology and its application." American Geophysical Union, Fall Meeting 2014. San Francisco, United States 15 - 19 Dec 2014 San Francisco, USA.A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events
Deo, Ravinesh C., Byun, Hi-Ryong, Adamowski, Jan F. and Kim, Do-Woo. 2015. "A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events." Water Resources Management. 29 (11), pp. 4075-4093. https://doi.org/10.1007/s11269-015-1046-3Finding weighted positive influence dominating set to make impact to negatives: a study on online social networks in the new millennium
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2014. "Finding weighted positive influence dominating set to make impact to negatives: a study on online social networks in the new millennium." Kaur, Harleen and Tao, Xiaohui (ed.) ICTs and the millennium development goals: a United Nations perspective. New York, NY. United States. Springer. pp. 67-81Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia
Deo, Ravinesh C. and Sahin, Mehmet. 2015. "Application of the artificial neural network model for prediction of monthly standardized precipitation and evapotranspiration index using hydrometeorological parameters and climate indices in eastern Australia." Atmospheric Research. 161-162, pp. 65-81. https://doi.org/10.1016/j.atmosres.2015.03.018A novel artificial immune algorithm for spatial clustering with obstacle constraint and its applications
Sun, Liping, Luo, Yonglong, Ding, Xintao and Zhang, Ji. 2014. "A novel artificial immune algorithm for spatial clustering with obstacle constraint and its applications." Computational Intelligence and Neuroscience. 2014. https://doi.org/10.1155/2014/160730A dynamic subspace anomaly detection method using generic algorithm for streaming network data
Zhang, Ji and Li, Hongzhou. 2015. "A dynamic subspace anomaly detection method using generic algorithm for streaming network data." Gupta, Manish (ed.) Handbook of research on emerging developments in data privacy. Hershey, PA. United States. IGI Global. pp. 403-425Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation
Deo, R. C., Byun, H. R., Adamowski, J. F. and Kim, D. W.. 2014. "Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation." International Conference on Analysis and Management of Changing Risks for Natural Hazards (2014). Padua, Italy Padua, Italy.Detecting anomalies from big network traffic data using an adaptive detection approach
Zhang, Ji, Li, Hongzhou, Gao, Qigang, Wang, Hai and Luo, Yonglong. 2015. "Detecting anomalies from big network traffic data using an adaptive detection approach." Information Sciences. 318, pp. 91-110. https://doi.org/10.1016/j.ins.2014.07.044A knowledge retrieval model using ontology mining and user profiling
Tao, Xiaohui, Li, Yuefeng and Nayak, Richi. 2008. "A knowledge retrieval model using ontology mining and user profiling." Integrated Computer Aided Engineering. 15 (4), pp. 313-329. https://doi.org/10.3233/ICA-2008-15404Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia
Deo, Ravinesh C. and Sahin, Mehmet. 2015. "Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia." Atmospheric Research. 153, pp. 512-525. https://doi.org/10.1016/j.atmosres.2014.10.016Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea
Park, Chang-Kyun, Byun, Hi-Ryong, Deo, Ravinesh and Lee, Bo-Ra. 2015. "Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea." Journal of Hydrology. 526, pp. 221-230. https://doi.org/10.1016/j.jhydrol.2014.10.043Text mining in microblogs for real time topic and event monitoring
Lau, Cher H., Tjondronegoro, Dian, Li, Yuefeng, Xu, Yue and Tao, Xiaohui. 2010. "Text mining in microblogs for real time topic and event monitoring." Hess, Barry and Christensen, Clayton M. (ed.) SC10 Early Adopters PhD Workshop: Building the Next Generation of Application Scientists (held during the International Conference for High Performance Computing, Networking, Storage, and Analysis 2010). New Orleans, United States 15 Nov 2010 Washington, DC. United States.Ontology mining for personalized search
Li, Yuefeng and Tao, Xiaohui. 2009. "Ontology mining for personalized search." Cao, Longbing, Yu, Philip S., Zhang, Chengqi and Zhang, Huaifeng (ed.) Data mining for business applications. New York, NY. United States. Springer. pp. 63-78Effective pattern taxonomy mining in text documents
Li, Yuefeng, Wu, Sheng-Tang and Tao, Xiaohui. 2008. "Effective pattern taxonomy mining in text documents." Shanahan, James G., Amer-Yahia, Sihem, Zhang, Yi and Kolcz, Alek (ed.) CIKM 2008: ACM 17th Conference on Information and Knowledge Management. Napa Valley, United States 26 - 30 Oct 2008 New York, NY. USA. https://doi.org/10.1145/1458082.1458360An ontology-based framework for knowledge retrieval
Tao, Xiaohui, Li, Yuefeng, Zhong, Ning and Nayak, Richi. 2008. "An ontology-based framework for knowledge retrieval." Jain, Lakhmi, Lingras, Pawan, Klusch, Matthias and Lu, Jie (ed.) 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2008). Sydney, Australia 09 - 12 Dec 2008 Los Alamitos, CA. USA. https://doi.org/10.1109/WIIAT.2008.226Influence of sidewalls on the centerline small-scale turbulence of a turbulent high-aspect-ratio rectangular jet
Liu, Y., Zhang, J., Deo, R., Mi, J., Nathan, G. J. and Zhu, R.. 2014. "Influence of sidewalls on the centerline small-scale turbulence of a turbulent high-aspect-ratio rectangular jet." Experimental Thermal and Fluid Science. 58, pp. 139-144. https://doi.org/10.1016/j.expthermflusci.2014.06.021Energy effective congestion control for multicast with network coding in wireless ad hoc network
Zhao, Chuanxin, Luo, Yonglong, Chen, Fulong, Zhang, Ji and Wang, Ruchuan. 2014. "Energy effective congestion control for multicast with network coding in wireless ad hoc network." Mathematical Problems in Engineering. https://doi.org/10.1155/2014/135945Telemedicine and Telemonitoring in Healthcare
Alsgaer, Salmah F. A., Tao, Xiaohui, Zhang, Ji, Wang, Hua and Guo, Zhi. 2013. "Telemedicine and Telemonitoring in Healthcare." Imamura, Kazayuki, Usui, Shiro and Shirao, Tomoaki (ed.) 2013 International Conference on Brain and Health Informatics (BHI 2013). Maebashi, Japan 29 - 31 Oct 2013 Germany. https://doi.org/10.1007/978-3-319-02753-1_20SIMS: Self-adaptive Intelligent Monitoring System for supporting home-based heart failure patients
Wang, Hua, Zhang, Ji, Soar, Jeffrey, Tao, Xiaohui and Huang, Wei. 2013. "SIMS: Self-adaptive Intelligent Monitoring System for supporting home-based heart failure patients." Biswas, Jit, Kobayashi, Hisato, Wong, Lawrence, Abdulrazak, Bessam and Mokhtari, Mounir (ed.) 11th International Conference on Smart Homes and Health Telematics (ICOST 2013): Inclusive Society: Health and Wellbeing in Ageing-Friendly Community: eHealth, Telemedicine, Chronic Disease Management and Care at Home. Singapore 19 - 21 Jun 2013 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-39470-6_43Minimising k-dominating set in arbitrary network graphs
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui, Zhang, Ji and Zhang, Jinhua. 2013. "Minimising k-dominating set in arbitrary network graphs." Motoda, Hiroshi, Wu, Zhaohui, Cao, Longbing, Zaiane, Osmar, Yao, Min and Wang, Wei (ed.) 9th International Conference on Advanced Data Mining and Applications (ADMA 2013). Hangzhou, China 14 - 16 Dec 2013 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-53917-6_11An efficient and robust privacy protection technique for massive streaming choice-based information
Zhang, Ji, Liu, Xuemei and Luo, Yonglong. 2013. "An efficient and robust privacy protection technique for massive streaming choice-based information." He, Qi and Iyengar, Arun (ed.) 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013). San Francisco, United States 27 Oct - 01 Nov 2013 New York, NY. United States. https://doi.org/10.1145/2505515.2507816SODIT: An innovative system for outlier detection using multiple localized thresholding and interactive feedback
Zhang, Ji, Wang, Hua, Tao, Xiaohui and Sun, Lili. 2013. "SODIT: An innovative system for outlier detection using multiple localized thresholding and interactive feedback." 29th IEEE International Conference on Data Engineering (ICDE 2013). Brisbane, Australia 08 - 11 Apr 2013 Piscataway, NJ. United States. https://doi.org/10.1109/ICDE.2013.6544945Finding a weighted positive influence dominating set in e-learning social networks
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui, Zhang, Ji and Zhu, Guohun. 2013. "Finding a weighted positive influence dominating set in e-learning social networks." International Journal of Computers and Technology. 10 (10), pp. 2136-2145.A self-stabilizing algorithm for finding a minimal positive influence dominating set in social networks
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2013. "A self-stabilizing algorithm for finding a minimal positive influence dominating set in social networks." Wang, Hua and Zhang, Rui (ed.) 24th Australasian Database Conference (ADC 2013). Adelaide, Australia 29 Jan - 01 Feb 2013 Sydney, Australia.Mapping semantic knowledge for unsupervised text categorisation
Tao, Xiaohui, Li, Yuefeng, Zhang, Ji and Yong, Jianming. 2013. "Mapping semantic knowledge for unsupervised text categorisation." Wang, Hua and Rui, Zhang (ed.) 24th Australasian Database Conference (ADC 2013). Adelaide, Australia 29 Jan - 01 Feb 2013 Sydney, Australia.Outlier detection from large distributed databases
Zhang, Ji, Wang, Hua and Tao, Xiaohui. 2014. "Outlier detection from large distributed databases." World Wide Web. 17 (4), pp. 539-568. https://doi.org/10.1007/s11280-013-0218-4Sentiment Analysis on Tweets for Social Events
Zhou, Xujuan, Tao, Xiaohui, Yong, Jianming and Yang, Zhenyu. 2013. "Sentiment Analysis on Tweets for Social Events." Shen, Weiming, Li, Weidong, Barthes, Jean-Paul, Luo, Junzhou, Zhu, Haibin, Yong, Jianming and Li, Xiaoping (ed.) IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013). Whistler, Canada 27 - 29 Jun 2013 United States. https://doi.org/10.1109/CSCWD.2013.6581022A Self-Stabilizing Protocol for Minimal Weighted Dominating Sets in Arbitrary Networks
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2013. "A Self-Stabilizing Protocol for Minimal Weighted Dominating Sets in Arbitrary Networks." Shen, Weiming, Li, Weidong, Barthes, Jean-Paul, Luo, Junzhou, Zhu, Haibin, Yong, Jianming and Li, Xiaoping (ed.) IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013). Whistler, Canada 27 - 29 Jun 2013 United States. https://doi.org/10.1109/CSCWD.2013.6581012Comparative analysis of turbulent plane jets from a sharp-edged orifice, a beveled-edge orifice and a radially contoured nozzle
Deo, Ravinesh C.. 2013. "Comparative analysis of turbulent plane jets from a sharp-edged orifice, a beveled-edge orifice and a radially contoured nozzle." International Journal of Mechanical, Industrial Science and Engineering. 7 (12), pp. 1471-1480.The role of nozzle-exit conditions on the flow field of a plane jet
Deo, Ravinesh C.. 2013. "The role of nozzle-exit conditions on the flow field of a plane jet." International Journal of Mechanical, Industrial Science and Engineering. 7 (12), pp. 1059-1069.Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers
Deo, Ravinesh C., Nathan, Graham J. and Mi, Jianchun. 2013. "Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers." Physics of Fluids. 25 (1). https://doi.org/10.1063/1.4776782Advancements of outlier detection: a survey
Zhang, Ji. 2013. "Advancements of outlier detection: a survey." ICST Transactions on Scalable Information Systems. 13 (1), pp. 1-26. https://doi.org/10.4108/trans.sis.2013.01-03.e2An innovative outlier detection method using localized thresholds
Zhang, Ji, Cao, Jie and Zhu, Xiaodong. 2012. "An innovative outlier detection method using localized thresholds." Data and Knowledge Engineering. https://doi.org/10.1007/978-3-642-34679-8-7Semantic labelling for document feature patterns using ontological subjects
Tao, Xiaohui, Li, Yuefeng, Liu, Bin and Shen, Yan. 2012. "Semantic labelling for document feature patterns using ontological subjects." Zhong, Ning and Gong, Zhiguo (ed.) 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2012). Macau, China 04 - 07 Dec 2012 Los Alamitos, CA. United States. https://doi.org/10.1109/WI-IAT.2012.47Efficient and effective filtering of duplication detection in large database applications
Zhang, Ji. 2012. "Efficient and effective filtering of duplication detection in large database applications." Journal of Software. 7 (11), pp. 2424-2436. https://doi.org/10.4304/jsw.7.11.2424-2436Unsupervised multi-label text classification using a world knowledge ontology
Tao, Xiaohui, Li, Yuefeng, Lau, Raymond Y. K. and Wang, Hua. 2012. "Unsupervised multi-label text classification using a world knowledge ontology." Tan, Pang-Ning, Chawla, Sanjay, Ho, Chin Kuan and Bailey, James (ed.) 16th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD 2012). Kuala Lumpur, Malaysia 29 May - 01 Jun 2012 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-30217-6_40Matching relevance features with ontological concepts
Shen, Yan, Li, Yuefeng, Xu, Yue and Tao, Xiaohui. 2012. "Matching relevance features with ontological concepts." 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WPRS 2012). Macau, China 04 - 07 Dec 2012 Los Alamitos, CA. United States. https://doi.org/10.1109/WI-IAT.2012.194A self-stabilizing algorithm for finding a minimal K-dominating set in general networks
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2012. "A self-stabilizing algorithm for finding a minimal K-dominating set in general networks." Xiang, Yang, Pathan, Mukaddim, Tao, Xiaohui and Wan g, Hua (ed.) 3rd International Conference on Data and Knowledge Engineering (ICDKE 2012). Fujian, China 21 - 23 Nov 2012 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-34679-8_8Retrieving information from microblog using pattern mining and relevance feedback
Lau, Cher Han, Tao, Xiaohui, Tjondronegoro, Dian and Li, Yuefeng. 2012. "Retrieving information from microblog using pattern mining and relevance feedback." Xiang, Yang, Pathan, Mukaddim, Tao, Xiaohui and Wan g, Hua (ed.) 3rd International Conference on Data and Knowledge Engineering (ICDKE 2012). Fujian, China 21 - 23 Nov 2012 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-34679-8_15Personalised information gathering and recommender systems: techniques and trends
Tao, Xiaohui, Zhou, Xujuan, Lau, Cher Han and Li, Yuefeng. 2013. "Personalised information gathering and recommender systems: techniques and trends." EAI Endorsed Transactions on Scalable Information Systems. 13 (1-3), pp. 1-17. https://doi.org/10.4108/trans.sis.2013.01-03.e4Mining contextual knowledge for context-aware recommender systems
Zhang, Wenping, Lau, Raymond and Tao, Xiaohui. 2012. "Mining contextual knowledge for context-aware recommender systems." Chao, Kuo-Ming, Lei, Hui, Li, Yinsheng, Chung, Jen-Yao and Shah, Nazaraf (ed.) 9th IEEE International Conference on E-Business Engineering (ICEBE 2012). Hangzhou, China 09 - 11 Sep 2012 Los Alamitos, CA. United States. https://doi.org/10.1109/ICEBE.2012.65Optimal timepoint sampling in high-throughput gene expression experiments
Rosa, Bruce A., Zhang, Ji, Major, Ian T., Qin, Wensheng and Chen, Jin. 2012. "Optimal timepoint sampling in high-throughput gene expression experiments." Bioinformatics. 28 (21), pp. 2773-2781. https://doi.org/10.1093/bioinformatics/bts511Modelling impacts of vegetation cover change on regional climate
McAlpine, Clive A., Syktus, Jozef I., Deo, Ravinesh C., Lawrence, Peter J., McGowan, Hamish A., Watterson, Ian G. and Phinn, Stuart R.. 2009. Modelling impacts of vegetation cover change on regional climate. Canberra, Australia. Land and Water Australia.Privacy preserving access control policy and algorithms for conflicting problems
Sun, Lili, Wang, Hua, Tao, Xiaohui, Zhang, Yanchun and Yang, Jing. 2011. "Privacy preserving access control policy and algorithms for conflicting problems." Kellenberger, Patrick (ed.) 10th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2011). Changsha, China 16 - 18 Nov 2011 Los Alamitos, CA. United States. https://doi.org/10.1109/TrustCom.2011.34An ontology-based mining approach for user search intent discovery
Shen, Yan, Li, Yuefeng, Xu, Yue, Iannella, Renato, Algarni, Abdulmohsen and Tao, Xiaohui. 2011. "An ontology-based mining approach for user search intent discovery." Cunningham, Sally Jo, Scholer, Falk and Thomas, Paul (ed.) 16th Australasian Document Computing Symposium (ADCS 2011). Canberra, Australia 02 Dec 2011 Melbourne, Australia.Positive influence dominating set in e-learning social networks
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2011. "Positive influence dominating set in e-learning social networks." Leung, H., Popescu, E., Cao, Y., Lau, R. W. H. and Nejdl, W. (ed.) 10th International Conference on Web-Based Learning (ICWL 2011): Advances in Web-Based Learning. Hong Kong, China 08 - 10 Dec 2011 Berlin, Germany. https://doi.org/10.1007/978-3-642-25813-8_9Multi-modal summarization of key events and top players in sports tournament videos
Tjondronegoro, Dian, Tao, Xiaohui, Sasongko, Johannes and Lau, Cher Han. 2011. "Multi-modal summarization of key events and top players in sports tournament videos." IEEE Workshop on Applications of Computer Vision (WACV 2011). Kona, United States 05 - 07 Jan 2011 Piscataway, NJ. United States. https://doi.org/10.1109/WACV.2011.5711541On meteorological droughts in tropical Pacific Islands: time-series analysis of observed rainfall using Fiji as a case study
Deo, Ravinesh C.. 2011. "On meteorological droughts in tropical Pacific Islands: time-series analysis of observed rainfall using Fiji as a case study." Meteorological Applications. 18 (2), pp. 171-180. https://doi.org/10.1002/met.216A cross-media framework for personalized learning systems
Jia, Tingbai and Tao, Xiaohui. 2011. "A cross-media framework for personalized learning systems." Zhang, Ji and Livraga, Giovanni (ed.) 2nd International Conference on Data and Knowledge Engineering (ICDKE 2011). Milan, Italy 06 - 08 Sep 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICDKE.2011.6053933A personalized ontology model for web information gathering
Tao, Xiaohui, Li, Yuefeng and Zhong, Ning. 2011. "A personalized ontology model for web information gathering." IEEE Transactions on Knowledge and Data Engineering. 23 (4), pp. 496-511. https://doi.org/10.1109/TKDE.2010.145The influence of Reynolds number on a plane jet
Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2008. "The influence of Reynolds number on a plane jet." Physics of Fluids. 20 (7). https://doi.org/10.1063/1.2959171Impact of land cover change on regional climate and El Nino in Australia
Syktus, J., Deo, R. C., McAlpine, C. A., McGowan, H. A. and Phinn, S.. 2007. "Impact of land cover change on regional climate and El Nino in Australia." Oxley, Les and Kulasiri, Don (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 Australia. Modelling and Simulation Society of Australia and New Zealand .On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950 - 2005
Deo, R. C., McAlpine, C. A., Syktus, J., McGowan, H. A. and Phinn, S.. 2007. "On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950 - 2005." Oxley, Les and Kulasiri, Don (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 Australia. Modelling and Simulation Society of Australia and New Zealand .Characterization of turbulent jets from high-aspect-ratio rectangular nozzles
Mi, J., Deo, R. C. and Nathan, G. J.. 2005. "Characterization of turbulent jets from high-aspect-ratio rectangular nozzles." Physics of Fluids. 17 (6). https://doi.org/10.1063/1.1928667A process provenance service system for scientific data analysis and sharing
Liu, Qing, Zhang, Ji, Forbes, James, Xu, Kai and Nair, Dinesh. 2011. "A process provenance service system for scientific data analysis and sharing." Zhang, Ji and Livraga, Gionvanni (ed.) 2nd International Conference on Data and Knowledge Engineering (ICDKE 2011). Milan, Italy 06 - 08 Sep 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICDKE.2011.6053921Privacy aware access control with trust management in web service
Li, Min, Sun, Xiaoxun, Wang, Hua, Zhang, Yanchun and Zhang, Ji. 2011. "Privacy aware access control with trust management in web service." World Wide Web. 14 (4), pp. 407-430. https://doi.org/10.1007/s11280-011-0114-8Mining world knowledge for analysis of search engine content
King, John D., Li, Yuefeng, Tao, Xiaohui and Nayak, Richi. 2007. "Mining world knowledge for analysis of search engine content." Web Intelligence. 5 (3), pp. 233-253.Dynamics of precipitation climatology of the Southwest Pacific Region
Deo, Ravinesh Chand. 2001. Dynamics of precipitation climatology of the Southwest Pacific Region. Masters Thesis Master of Science (Research). University of Canterbury, New Zealand.Automatically acquiring training sets for web information gathering
Tao, Xiaohui, Li, Yuefeng, Zhong, Ning and Nayak, Richi. 2006. "Automatically acquiring training sets for web information gathering." Liu, Jiming and Wah, Benjamin W. (ed.) 2006 IEEE/WIC/ACM International Conference on Web Intelligence. Hong Kong, China 18 - 22 Dec 2006 Piscataway, NJ. United States. https://doi.org/10.1109/WI.2006.49Ontology mining for semantic interpretation of user information needs
Tao, Xiaohui, Li, Yuefeng and Nayak, Richi. 2007. "Ontology mining for semantic interpretation of user information needs." Zhang, Zili and Siekmann, Jorg (ed.) 2nd International Conference on Knowledge Science, Engineering, and Management (KSEM 2007). Melbourne, Australia 28 - 30 Nov 2007 Germany. Springer. https://doi.org/10.1007/978-3-540-76719-0_32A User Profiles Acquiring Approach Using Pseudo-Relevance Feedback
Tao, Xiaohui and Li, Yuefeng. 2009. "A User Profiles Acquiring Approach Using Pseudo-Relevance Feedback." Wen, Peng, Li, Yuefeng, Polkowski, Lech and Yao, Yiyu (ed.) 4th International Conference on Rough Sets and Knowledge Technology (RSKT 2009). Gold Coast, Australia 14 - 16 Jul 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-02962-2_83Concept-Based, Personalized Web Information Gathering: A Survey
Tao, Xiaohui and Li, Yuefeng. 2009. "Concept-Based, Personalized Web Information Gathering: A Survey." 3rd International Conference on Knowledge Science, Engineering, and Management (KSEM 2009). Vienna, Austria 25 - 27 Nov 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-10488-6_23DISTRO: a system for detecting global outliers from distributed data streams with privacy protection
Zhang, Ji, Dekeyser, Stijn, Wang, Hua and Shu, Yanfeng. 2010. "DISTRO: a system for detecting global outliers from distributed data streams with privacy protection." Kitagawa, Hiroyuki, Ishikawa, Yoshiharu, Li, Qing and Watanabe, Chiemi (ed.) DASFAA 2010: 15th International Conference on Database Systems for Advanced Applications. Tsukuba, Japan 01 - 04 Apr 2010 Germany. Springer. https://doi.org/10.1007/978-3-642-12098-5_54On memory and I/O efficient duplication detection for multiple self-clean data sources
Zhang, Ji, Shu, Yanfeng and Wang, Hua. 2010. "On memory and I/O efficient duplication detection for multiple self-clean data sources." Yoshikawa, M. (ed.) DASFAA 2010: 15th International Conference on Database Systems for Advanced Applications. Tsukuba, Japan 01 - 04 Apr 2010 Germany. Springer. https://doi.org/10.1007/978-3-642-14589-6_14An information-driven framework for image mining
Zhang, Ji, Hsu, Wynne and Lee, Mong Li. 2001. "An information-driven framework for image mining." Mayr, Heinrich C., Lazansky, Jiri, Quirchmayr, Gerald and Vogel, Pavel (ed.) 12th International Conference on Database and Expert Systems Applications (DEXA'01). Munich, Germany 03 - 05 Sep 2001 Germany. Springer. https://doi.org/10.1007/3-540-44759-8_24Building XML data warehouse based on frequent patterns in user queries
Zhang, Ji, Ling, Tok Wang, Bruckner, Robert and Tjoa, A. Min. 2003. "Building XML data warehouse based on frequent patterns in user queries." Kambayahsi, Yahiko, Mohania, Mukesh K. and Wob, Wolfram (ed.) 5th International Conference on Data Warehousing and Knowledge Discovery (DaWaK'03). Prague, Czech Republic 03 - 05 Sep 2003 Germany. Springer. https://doi.org/10.1007/978-3-540-45228-7_11On efficient and effective association rule mining from XML data
Zhang, Ji, Ling, Tok Wang, Bruckner, Robert, Tjoa, A. Min and Liu, Han. 2004. "On efficient and effective association rule mining from XML data." Galindo, Fernando, Takizawa, Makoto and Traunmuller, Roland (ed.) 15th International Conference on Database and Expert Systems Applications (DEXA'04). Zaragoza, Spain 30 Aug - 03 Sep 2004 Germany. Springer. https://doi.org/10.1007/978-3-540-30075-5_48PC-filter: a Robust filtering technique for duplicate record detection in large databases
Zhang, Ji, Ling, Tok Wang, Bruckner, Robert and Liu, Han. 2004. "PC-filter: a Robust filtering technique for duplicate record detection in large databases." Galindo, Fernando, Takizawa, Makoto and Traunmuller, Roland (ed.) 15th International Conference on Database and Expert Systems Applications (DEXA'04). Zaragoza, Spain 30 Aug - 03 Sep 2004 Germany. Springer. https://doi.org/10.1007/978-3-540-30075-5_47Gene specific co-regulation discovery: an improved approach
Zhang, Ji, Liu, Qing and Xu, Kai. 2009. "Gene specific co-regulation discovery: an improved approach." Allen, G., Nabrzyski, J., Seidel, E., van Albada, G. D., Dongarra, J. and Sloot, P. M. A. (ed.) 2009 International Conference on Computational Science (ICCS 2009): Compute. Discover. Innovate.. Baton Rouge, United States of America 25 - 27 May 2009 Germany. Springer.Detecting projected outliers in high-dimensional data streams
Zhang, Ji, Gao, Qigang, Wang, Hai, Liu, Qing and Xu, Kai. 2009. "Detecting projected outliers in high-dimensional data streams." Bhowmick, Sourav S., Kung, Josef and Wagner, Roland (ed.) 20th International Conference on Database and Expert Systems Applications (DEXA 2009). Linz, Austria 31 Aug - 04 Sep 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-03573-9_53Climatology of tropical cyclones in the South Pacific Region and their relationships to El Niño events
Deo, Ravinesh C.. 2004. "Climatology of tropical cyclones in the South Pacific Region and their relationships to El Niño events." 16th Australia New Zealand Climate Forum: Climate and Water (ANZCF2004). Lorne, Australia 08 - 10 Nov 2004 Lorne, Vic, Australia.Designing an evaluation of a tertiary preparatory program within the university context
Deo, Ravinesh. 2011. "Designing an evaluation of a tertiary preparatory program within the university context." PAMA 2011: Global Educators for Contemporary Learning Communities. Toowoomba, Australia 30 May - 10 Jun 2011 Toowoomba, Australia.Modeling the impact of historical land cover change on Australia's regional climate
McAlpine, C. A., Syktus, J., Deo, R. C., Lawrence, P. J., McGowan, H. A., Watterson, I. G. and Phinn, Stuart. 2007. "Modeling the impact of historical land cover change on Australia's regional climate." Geophysical Research Letters. 34 (22), pp. L22711-1. https://doi.org/10.1029/2007GL031524Web service management system for bioinformatics research: a case study
Xu, Kai, Yu, Qi, Liu, Qing, Zhang, Ji and Bouguettaya, Athman. 2011. "Web service management system for bioinformatics research: a case study." Service Oriented Computing and Applications. 5 (1), pp. 1-15. https://doi.org/10.1007/s11761-011-0076-9Impacts of land use/land cover change on climate and future research priorities
Mahmood, Rezaul, Pielke, Roger A., Hubbard, Kenneth G., Niyogi, Dev, Bonan, Gordon, Lawrence, Peter, McNider, Richard, McAlpine, Clive, Etter, Andres, Gameda, Samuel, Qian, Budong, Carleton, Andrew, Beltran-Przekurat, Adriana, Chase, Thomas, Quintanar, Arturo I., Adegoke, Jimmy O., Vezhapparambu, Sajith, Conner, Glen, Asefi, Salvi, ..., Syktus, Jozef. 2010. "Impacts of land use/land cover change on climate and future research priorities." Bulletin of the American Meteorological Society. 91 (1), pp. 37-46. https://doi.org/10.1175/2009BAMS2769.1Detecting anomalies from high-dimensional wireless network data streams: a case study
Zhang, Ji, Gao, Qigang, Wang, Hai and Wang, Hua. 2011. "Detecting anomalies from high-dimensional wireless network data streams: a case study." Soft Computing. 15 (6), pp. 1195-1215. https://doi.org/10.1007/s00500-010-0575-1Connecting users and items with weighted tags for personalized item recommendations
Liang, Huizhi, Xu, Yue, Li, Yuefeng, Nayak, Richi and Tao, Xiaohui. 2010. "Connecting users and items with weighted tags for personalized item recommendations." Chignell, Mark and Toms, Elaine (ed.) HT 2010: 21st ACM Conference on Hypertext and Hypermedia. Toronto, Canada 13 - 16 Jun 2010 New York, USA. https://doi.org/10.1145/1810617.1810628Ontology-based specific and exhaustive user profiles for constraint information fusion for multi-agents
Tao, Xiaohui, Li, Yuefeng, Lau, Raymond Y. K. and Geva, Shlomo. 2010. "Ontology-based specific and exhaustive user profiles for constraint information fusion for multi-agents." Huang, Xiangji Jimmy, King, Irwin, Raghavan, Vijay and Rueger, Stefan (ed.) 2010 IEEE/WIC/ACM International Conference on Web Intelligence. Toronto, Canada 31 Aug - 03 Sep 2010 Los Alamitos, CA. United States. https://doi.org/10.1109/WI-IAT.2010.76Mining specific and general features in both positive and negative relevance feedback
Algarni, Abdulmohsen, Li, Yuefeng and Tao, Xiaohui. 2010. "Mining specific and general features in both positive and negative relevance feedback." Voorhees, E. M. and Buckland, Lori P. (ed.) TREC 2010: 19th Text REtrieval Conference: Relevance Feedback Track. Gaithersburg, United States 16 - 19 Nov 2010 Gaithersburg, MD, USA.A knowledge-based model using ontologies for personalized web information gathering
Tao, Xiaohui, Li, Yuefeng and Zhong, Ning. 2010. "A knowledge-based model using ontologies for personalized web information gathering." Web Intelligence. 8 (3), pp. 235-254. https://doi.org/10.3233/WIA-2010-0189On the influence of initial conditions on a turbulent plane jet: the role of nozzle exit area
Deo, Ravinesh C., Nathan, Graham Jerold and Mi, Jianchun. 2010. "On the influence of initial conditions on a turbulent plane jet: the role of nozzle exit area." Mallinson, G. D. and Cater, J. E. (ed.) 17th Australasian Fluid Mechanics Conference (AFMC 2010). Auckland, New Zealand 05 - 09 Dec 2010 Auckland, New Zealand.Links between native forest and climate in Australia
Deo, Ravinesh C.. 2011. "Links between native forest and climate in Australia." Weather. 66 (3), pp. 64-69. https://doi.org/10.1002/wea.659Privacy-preserving protocols for string matching
Luo, Yonglong, Shi, Lei, Zhang, Caiyun and Zhang, Ji. 2010. "Privacy-preserving protocols for string matching." Xiang, Yang, Samarati, Pierangela, Hu, Jiankun, Zhou, Wanlei and Sadeghi, Ahmad-Reza (ed.) NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Piscataway, NJ. United States. https://doi.org/10.1109/NSS.2010.24An efficient and effective duplication detection method in large database applications
Zhang, Ji. 2010. "An efficient and effective duplication detection method in large database applications." Xiang, Yang, Samarati, Pierangela, Hu, Jiankun, Zhou, Wanlei and Sadeghi, Ahmad-Reza (ed.) NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Los Alamitos, CA. United States. https://doi.org/10.1109/NSS.2010.78A web-based interactive data visualization system for outlier subspace analysis
Liu, Dong, Gao, Qigang, Wang, Hai and Zhang, Ji. 2010. "A web-based interactive data visualization system for outlier subspace analysis." Debnath, Narayan (ed.) SEDE 2010: 19th International Conference on Software Engineering and Data Engineering. San Francisco, United States 16 - 18 Jun 2010 Cary, NC. United States.The simulated impact of land cover change on climate extremes in eastern Australia
Deo, R. C., Syktus, J. I., McAlpine, C. A. and Wong, K. K.. 2009. "The simulated impact of land cover change on climate extremes in eastern Australia." Anderssen, R. S., Braddock, R. D. and Newham, L. T. H. (ed.) 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Cairns, Australia 13 - 17 Jul 2009 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .Effect of exit Reynolds number on self-preservation of a plane jet
Mi, Jianchun, Feng, Baoping, Deo, Ravinesh C. and Nathan, Graham J.. 2009. "Effect of exit Reynolds number on self-preservation of a plane jet." Chinese Physics B. 58 (11), pp. 7756-7764.A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate
McAlpine, C. A., Syktus, J., Ryan, J. G., Deo, R. C., McKeon, G. M., McGowan, H. A. and Phinn, S. R.. 2009. "A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate." Global Change Biology. 15 (9), pp. 2206-2223. https://doi.org/10.1111/j.1365-2486.2009.01939.xImpact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia
Deo, R. C., Syktus, J. I., McAlpine, C. A., Lawrence, P. J., McGowan, H. A. and Phinn, S. R.. 2009. "Impact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia." Geophysical Research Letters. 36 (8), pp. 1-5. https://doi.org/10.1029/2009GL037666Experimental investigations of the effect of Reynolds number on a plane jet
Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "Experimental investigations of the effect of Reynolds number on a plane jet." Jacobs, Peter A., McIntyre, Tim, Cleary, Matthew J., Buttsworth, David R., Mee, David, Clements, Rose, Morgan, Richard and Lemckert, Charles (ed.) 16th Australasian Fluid Mechanics Conference (AFMC 2007). Gold Coast, Australia 03 - 07 Dec 2007 Brisbane, Australia.The influence of nozzle-exit geometric profile on statistical properties of a turbulent plane jet
Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "The influence of nozzle-exit geometric profile on statistical properties of a turbulent plane jet." Experimental Thermal and Fluid Science. 32 (2), pp. 545-559. https://doi.org/10.1016/j.expthermflusci.2007.06.004The influence of nozzle aspect ratio on plane jets
Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2007. "The influence of nozzle aspect ratio on plane jets." Experimental Thermal and Fluid Science. 31 (8), pp. 825-838. https://doi.org/10.1016/j.expthermflusci.2006.08.009Total rain accumulation and rain-rate analysis for small tropical Pacific islands: a case study of Suva, Fiji
Kumar, Vickal V., Deo, Ravinesh C. and Ramachandran, Visagaperuman. 2006. "Total rain accumulation and rain-rate analysis for small tropical Pacific islands: a case study of Suva, Fiji." Atmospheric Science Letters. 7 (3), pp. 53-58. https://doi.org/10.1002/asl.131Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales
Mi, Jianchun, Deo, Ravinesh C. and Nathan, Graham J.. 2005. "Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales." Physical Review E. 71 (6), pp. 1-5. https://doi.org/10.1103/PhysRevE.71.066304An investigation on rainfall patterns and the general circulation in the southwest Pacific region
Deo, Ravinesh C.. 2004. "An investigation on rainfall patterns and the general circulation in the southwest Pacific region." 16th Australia New Zealand Climate Forum: Climate and Water (ANZCF2004). Lorne, Australia 08 - 10 Nov 2004 Lorne, Vic, Australia.Comparison of turbulent jets issuing from rectangular nozzles with and without sidewalls
Deo, Ravinesh C., Nathan, Graham J. and Mi, Jianchun. 2007. "Comparison of turbulent jets issuing from rectangular nozzles with and without sidewalls." Experimental Thermal and Fluid Science. 32 (2), pp. 596-606. https://doi.org/10.1016/j.expthermflusci.2007.06.009Dependence of a plane turbulent jet on its nozzle contraction profile
Deo, Ravinesh C., Mi, Jianchun and Nathan, Graham J.. 2005. "Dependence of a plane turbulent jet on its nozzle contraction profile." Jets, Wakes and Separated Flows: International Conference on Jets, Wakes and Separated Flows (ICJWSF) (2005). Mie, Japan 05 - 08 Oct 2005 Mie, Japan.An investigation of the influence of nozzle aspect ratio on the velocity field of turbulent plane jet
Deo, R. C., Mi, J. and Nathan, G. J.. 2004. "An investigation of the influence of nozzle aspect ratio on the velocity field of turbulent plane jet." Behnia, M., Lin, W. and McBain, G. D. (ed.) 15th Australasian Fluid Mechanics Conference (AFMC 2004). Sydney, Australia 13 - 17 Dec 2004 Sydney, Australia.Semi-bipartite graph visualization for gene ontology networks
Xu, Kai, Williams, Rohan, Hong, Seok-Hee, Liu, Qing and Zhang, Ji. 2010. "Semi-bipartite graph visualization for gene ontology networks." Eppstein, D. and Gansner, E. R. (ed.) GD 2009: 17th International Symposium on Graph Drawing. Chicago, United States 22 - 25 Sep 2009 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-11805-0_24FlowRecommender: a workflow recommendation technique for process provenance
Zhang, Ji, Liu, Qing and Xu, Kai. 2009. "FlowRecommender: a workflow recommendation technique for process provenance." Kennedy, Paul J., Ong, Kok-Leong and Christen, Peter (ed.) 8th Australasian Data Mining Conference (AusDM 2009): Data Mining and Analytics. Melbourne, Australia 01 - 04 Dec 2009 Melbourne, Australia.Image mining: issues, frameworks and techniques
Zhang, Ji, Hsu, Wynne and Lee, Mong Li. 2001. "Image mining: issues, frameworks and techniques." Zaïane, Osmar R. and Simoff, Simeon J. (ed.) 2nd ACM SIGKDD International Workshop on Multimedia Data Mining (MDM/KDD'01). San Francisco, USA 26 Aug 2001 Canada.HOS-Miner: a system for detecting outlying subspaces of high-dimensional data
Zhang, Ji, Lou, Meng, Ling, Tok Wang and Wang, Hai. 2004. "HOS-Miner: a system for detecting outlying subspaces of high-dimensional data." Nascimento, Mario A., Özsu, M. Tamer, Kossmann, Donald, Miller, Renee J., Blakeley, Jose A. and Schiefer, K. Bernhard (ed.) 30th International Conference on Very Large Data Bases (VLDB'04). Toronto, Canada 31 Aug - 03 Sep 2004 San Francisco, California, United States.Detecting outlying subspaces for high-dimensional data: the new task, algorithms and performance
Zhang, Ji and Wang, Hai. 2006. "Detecting outlying subspaces for high-dimensional data: the new task, algorithms and performance." Knowledge and Information Systems. 10 (3), pp. 333-355.Outlier detection for high-dimensional data streams
Zhang, Ji, Gao, Qigang and Wang, Hai. 2007. "Outlier detection for high-dimensional data streams." 5th Dalhousie Computer Science In-house Conference (DCSI'07). Halifax, Canada 05 Apr 2007 Halifax, Nova Scotia, Canada.D-GridMST: clustering large distributed spatial databases
Zhang, Ji and Liu, Han. 2005. "D-GridMST: clustering large distributed spatial databases." Halgamuge, Saman K. and Wang, Lipo (ed.) Classification and clustering for knowledge discovery. Berlin, Germany. Springer. pp. 61-72A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data
Liu, Han, Kustra, Rafal and Zhang, Ji. 2004. "A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data." Arabnia, Hamid R. (ed.) 2004 International Conference on Artificial Intelligence (ICAI'04). Las Vegas, United States 21 - 24 Jun 2004 Las Vegas, Nevada, USA.A color indexing scheme using two-Level clustering processing for effective and efficient image retrieval
Zhang, Ji, Wang, Wei and Zhang, Sheng. 2005. "A color indexing scheme using two-Level clustering processing for effective and efficient image retrieval." Arabnia, Hamid R. and Scime, A. (ed.) 2005 International Conference on Data Mining (DMIN'05). Las Vegas, United States of America Jun 2005 Las Vegas, Nevada, USA.Image mining: trends and developments
Hsu, Wynne, Lee, Mong Li and Zhang, Ji. 2002. "Image mining: trends and developments." Journal of Intelligent Information Systems. 19 (1), pp. 7-23. https://doi.org/10.1023/A:1015508302797A framework for efficent association rule mining in XML data
Zhang, Ji, Liu, Han, Ling, Tok Wang, Bruckner, Robert and Tjoa, A. Min. 2006. "A framework for efficent association rule mining in XML data." Journal of Database Management. 17 (3), pp. 19-40.Gene specific co-regulation discovery from gene microarray data
Zhang, Ji, Liu, Qing, Xu, Kai and de Souza, Paulo. 2008. "Gene specific co-regulation discovery from gene microarray data." Arthur, Jonathan and Ng, See-Kiong (ed.) 19th International Conference on Genome Informatics (GIW 2008). Gold Coast, Australia 01 - 03 Dec 2008Discover gene specific local co-regulations from time-course gene expression data
Zhang, Ji, Gao, Qigang and Wang, Hai. 2008. "Discover gene specific local co-regulations from time-course gene expression data." Journal of Scientific Programming. 16 (1), pp. 31-47. https://doi.org/10.3233/SPR-2008-0243A review of ontology and web service composition
Zhang, Ji. 2008. A review of ontology and web service composition. Australia. CSIRO Publishing.Bio-SENSE: semantic web services for bioinformatics provenance
Bouguettaya, Athman, Hepburn, Mark, Liu, Qing, Xu, Kai and Zhang, Ji. 2008. "Bio-SENSE: semantic web services for bioinformatics provenance." Bird, Trevor (ed.) 2008 CSIRO ICT Centre Conference. Sydney, Australia 20 - 21 Nov 2008 Sydney, Australia.Towards outlier detection for high-dimensional data streams using projected outlier analysis strategy
Zhang, Ji. 2008. Towards outlier detection for high-dimensional data streams using projected outlier analysis strategy. PhD Thesis Doctor of Philosophy. Dalhousie University, Canada.X-warehouse: building query pattern-driven data warehouse for XML data
Zhang, Ji, Wang, Wei, Liu, Han and Zhang, Sheng. 2005. "X-warehouse: building query pattern-driven data warehouse for XML data." Ellis, Allan and Hagino, Tatsuya (ed.) 14th International World Wide Web Conference (WWW'05). Chiba, Japan 10 - 14 May 2005 New York, NY, USA.XAR-Miner: efficient association rules mining for XML data
Zhang, Sheng, Zhang, Ji, Liu, Han and Wang, Wei. 2005. "XAR-Miner: efficient association rules mining for XML data." Ellis, Allan and Hagino, Tatsuya (ed.) 14th International World Wide Web Conference (WWW'05). Chiba, Japan 10 - 14 May 2005 New York, NY, USA.Detecting outlying subspaces for high-dimensional data: a heuristic search approach
Zhang, Ji. 2005. "Detecting outlying subspaces for high-dimensional data: a heuristic search approach." 2005 SIAM International Workshop on Feature Selection for Data Mining: Interfacing Machine Learning and Statistics. Newport Beach, United States of America 23 Apr 2005Outlying subspace detection for high-dimensional data
Zhang, Ji, Gao, Qigang and Wang, Hai. 2009. "Outlying subspace detection for high-dimensional data." Rivero, Laura C., Doorn, Jorge Horacio and Ferraggine, Viviana E. (ed.) Encyclopedia of database technologies and applications, 2nd ed.. Hershey, PA, United States. IGI Global. pp. 1-6Grid-ODF: detecting outliers effectively and efficiently in large multi-dimensional databases
Wang, Wei, Zhang, Ji and Wang, Hai. 2005. "Grid-ODF: detecting outliers effectively and efficiently in large multi-dimensional databases." Hao, Y., Liu, J., Wang, Y., Cheung, Y.-M., Yin, H., Jiao, L., Ma, J. and Jiao, Y.-C. (ed.) 2005 IEEE International Conference on Computational Intelligence and Security (CIS'05). Xi'an, China 15 - 19 Dec 2005 Heidelberg, Germany.Bio-Sense: a system for supporting sharing and exploration in bioinformatics using semantic web services
Bouguettaya, Athman, Hepburn, Mark, Liu, Qing, Xu, Kai and Zhang, Ji. 2008. "Bio-Sense: a system for supporting sharing and exploration in bioinformatics using semantic web services." 4th IEEE International Conference on eScience (eScience'08). Indianapolis, United States 10 - 12 Dec 2009 New York, United States.Discover gene specific local co-regulations using progressive genetic algorithm
Zhang, Ji, Gao, Qigang and Wang, Hai. 2006. "Discover gene specific local co-regulations using progressive genetic algorithm." 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06). Washington D.C., United States 13 - 15 Nov 2006 New York, United States.A novel method for detecting outlying subspaces in high-dimensional databases using genetic algorithm
Zhang, Ji, Gao, Qigang and Wang, Hai. 2006. "A novel method for detecting outlying subspaces in high-dimensional databases using genetic algorithm." 6th IEEE International Conference on Data Mining (ICDM 2006). Hong Kong, China 18 - 20 Dec 2006 New York, United States.Anomaly detection in high-dimensional network data streams: a case study
Zhang, Ji, Gao, Qigang and Wang, Hai. 2008. "Anomaly detection in high-dimensional network data streams: a case study." 2008 IEEE International Conference on Intelligence and Security Informatics (ISI '08). Taipei, Taiwan 17 - 20 Jun 2008 New York, United States.SPOT: a system for detecting projected outliers from high-dimensional data streams
Zhang, Ji, Gao, Qigang and Wang, Hai. 2008. "SPOT: a system for detecting projected outliers from high-dimensional data streams." 24th IEEE International Conference on Data Engineering (ICDE 2008). Cancun, Mexico 07 - 12 Apr 2008 New York, United States. https://doi.org/10.1109/ICDE.2008.4497638Clustering in dynamic spatial databases
Zhang, Ji, Hsu, Wynne and Lee, Mong Li. 2005. "Clustering in dynamic spatial databases." Journal of Intelligent Information Systems. 24 (1), pp. 5-27. https://doi.org/10.1007/s10844-005-0265-0This item comprises data from the following sources: Web of Science