Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results

Article


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/en15031061
Article Title

Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results

ERA Journal ID123161
Article CategoryArticle
AuthorsGhimire, Sujan (Author), Deo, Ravinesh C. (Author), Wang, Hua (Author), Al-Musaylh, Mohanad S. (Author), Casillas-Perez, David (Author) and Salcedo-sanz, Sancho
Journal TitleEnergies
Journal Citation15 (3), pp. 1-39
Article Number1061
Number of Pages39
Year2022
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN1996-1073
Digital Object Identifier (DOI)https://doi.org/10.3390/en15031061
Web Address (URL)https://www.mdpi.com/1996-1073/15/3/1061/htm
Abstract

We review the latest modeling techniques and propose new hybrid SAELSTM framework based on Deep Learning (DL) to construct prediction intervals for daily Global Solar Radiation (GSR) using the Manta Ray Foraging Optimization (MRFO) feature selection to select model parameters. Features are employed as potential inputs for Long Short-Term Memory and a seq2seq SAELSTM autoencoder Deep Learning (DL) system in the final GSR prediction. Six solar energy farms in Queensland, Australia are considered to evaluate the method with predictors from Global Climate Models and ground-based observation. Comparisons are carried out among DL models (i.e., Deep Neural Network) and conventional Machine Learning algorithms (i.e., Gradient Boosting Regression, Random Forest Regression, Extremely Randomized Trees, and Adaptive Boosting Regression). The hyperparameters are deduced with grid search, and simulations demonstrate that the DL hybrid SAELSTM model is accurate compared with the other models as well as the persistence methods. The SAELSTM model obtains quality solar energy prediction intervals with high coverage probability and low interval errors. The review and new modelling results utilising an autoencoder deep learning method show that our approach is acceptable to predict solar radiation, and therefore is useful in solar energy monitoring systems to capture the stochastic variations in solar power generation due to cloud cover, aerosols, ozone changes, and other atmospheric attenuation factors.

KeywordsLSTM network; sequence to sequence (Seq2Seq) model; autoencoder; solar energy monitoring; sustainable renewable energy; deep learning
ANZSRC Field of Research 2020460207. Modelling and simulation
401703. Energy generation, conversion and storage (excl. chemical and electrical)
Institution of OriginUniversity of Southern Queensland
Byline AffiliationsSchool of Mathematics, Physics and Computing
School of Mathematics, Physics and Computing
Victoria University
Southern Technical University, Iraq
Rey Juan Carlos University, Spain
University of Alcala, Spain
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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.2022.111759
Basin 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.2022.158359
Introductory 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/su141711070
Kernel 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/rs14051136
Cloud 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.2022.3153475
Development 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.2022.127534
Integrative 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.2022.114711
An 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.2021.808339
Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals
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.2022.110731
Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data
O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C., Pembleton, Keith, Khan, Urooj and Tuteja, Narendra. 2022. "Classification of catchments for nitrogen using Artificial Neural Network Pattern Recognition and spatial data." Science of the Total Environment. 809, pp. 1-15. https://doi.org/10.1016/j.scitotenv.2021.151139
Domino effect of climate change over two millennia in ancient China’s Hexi Corridor
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/s41893-019-0397-9
Bat 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/s12665-018-7662-5
Characteristics 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-z
The 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/s1266
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
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-z
Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots
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.2022.119111
New 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.2022.154722
Emerging Topic Detection from Microblog Streams Based on Emerging Pattern Mining
Peng, Min, Ouyang, Shuang, Zhu, Jiahui, Huang, Jiajia, Wang, Hua and Yong, Jianming. 2018. "Emerging Topic Detection from Microblog Streams Based on Emerging Pattern Mining." 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.2018.8465166
Block Bayesian Sparse Topical Coding
Peng, Min, Shi, Hongliang, Xie, Qianqian, Zhang, Yihan, Wang, Hua, Li, Zhaoyunfei and Yong, Jianming. 2018. "Block Bayesian Sparse Topical Coding." 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.2018.8465366
Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine
Sharma, Neelesh and Deo, Ravinesh. 2021. "Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive Modelling for Energy Management and Power Systems Engineering. Netherlands. Elsevier. pp. 437-484
Support vector machine model for multistep wind speed forecasting
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. 335-389
Development of data-driven models for wind speed forecasting in Australia
Neupane, Ananta, Raj, Nawin, Deo, Ravinesh and Ali, Mumtaz. 2021. "Development of data-driven models for wind speed forecasting in Australia." Deo, R., Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Netherlands. Elsevier. pp. 143-190
Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)
Loh, Hui Wen, Hong, Wanrong, Ooi, Chui Ping, Chakraborty, Subrata, Barua, Prabal Datta, Deo, Ravinesh C., Soar, Jeffrey, Palmer, Elizabeth E. and Acharya, U. Rajendra. 2021. "Application of deep learning models for automated identification of Parkinson’s disease: a review (2011–2021)." Sensors. 21, pp. 1-27. https://doi.org/10.3390/s21217034
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
Tao, Hai, Al-Khafaji, Zainab S., Qi, Chongchong, Zounemat-Kermani, Mohammad, Kisi, Ozgur, Tiyasha, Tiyasha, Chau, Kwok-Wing, Nourani, Vahid, Melesse, Assefa M., Elhakeem, Mohamed, Farooque, Aitazaz Ahsan, Nejadhashemi, A. Pouyan, Khedher, Khaled Mohamed, Alawi, Omer A., Deo, Ravinesh C., Shahid, Shamsuddin, Singh, Vijay P. and Yaseen, Zaher Mundher. 2021. "Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions." Engineering Applications of Computational Fluid Mechanics. 15 (1), pp. 1585-1612. https://doi.org/10.1080/19942060.2021.1984992
Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Sankaran, Adarsh, Deo, Ravinesh C., Xiao, Fuyuan and Zhu, Shuyu. 2021. "Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia." Renewable Energy. 177, pp. 1033-1044. https://doi.org/10.1016/j.renene.2021.06.052
Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition
Huynh, Anh Ngoc-Lan, Deo, Ravinesh C., Ali, Mumtaz, Abdulla, Shahab and Raj, Nawin. 2021. "Novel short-term solar radiation hybrid model: long short-term memory network integrated with robust local mean decomposition." Applied Energy. 298, pp. 1-19. https://doi.org/10.1016/j.apenergy.2021.117193
Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach
Pham, Yen Hoang, Reardon-Smith, Kathryn and Deo, Ravinesh C.. 2021. "Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach." Journal of Environmental Management. 292. https://doi.org/10.1016/j.jenvman.2021.112790
An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems
Yin, Xinwei, Feng, Qi, Li, Yan, Deo, Ravinesh C., Liu, Wei, Zhu, Meng, Zheng, Xinjun and Liu, Ran. 2022. "An interplay of soil salinization and groundwater degradation threatening coexistence of oasis-desert ecosystems." Science of the Total Environment. 806 (2), pp. 1-20. https://doi.org/10.1016/j.scitotenv.2021.150599
Hybrid deep learning method for a week-ahead evapotranspiration forecasting
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2022. "Hybrid deep learning method for a week-ahead evapotranspiration forecasting." Stochastic Environmental Research and Risk Assessment. 36 (3), pp. 831-849. https://doi.org/10.1007/s00477-021-02078-x
Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks
Ghimire, Sujan, Yaseen, Zaher Mundher, Farooque, Aitazaz A., Deo, Ravinesh C., Zhang, Ji and Tao, Xiaohui. 2021. "Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks." Scientific Reports. 11, pp. 1-26. https://doi.org/10.1038/s41598-021-96751-4
The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces
Prahl, Rosa E., Khan, Shahjahan and Deo, Ravinesh C.. 2021. "The role of internal transcribed spacer 2 secondary structures in classifying mycoparasitic Ampelomyces." PLoS One. 16 (6), pp. 1-28. https://doi.org/10.1371/journal.pone.0253772
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data
Ahmed, A. A. Masrur, Deo, Ravinesh C., Raj, Nawin, Ghahramani, Afshin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data." Remote Sensing. 13 (4), pp. 1-30. https://doi.org/10.3390/rs13040554
LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios
Ahmed, A. A. Masrur, Deo, Ravinesh C., Ghahramani, Afshin, Raj, Nawin, Feng, Qi, Yin, Zhenliang and Yang, Linshan. 2021. "LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios." Stochastic Environmental Research and Risk Assessment. 35, pp. 1851-1881. https://doi.org/10.1007/s00477-021-01969-3
A new framework for classification of multi-category hand grasps using EMG signals
Miften, Firas Sabar, Diykh, Mohammed, Abdulla, Shahab, Siuly, Siuly, Green, Jonathan H. and Deo, Ravinesh C.. 2021. "A new framework for classification of multi-category hand grasps using EMG signals." Artificial Intelligence in Medicine. 112, pp. 1-14. https://doi.org/10.1016/j.artmed.2020.102005
Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
Ahmed, A. A. Masrur, Deo, Ravinesh C., Feng, Qi, Ghahramani, Afshin, Raj, Nawin, Yin, Zhenliang and Yang, Linshan. 2021. "Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity." Journal of Hydrology. 599, pp. 1-23. https://doi.org/10.1016/j.jhydrol.2021.126350
Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models
Bayatvarkeshi, Maryam, Bhagat, Suraj Kumar, Mohammadi, Kourosh, Kisi, Ozgur, Farahani, M., Hasani, A., Deo, Ravinesh and Yaseen, Zaher Mundher. 2021. "Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models." Computers and Electronics in Agriculture. 185. https://doi.org/10.1016/j.compag.2021.106158
Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite
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/10.1080/15481603.2020.1853352
Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra, Parisi, Alfio and Raj, Nawin. 2020. "Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks." IEEE Access. 8, pp. 209503-209516. https://doi.org/10.1109/ACCESS.2020.3039002
MARS model for prediction of short- and long-term global solar radiation
Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Roy, Sanjiban Sekhar and Samui, Pijush (ed.) Predictive Modelling for Energy Management and Power Systems Engineering. United Kingdom. Elsevier. pp. 391-436
Developing reservoir evaporation predictive model for successful dam management
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/s00477-020-01918-6
Application of effective drought index for quantification of meteorological drought events: a case study in Australia
Deo, Ravinesh C., Byun, Hi-Ryong, Adamowski, Jan F. and Begum, Khaleda. 2017. "Application of effective drought index for quantification of meteorological drought events: a case study in Australia." Theoretical and Applied Climatology. 128 (1-2), pp. 359-379. https://doi.org/10.1007/s00704-015-1706-5
Classification of alcoholic EEG signals using a deep learning method
Farsi, Leila, Siuly, Siuly, Kabir, Enamul and Wang, Hua. 2020. "Classification of alcoholic EEG signals using a deep learning method." IEEE Sensors Journal. 21 (3), pp. 3552 - 3560. https://doi.org/10.1109/JSEN.2020.3026830
Feedback modelling of the impacts of drought: A case study in coffee production systems in Viet Nam
Pham, Yen, Reardon-Smith, Kathryn, Mushtaq, Shahbaz and Deo, Ravinesh C.. 2020. "Feedback modelling of the impacts of drought: A case study in coffee production systems in Viet Nam." Climate Risk Management. 30, pp. 1-17. https://doi.org/10.1016/j.crm.2020.100255
Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach
Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Li, Ya and Yaseen, Zaher Mundher. 2020. "Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach." Hydrological Sciences Journal. 65 (16), pp. 2693-2708. https://doi.org/10.1080/02626667.2020.1808219
Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji." Stochastic Environmental Research and Risk Assessment. 35 (7), pp. 1387-1402. https://doi.org/10.1007/s00477-020-01899-6
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space
Bargshady, Ghazal, Zhou, Xujuan, Deo, Ravinesh C., Soar, Jeffrey, Whittaker, Frank and Wang, Hua. 2020. "The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space." Applied Soft Computing. 97 (Part A), pp. 1-14. https://doi.org/10.1016/j.asoc.2020.106805
Predictive modelling of global solar radiation with artificial intelligence approaches using MODIS satellites and atmospheric reanalysis data for Australia
Ghimire, Sujan. 2019. Predictive modelling of global solar radiation with artificial intelligence approaches using MODIS satellites and atmospheric reanalysis data for Australia. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/9he0-h328
Finding an optimum set of roles in a CPAC model
Kabir, Enamul, Wang, Hua and Sun, Lili. 2019. "Finding an optimum set of roles in a CPAC model." 2019 International Conference on Networking and Network Applications (NaNA 2019). Daegu City, Korea 10 - 13 Oct 2019 Piscataway, United States. https://doi.org/10.1109/NaNA.2019.00014
Modeling wheat yield with data-intelligent algorithms: artificial neural network versus genetic programming and minimax probability machine regression
Ali, Mumtaz and Deo, Ravinesh C.. 2020. "Modeling wheat yield with data-intelligent algorithms: artificial neural network versus genetic programming and minimax probability machine regression." Samui, Pijush, Bui, Dieu Tien, Chakraborty, Subrata and Deo, Ravinesh C. (ed.) Handbook of probabilistic models. Oxford, United Kingdom. Elsevier. pp. 37-87
MARS model for prediction of short- and long-term global solar radiation
Balalla, Dilki T., Nguyen-Huy, Thong and Deo, Ravinesh. 2021. "MARS model for prediction of short- and long-term global solar radiation." Deo, Ravinesh, Samui, Pijush and Roy, Sanjiban Sekhar (ed.) Predictive modelling for energy management and power systems engineering. Amsterdam, Netherlands. Elsevier. pp. 391-436
Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm
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. 271-298
Hybrid 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. 191-232
Design 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. 115-142
Experimental 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/s00267-020-01339-9
Ensemble 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.2020.101954
A new framework for automatic detection of patients with mild cognitive impairment using resting-state EEG signals
Siuly, Siuly, Alcin, Omer Faruk, Kabir, Enamul, Sengur, Abdulkadir, Wang, Hua, Zhang, Yanchun and Whittaker, Frank. 2020. "A new framework for automatic detection of patients with mild cognitive impairment using resting-state EEG signals." IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28 (9), pp. 1966-1976. https://doi.org/10.1109/TNSRE.2020.3013429
Daily 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. 359-381
Artificial 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. 293-357
Spatial 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. 281-292
Intelligent 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. 151-169
Modulation 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. 127-150
Bayesian 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. 29-47
Intelligent 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.
Development of data intelligent models for electricity demand forecasting: case studies in the state of Queensland, Australia
Al-Musaylh, Mohanad Shakir Khalid. 2020. Development of data intelligent models for electricity demand forecasting: case studies in the state of Queensland, Australia. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z7tb-4754
Near 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.2020.110003
Electrical 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/en13092307
Near 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/en13143517
Adaptive 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.2020.113676
Random 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.2020.012
Stormwater 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/s11356-020-09220-2
Spatial 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/ab9467
Integrative 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/10.1080/02626667.2020.1734813
Hybridized 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.2020.117320
Global 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.2020.2965303
Development 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/s00500-019-04648-2
Causality 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.2020.136587
Mixing 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.2019.108532
Enhanced 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.2020.113305
A general extensible learning approach for multi-disease recommendations in a telehealth environment
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
A 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.2019.135934
Machine 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.2019.134230
A study on securing software defined networks
Ur Rasool, Raihan, Wang, Hua, Rafique, Wajid, Yong, Jianming and Cao, Jinli. 2017. "A study on securing software defined networks." 18th International Conference on Web Information Systems Engineering - WISE 2017. Puschino, Russia 07 - 11 Oct 2017 Switzerland. https://doi.org/10.1007/978-3-319-68786-5
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.6435
Exploring 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.2019.109570
Capability 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.2019.134656
Regional 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.2019.104345
Modern 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.2020.3010938
Correcting 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/w11102138
Partitioning 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.2019.124212
Probabilistic 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. 203-227
Monthly 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. 89-105
Development 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. 141-178
Soil 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/s11368-019-02295-6
Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains
Qin, Yanyan, Adamowski, Jan F., Deo, Ravinesh C., Hu, Zeyong, Cao, Jianjun, Zhu, Meng and Feng, Qi. 2019. "Controlling factors of plant community composition with respect to the slope aspect gradient in the Qilian Mountains." Ecosphere. 10 (9), pp. 1-13. https://doi.org/10.1002/ecs2.2851
Grassland degradation on the Qinghai-Tibetan Plateau: reevaluation of causative factors
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.2019.06.001
Fractal 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.2019.101611
The 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.2019.06.061
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
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-y
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
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.2019.109247
Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Ghimire, Sujan, Deo, Ravinesh C., Raj, Nawin and Mi, Jianchun. 2019. "Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms." Applied Energy. 253, pp. 1-20. https://doi.org/10.1016/j.apenergy.2019.113541
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm
Abdulla, Shahab, Diykh, Mohammed, Lafta, Raid Luaibi, Saleh, Khalid and Deo, Ravinesh C.. 2019. "Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm." Expert Systems with Applications. 138, pp. 1-15. https://doi.org/10.1016/j.eswa.2019.07.007
Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia
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.2019.109293
A new design of mental state classification for subject independent BCI systems
Joadder, Md. A. M., Siuly, S., Kabir, E., Wang, H. and Zhang, Y.. 2019. "A new design of mental state classification for subject independent BCI systems." IRBM. 40 (5), pp. 297-305. https://doi.org/10.1016/j.irbm.2019.05.004
Designing 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/en12071365
Incorporating 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/10.1080/02626667.2019.1632460
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
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.2019.06.032
Deep 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/en12122407
Situations, 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.2018.057
Suitable 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.2019.05.008
Environmental 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.2019.03.079
Land 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.2019.03.496
Weekly 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.2019.02.012
Copula 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/s00477-019-01662-6
Effects 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-z
The 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.2019.01.029
PMT: 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.2019.02.017
Universally 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.2019.01.009
Two-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.2018.12.060
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/s11269-019-02265-0
Long-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.6037
Development 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/s11269-019-02253-4
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
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.2018.11.069
The 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.2018.11.066
Direct 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.2018.09.030
Global 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.2019.01.158
Future 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/w9110880
The 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/w9030159
A novel statistical technique for intrusion detection systems
Kabir, Enamul, Hu, Jiankun, Wang, Hua and Zhou, Guangping. 2018. "A novel statistical technique for intrusion detection systems." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 79, pp. 303-318. https://doi.org/10.1016/j.future.2017.01.029
Cloud service description model: an extension of USDL for cloud services
Sun, Le, Ma, Jiangan, Wang, Hua, Zhang, Yanchun and Yong, Jianming. 2018. "Cloud service description model: an extension of USDL for cloud services." IEEE Transactions on Services Computing. 11 (2), pp. 354-368. https://doi.org/10.1109/TSC.2015.2474386
Particle 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/20186408001
Effects 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/s11368-018-2203-0
A 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.2019.8821779
Effects 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/w10121710
Assessment 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/10.1080/02757540.2018.1554060
Design 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/s00477-018-1630-1
Monitoring 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/s41598-018-34550-0
Artificial 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.2018.10.014
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.2018.09.012
Quantifying 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/s00704-018-2657-4
Shear 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.2018.09.074
Adaptive 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/fes3.151
Cotton 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.2018.09.002
Weekly 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/s00704-018-2636-9
A 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/s41742-018-0143-6
Can 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.2018.08.003
Copula-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.2018.07.002
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
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/s00477-018-1585-2
Mapping 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.2018.06.016
Multi-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.2018.07.013
A 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/s10661-018-6806-0
Multi-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.2018.07.005
Influence 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.2018.07.002
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
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.2018.08.221
Optimization 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. 328-359
Hybrid 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. 121-139
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
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. 446-464
Survey 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.2018.07.008
Soil 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.2018.05.035
Modeling 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.2018.05.006
Non-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.2018.05.030
Drought 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. 151-174
Drought 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. 177-198
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.2018.05.012
An analysis system detecting epileptic seizure from EEG
Kabir, Enamul and Wang, Hua. 2017. "An analysis system detecting epileptic seizure from EEG." 2017 Young Statisticians Conference: Modelling Our Future. Tweed Heads, Australia 26 - 27 Sep 2017 Australia.
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
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.2018.05.003
An 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.2018.02.024
Wavelet 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.2016.396
Ensemble 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.2018.03.021
Comparison 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.2017.07.027
Spatio-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/s11069-018-3326-8
A 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/s11270-018-3715-3
Computational 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/en11030596
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
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.2018.02.140
Application 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/s11269-018-1909-5
Multi-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/s13593-017-0482-2
Short-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.2017.11.002
Mapping 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.2017.11.185
Investigating 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.1943-5584.0001593
An 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.2017.10.076
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
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.2017.09.078
Identifying 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.11098
Reservoir 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/s00704-017-2292-5
Implementation 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/s00477-017-1474-0
Pan 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/s00704-017-2244-0
Impact 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.12387
Effects 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.2017.236
Trend 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/su9050756
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
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.1943-5584.0001506
Statistical 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-y
An 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.2017.11.182
Physiological 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-z
Carbon 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/f8100379
Comparative 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/s11269-017-1811-6
Predicting 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.2017.09.004
Novel 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.2017.09.007
Rainfall 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/s11269-017-1797-0
Synthetic 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/10.1080/01431161.2017.1375573
Separation 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/10.1155/2017/6310401
Changes 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/s00704-017-2194-6
Mapping 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-y
Copula-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.2017.06.010
Input 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.2017.06.014
Very 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.2017.01.035
Association 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/10.1080/02757540.2017.1287904
Forecasting 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.2017.01.114
A computer aided analysis scheme for detecting epileptic seizure from EEG data
Kabir, Enamul, Siuly, Siuly, Cao, Jinli and Wang, Hua. 2018. "A computer aided analysis scheme for detecting epileptic seizure from EEG data." International Journal of Computational Intelligence Systems. 11, pp. 663-671. https://doi.org/10.2991/ijcis.11.1.51
Cluster-based scheduling algorithm for periodic XML data broadcast in wireless environments
Qin, Yongrui, Wang, Hua and Sun, Lili. 2011. "Cluster-based scheduling algorithm for periodic XML data broadcast in wireless environments ." Zhang, Yanchun (ed.) 25th IEEE International Conference on Advanced Information Networking and Applications (WAINA 2011). Biopolis, Singapore 22 - 25 Mar 2011 Los Alamitos, CA. United States. https://doi.org/10.1109/WAINA.2011.60
Computational 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/10.1080/19942060.2018.1452296
Re-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 Hobart, Tasmania, Australia. Modelling and Simulation Society of Australia and New Zealand .
Stream-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.2016.09.035
Quantitative 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/s13143-016-0012-1
On secure wireless communications for IoT under eavesdropper collusion
Zhang, Yuanyu, Shen, Yulong, Wang, Hua, Yong, Jianming and Jiang, Xiaohong. 2016. "On secure wireless communications for IoT under eavesdropper collusion." IEEE Transactions on Automation Science and Engineering. 13 (3), pp. 1281-1293. https://doi.org/10.1109/TASE.2015.2497663
An 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/s10661-016-5094-9
Forecasting 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-z
Drought 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.2016.10.004
A 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.2016.01.130
Editorial
Wang, Hua and Jia, Xiaohua. 2012. "Editorial." Journal of Software. 7 (11), pp. 2387-2388.
Synthesis and photoluminescence of nano/ microstructured Y0.95Eu0.05PO4 via hydrothermal process
Bao, Jinrong, Lu, Yue, Li, Wenxian, Wang, Hua and Yu, Ranbo. 2014. "Synthesis and photoluminescence of nano/ microstructured Y0.95Eu0.05PO4 via hydrothermal process." Optoelectronics and Advanced Materials, Rapid Communications. 8 (1-2), pp. 18-22.
Positive 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.2014.6846890
Application 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.2016.7848588
Access control management with provenance in healthcare environments
Ma, Taotao, Wang, Hua, Cao, Jinli, Yong, Jianming and Zhao, Yueai. 2016. "Access control management with provenance in healthcare environments." 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCDW 2016). Nanchang, China 04 - 06 May 2016 United States. https://doi.org/10.1109/CSCWD.2016.7566048
Microaggregation sorting framework for k-anonymity statistical disclosure control in cloud computing
Kabir, Md Enamul, Mahmood, Abdun Naser, Mustafa, Abdul K. and Wang, Hua. 2020. "Microaggregation sorting framework for k-anonymity statistical disclosure control in cloud computing." IEEE Transactions on Cloud Computing. 8 (2), pp. 408-417. https://doi.org/10.1109/TCC.2015.2469649
Causal dependencies of provenance data in healthcare environment
Ma, Taotao, Yong, Jianming, Wang, Hua and Zhao, Yueai. 2015. "Causal dependencies of provenance data in healthcare environment." Fortino, Giancarlo, Shen, Weiming, Barthes, Jean-Paul, Luo, Junzhou, Li, Wenfeng, Ochoa, Sergio, Abel, Marie-Helene, Guerrieri, Antonio and Ramos, Milton (ed.) 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2015). Calabria, Italy 06 - 08 May 2015 https://doi.org/10.1109/CSCWD.2015.7231033
Prediction 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.2015.87
Statistical 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.2015.75
Efficient 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.2015.96
Monthly 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/s00704-015-1480-4
Projection 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/s11069-015-1987-0
Estimation 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-y
Exploring sampling in the detection of multicategory EEG signals
Siuly, Siuly, Kabir, Enamul, Wang, Hua and Zhang, Yanchun. 2015. "Exploring sampling in the detection of multicategory EEG signals." Computational and Mathematical Methods in Medicine. 2015. https://doi.org/10.1155/2015/576437
Numerical 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.
On 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.2015.2483503
On 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/s11269-015-1046-3
Finding 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. 67-81
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
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.2015.03.018
Diagnosis 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.
A hybrid particle swarm evolutionary algorithm for constrained multi-objective optimization
Wei, Jingxuan, Wang, Yuping and Wang, Hua. 2010. "A hybrid particle swarm evolutionary algorithm for constrained multi-objective optimization." Computing and Informatics. 29 (5), pp. 701-708.
Application 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.2014.10.016
Drought 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.2014.10.043
Influence 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.2014.06.021
Telemedicine 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_20
SIMS: 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_43
Effectively delivering XML information in periodic broadcast environments
Qin, Yongrui, Sheng, Quan Z. and Wang, Hua. 2013. "Effectively delivering XML information in periodic broadcast environments ." Decker, Hendrik, Lhotska, Lenka, Link, Sebastian, Basl, Josef and Tjoa, A. Min (ed.) 24th International Conference on Database and Expert Systems Applications (DEXA 2013). Prague, Czech Republic 26 - 29 Aug 2013 Berlin, Germany. https://doi.org/10.1007/978-3-642-40285-2_16
Minimising 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_11
SODIT: 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.2013.6544945
Finding 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.
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/s11280-013-0218-4
A 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.2013.6581012
Comparative 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.
Effectively delivering XML information in periodic broadcast environments
Qin, Yongrui, Sheng, Quan Z. and Wang, Hua. 2012. Effectively delivering XML information in periodic broadcast environments. Adelaide, Australia. University of Adelaide.
A role-involved purpose-based access control model
Kabir, Md Enamul, Wang, Hua and Bertino, Elisa. 2012. "A role-involved purpose-based access control model." Information Systems Frontiers: a journal of research and innovation. 14 (3), pp. 809-822. https://doi.org/10.1007/s10796-011-9305-1
A purpose-based access control in native XML databases
Sun, Lili and Wang, Hua. 2012. "A purpose-based access control in native XML databases." Concurrency and Computation: Practice and Experience. 24 (10), pp. 1154-1166. https://doi.org/10.1002/cpe.1717
Microdata protection method through microaggregation: a systematic approach
Kabir, Md Enamul and Wang, Hua. 2012. "Microdata protection method through microaggregation: a systematic approach." Journal of Software. 7 (11), pp. 2415-2422. https://doi.org/10.4304/jsw.7.11.2415-2423
Unsupervised 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_40
A 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_8
Satisfying privacy requirements before data anonymization
Sun, Xiaoxun, Wang, Hua, Li, Jiuyong and Zhang, Yanchun. 2012. "Satisfying privacy requirements before data anonymization ." The Computer Journal. 55 (4), pp. 422-437. https://doi.org/10.1093/comjnl/bxr028
An approximate microaggregation approach for microdata protection
Sun, Xiaoxun, Wang, Hua, Li, Jiuyong and Zhang, Yanchun. 2012. "An approximate microaggregation approach for microdata protection." Expert Systems with Applications. 39 (2), pp. 2211-2219. https://doi.org/10.1016/j.eswa.2011.04.223
On the identity anonymization of high-dimensional rating data
Sun, Xiaoxun, Wang, Hua and Zhang, Yanchun. 2012. "On the identity anonymization of high-dimensional rating data." Concurrency and Computation: Practice and Experience. 24 (10), pp. 1108-1122. https://doi.org/10.1002/cpe.1724
Purpose based access control for privacy protection in e-healthcare services
Sun, Lili, Wang, Hua, Soar, Jeffrey and Rong, Chunming. 2012. "Purpose based access control for privacy protection in e-healthcare services." Journal of Software. 7 (11), pp. 2443-2449. https://doi.org/10.4304/jsw.7.11.2443-2449
Modelling 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.
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), pp. 015115-1. https://doi.org/10.1063/1.4776782
Data privacy against composition attack
Baig, Muzammil M., Li, Jiuyong, Liu, Jixue, Ding, Xiaofeng and Wang, Hua. 2012. "Data privacy against composition attack." Lee, Sang-Goo, Peng, Zhiyong, Zhou, Xiaofang, Moon, Yang-Sae, Unland, Rainer and Yoo, Jaesoo (ed.) 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012). Busan, South Korea 15 - 18 Apr 2012 Berlin, Germany. https://doi.org/10.1007/978-3-642-29038-1_24
Multi-level delegations with trust management in access control systems
Li, Min, Sun, Xiaoxun, Wang, Hua and Zhang, Yanchun. 2012. "Multi-level delegations with trust management in access control systems." Journal of Intelligent Information Systems. 39 (3), pp. 611-626. https://doi.org/10.1007/s10844-012-0205-8
Semantic access control for cloud computing based on e-healthcare
Sun, Lili, Wang, Hua, Yong, Jianming and Wu, Guoxin. 2012. "Semantic access control for cloud computing based on e-healthcare ." Gao, Liang, Shen, Weiming, Barthes, Jean-Paul and Luo, Junzhou (ed.) CSCWD 2012: 16th International Conference on Computer Supported Cooperative Work in Design. Wuhan, China 23 - 25 May 2012 Piscataway, NJ. United States. https://doi.org/10.1109/CSCWD.2012.6221866
Cloning for privacy protection in multiple independent data publications
Baig, Muzammil M., Li, Jiuyong, Liu, Jixue and Wang, Hua. 2011. "Cloning for privacy protection in multiple independent data publications." Berendt, Bettina, de Vries, Arjen, Fan, Wenfei and Macdonald, Craig (ed.) CIKM 2011: 20th ACM Conference on Information and Knowledge Management . Glasgow, United Kingdom 24 - 28 Oct 2011 New York, NY, USA. https://doi.org/10.1145/2063576.2063705
Effective scheduling algorithm for on-demand XML data broadcasts in wireless environments
Qin, Yongrui, Wang, Hua and Xiao, Jitian. 2011. "Effective scheduling algorithm for on-demand XML data broadcasts in wireless environments." 22nd Australasian Database Conference (ADC 2011). Perth, Australia 17 - 20 Jan 2011 Canberra, 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.2011.34
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_9
Access control and authorization for protecting disseminative information in E-learning workflow
Sun, Lili and Wang, Hua. 2011. "Access control and authorization for protecting disseminative information in E-learning workflow." Concurrency and Computation: Practice and Experience. 23 (16), pp. 2034-2042. https://doi.org/10.1002/cpe.1748
Publishing anonymous survey rating data
Sun, Xiaoxun, Wang, Hua, Li, Jiuyong and Pei, Jian. 2011. "Publishing anonymous survey rating data." Data Mining and Knowledge Discovery. 23 (3), pp. 379-406. https://doi.org/10.1007/s10618-010-0208-4
A conditional purpose-based access control model with dynamic roles
Kabir, Md Enamul, Wang, Hua and Bertino, Elisa. 2011. "A conditional purpose-based access control model with dynamic roles." Expert Systems with Applications. 38 (3), pp. 1482-1489. https://doi.org/10.1016/j.eswa.2010.07.057
Injecting purpose and trust into data anonymisation
Sun, Xiaoxun, Wang, Hua, Li, Jiuyong and Zhang, Yanchun. 2011. "Injecting purpose and trust into data anonymisation." Computers and Security. 30 (5), pp. 332-345. https://doi.org/10.1016/j.cose.2011.05.005
Extended k-anonymity models against sensitive attribute disclosure
Sun, Xiaoxun, Sun, Lili and Wang, Hua. 2011. "Extended k-anonymity models against sensitive attribute disclosure." Computer Communications. 34 (4), pp. 526-535. https://doi.org/10.1016/j.comcom.2010.03.020
Efficient systematic clustering method for k-anonymization
Kabir, Md Enamul, Wang, Hua and Bertino, Elisa. 2011. "Efficient systematic clustering method for k-anonymization." Acta Informatica. 48 (1), pp. 51-66. https://doi.org/10.1007/s00236-010-0131-6
A family of enhanced (L,alpha) diversity models for privacy preserving data publishing
Sun, Xiaoxun, Li, Min and Wang, Hua. 2011. "A family of enhanced (L,alpha) diversity models for privacy preserving data publishing." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 27 (3), pp. 348-356. https://doi.org/10.1016/j.future.2010.07.007
On 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.216
A purpose based usage access control model for e-healthcare services
Sun, Lili and Wang, Hua. 2011. "A purpose based usage access control model for e-healthcare services." 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.2011.6053928
A model for regional innovation and information sharing to reduce falls amongst the elderly through intelligent technologies
Soar, Jeffrey, Wang, Hua and Su, Ying. 2011. "A model for regional innovation and information sharing to reduce falls amongst the elderly through intelligent technologies." Su, Ying and Al-Hakim, Latif (ed.) COINFO 2011: 6th International Conference on Cooperation and Promotion of Information Resources in Science and Technology: Coordinative Innovation and Open Sharing. Hangzhou, China 12 - 14 Nov 2011 Irvine, CA, United States.
Privacy 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/s11280-011-0114-8
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.
DISTRO: 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_54
On 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_14
M-service and its framework
Sun, Lili, Li, Yan and Wang, Hua. 2005. "M-service and its framework." 11th Asia-Pacific Conference on Communications. Perth, Australia 03 - 05 Oct 2005 United States. https://doi.org/10.1109/APCC.2005.1554180
A flexible electronic payment scheme and its management
Wang, Hua, Cao, Jinli, Zhang, Yanchun and Huang, Xiaodi. 2004. "A flexible electronic payment scheme and its management ." Information. 7 (2), pp. 187-196.
Achieving p-sensitive k-anonymity via anatomy
Sun, Xiaoxun, Wang, Hua, Li, Jiuyong and Ross, David. 2009. "Achieving p-sensitive k-anonymity via anatomy." ICEBE 2009: IEEE International Conference on e-Business Engineering . Macau, China 21 - 23 Oct 2009 United States. https://doi.org/10.1109/ICEBE.2009.34
Extended K-anonymity models against attribute disclosure
Sun, Xiaoxun, Wang, Hua and Sun, Lili. 2009. "Extended K-anonymity models against attribute disclosure." NSS 2009: 3rd International Conference on Network and System Security. Gold Coast, Australia 19 - 21 Oct 2009 United States. https://doi.org/10.1109/NSS.2009.23
Trust-based access control for privacy protection in collaborative environment
Li, Min, Wang, Hua and Ross, David. 2009. "Trust-based access control for privacy protection in collaborative environment." ICEBE 2009: IEEE International Conference on e-Business Engineering . Macau, China 21 - 23 Oct 2009 United States. https://doi.org/10.1109/ICEBE.2009.66
Privacy preserving on radio frequency identification systems
Wang, Hua, Sun, Lili, Yong, Jianming and Zhang, Yongbing. 2009. "Privacy preserving on radio frequency identification systems." CSCWD 2009: 13th International Conference on Computer Supported Cooperative Work in Design. Santiago, Chile 22 - 24 Apr 2009 United States. https://doi.org/10.1109/CSCWD.2009.4968136
Delegating revocations and authorizations in collaborative business environments
Wang, Hua, Cao, Jinli and Zhang, Yanchun. 2009. "Delegating revocations and authorizations in collaborative business environments." Information Systems Frontiers: a journal of research and innovation. 11 (3), pp. 293-305. https://doi.org/10.1007/s10796-008-9091-6
Effective collaboration with information sharing in virtual universities
Wang, Hua, Zhang, Yanchun and Cao, Jinli. 2009. "Effective collaboration with information sharing in virtual universities." IEEE Transactions on Knowledge and Data Engineering. 21 (6), pp. 840-853. https://doi.org/10.1109/TKDE.2008.132
Protecting disseminative information in e-learning
Sun, Lili, Wang, Hua and Li, Yan. 2008. "Protecting disseminative information in e-learning." Leung, Howard, Li, Frederick, Lau, Rynson and Li, Qing (ed.) ICWL 2007: 6th International Conference on Web-Based Learning . Edinburgh, United Kingdom 15 - 17 Aug 2007 Germany. Springer. https://doi.org/10.1007/978-3-540-78139-4_49
Secure and Efficient Information Sharing in Multi-university E-Learning Environments
Wang, Hua and Li, Qing. 2008. "Secure and Efficient Information Sharing in Multi-university E-Learning Environments." Leung, Howard, Li, Frederick, Lau, Rynson and Li, Qing (ed.) ICWL 2007: 6th International Conference on Web-Based Learning . Edinburgh, United Kingdom 15 - 17 Aug 2007 Germany. Springer. https://doi.org/10.1007/978-3-540-78139-4_48
L-diversity based dynamic update for large time-evolving microdata
Sun, Xiaoxun, Wang, Hua and Li, Jiuyong. 2008. "L-diversity based dynamic update for large time-evolving microdata." Wobcke, Wayne and Zhang, Mengjie (ed.) AI 2008: 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence . Auckland, New Zealand 01 - 05 Dec 2008 Germany. Springer. https://doi.org/10.1007/978-3-540-89378-3_47
Authorization approaches for advanced permission-role assignments
Wang, Hua, Yong, Jianming, Li, Jiuyong and Peng, Min. 2008. "Authorization approaches for advanced permission-role assignments." Shen, Weiming, Zheng, Qinghua, Luo, Junzhou, Yong, Jianming, Duan, Zhenhua and Tian, Feng (ed.) CSCWD 2008: 12th International Conference on Computer Supported Cooperative Work in Design . Xi'an, China 16 - 18 Apr 2008 United States. https://doi.org/10.1109/CSCWD.2008.4536994
Optimal privacy-aware path in hippocratic databases
Li, Min, Sun, Xiaoxun, Wang, Hua and Zhang, Yanchun. 2009. "Optimal privacy-aware path in hippocratic databases." Zhou, X. (ed.) DASFAA 2009: 14th International Conference on Database Systems for Advanced Applications. Brisbane, Australia 21 - 23 Apr 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-00887-0_39
Portable devices of security and privacy preservation for e-learning
Yong, Jianming, Li, Jiuyong and Wang, Hua. 2008. "Portable devices of security and privacy preservation for e-learning." Shen, Weiming, Zheng, Qinghua, Luo, Junzhou, Yong, Jianming, Duan, Zhenhua and Tian, Feng (ed.) CSCWD 2008: 12th International Conference on Computer Supported Cooperative Work in Design . Xi'an, China 16 - 18 Apr 2008 China. https://doi.org/10.1109/CSCWD.2008.4537121
Access control management for ubiquitous computing
Wang, Hua, Zhang, Yanchun and Cao, Jinli. 2008. "Access control management for ubiquitous computing." Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 24 (8), pp. 870-878. https://doi.org/10.1016/j.future.2007.07.011
Robustness analysis of diversified ensemble decision tree algorithms for microarray data classification
Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant and Wang, Li-Zhen. 2008. "Robustness analysis of diversified ensemble decision tree algorithms for microarray data classification." ICMLC 2008: 7th International Conference on Machine Learning and Cybernetics. Kunming, China 12 - 15 Jul 2008 United States. https://doi.org/10.1109/ICMLC.2008.4620389
ABDM: an extended flexible delegation model in RBAC
Li, Min and Wang, Hua. 2008. "ABDM: an extended flexible delegation model in RBAC." Wu, Qiang and He, Xiangjian (ed.) 8th IEEE International Conference on Computer and Information Technology. Sydney, Australia 08 - 11 Jul 2008 United States. https://doi.org/10.1109/CIT.2008.4594707
(p+, α)-sensitive k-anonymity: a new enhanced privacy protection model
Sun, Xiaoxun, Wang, Hua, Truta, Traian Marius, Li, Jiuyong and Li, Ping. 2008. "(p+, α)-sensitive k-anonymity: a new enhanced privacy protection model." Wu, Qiang (ed.) 8th IEEE International Conference on Computer and Information Technology. Sydney, Australia 08 - 11 Jul 2008 United States. https://doi.org/10.1109/CIT.2008.4594650
Advanced permission-role relationship in role-based access control
Li, Min, Wang, Hua, Plank, Ashley and Yong, Jianming. 2008. "Advanced permission-role relationship in role-based access control." Mu, Yi, Susilo, Willy and Seberry, Jennifer (ed.) ACISP 2008: 13th Australasian Conference on Information Security and Privacy . Wollongong, Australia 07 - 09 Jul 2008 Germany. Springer. https://doi.org/10.1007/978-3-540-70500-0-29
On the complexity of restricted k-anonymity problem
Sun, Xiaoxun, Wang, Hua and Li, Jiuyong. 2008. "On the complexity of restricted k-anonymity problem." Yanchun, Zhang (ed.) 10th Asia-Pacific Web Conference (APWeb 2008). Shenyang, China 26 - 28 Apr 2008 Germany. Springer. https://doi.org/10.1007/978-3-540-78849-2_30
Delegating revocations and authorizations
Wang, Hua and Cao, Jinli. 2008. "Delegating revocations and authorizations." ter Hofstede, A., Benatallah, B. and Paik, H. Y. (ed.) 5th International Conference on Business Process Management (BPM 2007) . Brisbane, Australia 24 - 28 Sep 2007 Germany. Springer. https://doi.org/10.1007/978-3-540-78238-4_29
A global ticket-based access scheme for mobile users
Wang, Hua, Cao, Jinli, Zhang, Yanchun and Kambayahsi, Yahiko. 2004. "A global ticket-based access scheme for mobile users." Information Systems Frontiers: a journal of research and innovation. 6 (1), pp. 35-46. https://doi.org/10.1023/B:ISFI.0000015873.35795.5e
Achieving secure and flexible M-services through tickets
Wang, Hua, Zhang, Yanchun, Cao, Jinli and Varadharajan, Vijay. 2003. "Achieving secure and flexible M-services through tickets." Systems, Man, and Cybernetics. Part A. 33 (6), pp. 697-708. https://doi.org/10.1109/TSMCA.2003.819917
A flexible payment scheme and its role-based access control
Wang, Hua, Cao, Jinli and Zhang, Yanchun. 2005. "A flexible payment scheme and its role-based access control." IEEE Transactions on Knowledge and Data Engineering. 17 (3), pp. 425-436. https://doi.org/10.1109/TKDE.2005.35
Role-based delegation with negative authorization
Wang, Hua, Cao, Jinli and Ross, David. 2006. "Role-based delegation with negative authorization." Zhou, X., Li, Jianzhong, Shen, Heng Tao, Kitsuregawa, Masaru and Zhang, Yanchun (ed.) 8th Asia-Pacific Web Conference (APWeb 2006): Frontiers of WWW Research and Development. Harbin, China 16 - 18 Jan 2006 Germany. Springer. https://doi.org/10.1007/11610113_28
Combined gene selection methods for microarray data analysis
Hu, Hong, Li, Jiuyong, Wang, Hua and Daggard, Grant. 2006. "Combined gene selection methods for microarray data analysis." Gabrys, Bogdan, Howlett, Robert J. and Jain, Lakhmi C. (ed.) 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2006). Bournemouth, United Kingdom 09 - 11 Oct 2006 Germany. Springer. https://doi.org/10.1007/11892960_117
Towards secure XML document with usage control
Cao, Jinli, Sun, Lili and Wang, Hua. 2005. "Towards secure XML document with usage control." Zhang, Yanchun, Tanaka, Katsumi, Yu, Jeffrey Xu, Wang, Shan and Li, Minglu (ed.) 7th Asia-Pacific Web Conference: Web Technologies Research and Development (APWeb 2005). Shanghai, China 29 Mar - 01 Apr 2005 Germany. Springer. https://doi.org/10.1007/978-3-540-31849-1_30
A framework for role-based group delegation in distributed environments
Wang, Hua, Li, Jiuyong, Addie, Ron, Dekeyser, Stijn and Watson, Richard. 2006. "A framework for role-based group delegation in distributed environments." Estivill-Castro, Vladimir and Dobbie, Gillian (ed.) 29th Australasian Computer Science Conference (ACSC 2006). Hobart, Australia 16 - 19 Jan 2006 Australia.
Climatology 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/10.1029/2007GL031524
Formal authorization approaches for permission-role assignments using relational algebra operations
Wang, Hua, Zhang, Yanchun and Cao, Jinli. 2003. "Formal authorization approaches for permission-role assignments using relational algebra operations." Schewe, Klaus-Dieter and Zhou, Xiaofang (ed.) 14th Australasian Database Conference 2003: Database Technologies (ADC2003). Adelaide, Australia 04 - 07 Feb 2003 Australia.
A flexible payment scheme and its permission-role assignment
Wang, Hua, Cao, Jinli and Zhang, Yanchun. 2003. "A flexible payment scheme and its permission-role assignment." Oudshoorn, Michael J. (ed.) 26th Australasian Computer Science Conference (ACSC2003). Adelaide, Australia 04 - 07 Feb 2003 Darlinghurst, Australia.
Specifying role-based access constraints with object constraint language
Wang, Hua, Zhang, Yanchun, Cao, Jinli and Yang, Jian. 2004. "Specifying role-based access constraints with object constraint language." Yu, Jeffrey Xu, Lin, Xuemin, Lu, Hongjun and Zhang, Yanchun (ed.) 6th Asia-Pacific Web Conference: Advanced Web Technologies and Applications (APWeb 2004). Hangzhou, China 14 - 17 Apr 2004 Berlin, Germany. Springer.
A new blind signature for electronic commerce
Wang, Hua and Addie, Ron. 2004. "A new blind signature for electronic commerce." 3rd International Conference on Information (INFO'2004). Tokyo, Japan 2004
Validating privacy requirements in large survey rating data
Sun, Xiaoxun, Wang, Hua and Li, Jiuyong. 2011. "Validating privacy requirements in large survey rating data." Bessis, Nik and Xhafa, Fatos (ed.) Next generation data technologies for collective computational intelligence. Berlin, Germany. Springer. pp. 445-469
Microdata protection method through microaggregation: a median-based approach
Kabir, Md Enamul and Wang, Hua. 2011. "Microdata protection method through microaggregation: a median-based approach." Information Security Journal: a Global Perspective. 20 (1), pp. 1-8. https://doi.org/10.1080/19393555.2010.515288
Purpose-based access control policies and conflicting analysis
Wang, Hua, Sun, Lili and Varadharajan, Vijay. 2010. "Purpose-based access control policies and conflicting analysis." Rannenberg, Kai, Varadharajan, Vijay and Weber, Christian (ed.) SEC 2010: Security and Privacy: Silver Linings in the Cloud. Brisbane, Australia 20 - 23 Sep 2010 Germany. https://doi.org/10.1007/978-3-642-15257-3_20
Specifying usage control model with object constraint language
Li, Min and Wang, Hua. 2010. "Specifying usage control model with object constraint language." 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.2010.10
Systematic clustering-based microaggregation for statistical disclosure control
Kabir, Md Enamul and Wang, Hua. 2010. "Systematic clustering-based microaggregation for statistical disclosure control." NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Washington, DC, USA. https://doi.org/10.1109/NSS.2010.66
Impacts 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/10.1175/2009BAMS2769.1
Detecting 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/s00500-010-0575-1
On 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.
Satisfying privacy requirements: one step before anonymization
Sun, Xiaoxun, Wang, Hua and Li, Jiuyong. 2010. "Satisfying privacy requirements: one step before anonymization." Zaki, Mohammed Javeed, Yu, Jeffrey Xu, Ravindran, B. and Pudi, Vikram (ed.) 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010). Hyderabad, India 21 - 24 Jun 2010 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-13657-3_21
A pairwise systematic microaggregation for statistical disclosure control
Kabir, Md Enamul, Wang, Hua and Zhang, Yanchun. 2010. "A pairwise systematic microaggregation for statistical disclosure control." Webb, Geoffrey I., Liu, Bing, Zhang, Chengqi, Gunopulos, Dimitrios and Wu, Xindong (ed.) 10th IEEE International Conference on Data Mining (ICDM 2010). Sydney, Australia 14 - 17 Dec 2010 Los Alamitos, CA. United States. https://doi.org/10.1109/ICDM.2010.111
A conditional role-involved purpose-based access control model
Kabir, Md Enamul, Wang, Hua and Bertino, Elisa. 2011. "A conditional role-involved purpose-based access control model." Journal of Organizational Computing and Electronic Commerce. 21 (1), pp. 71-91. https://doi.org/10.1080/10919392.2011.541007
Access control method with XML databases
Sun, Lili, Li, Yan and Wang, Hua. 2011. "Access control method with XML databases." Wang, John (ed.) Information systems and new applications in the service sector: models and methods. Hershey, PA, USA. IGI Global. pp. 227-239
Trust-involved access control in collaborative open social networks
Wang, Hua and Sun, Lili. 2010. "Trust-involved access control in collaborative open social networks." 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.2010.13
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.659
A purpose based usage access control model
Sun, Lili and Wang, Hua. 2010. "A purpose based usage access control model." International Journal of Computer and Information Engineering. 4 (1), pp. 44-51.
Privacy protection for genomic data: current techniques and challenges
Baig, Muzammil M., Li, Jiuyong, Liu, Jixue, Wang, Hua and Wang, Junhu. 2010. "Privacy protection for genomic data: current techniques and challenges." Ras, Zbigniew W. and Tsay, Li-Shang (ed.) Advances in intelligent information systems. Berlin, Germany. Springer. pp. 175-193
A purpose based access control in XML databases system
Sun, Lili, Wang, Hua, Jururajin, Raj and Sriprakash, Sri. 2010. "A purpose based access control in XML databases system." 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. USA. https://doi.org/10.1109/NSS.2010.28
Towards identify anonymization in large survey rating data
Sun, Xiaoxun and Wang, Hua. 2010. "Towards identify anonymization in large survey rating data." 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.2010.11
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.
Systematic clustering method for l-diversity model
Kabir, Md Enamul, Wang, Hua, Bertino, Elisa and Chi, Yunxiang. 2010. "Systematic clustering method for l-diversity model." Shen, Heng Tao and Bouguettaya, Athman (ed.) ADC 2010: 21st Australasian Conference on Database Technologies. Brisbane, Australia 18 - 22 Jan 2010 Sydney, Australia.
Microdata protection through approximate microaggregation
Sun, Xiaoxun, Wang, Hua and Li, Jiuyong. 2009. "Microdata protection through approximate microaggregation." Mans, Bernard (ed.) 32nd Australasian Computer Science Conference (ACSC 2009). Wellington, New Zealand 19 - 23 Jan 2009 Adelaide, Australia.
Privacy-aware access control with generalization boundaries
Li, Min, Wang, Hua and Plank, Ashley. 2009. "Privacy-aware access control with generalization boundaries." Mans, Bernard (ed.) 32nd Australasian Computer Science Conference (ACSC 2009). Wellington, New Zealand 19 - 23 Jan 2009 Sydney, Australia.
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.x
Impact 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/10.1029/2009GL037666
Injecting purpose and trust into data anonymisation
Sun, Xiaoxun, Wang, Hua and Li, Jiuyong. 2009. "Injecting purpose and trust into data anonymisation." Cheung, David, Song, Il-Yeol, Chu, Wesley, Hu, Xiaohua and Lin, Jimmy (ed.) 18th ACM International Conference on Information and Knowledge Management (CIKM 2009) . Hong Kong, China 02 - 06 Nov 2009 New York, USA. https://doi.org/10.1145/1645953.1646166
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 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .
Impact 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 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .
Anonymous access scheme for electronic services
Wang, Hua, Sun, Lili, Zhang, Yanchun and Cao, Jinli. 2004. "Anonymous access scheme for electronic services." Estivill-Castro, Vladimir (ed.) 27th Australasian Computer Science Conference (ACSC2004). Dunedin, New Zealand 18 - 22 Jan 2004 Sydney, NSW, Australia.
Experimental 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 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), pp. 075108-1. https://doi.org/10.1063/1.2959171
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.2007.06.004
The 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.2006.08.009
Total 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.131
Fast-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.71.066304
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), pp. 1-4. https://doi.org/10.1063/1.1928667
An 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.2007.06.009
Dependence 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.
Conditional purpose based access control model for privacy protection
Kabir, Md Enamul and Wang, Hua. 2009. "Conditional purpose based access control model for privacy protection." Bouguettaya, Athman and Lin, Xuemin (ed.) ADC 2009: 20th Australasian Conference on Australasian Database. Wellington, New Zealand 20 - 23 Jan 2009 Sydney, Australia.
Authorization algorithms for the mobility of user-role relationship
Wang, Hua, Sun, Lili, Zhang, Yanchun and Cao, Jinli. 2005. "Authorization algorithms for the mobility of user-role relationship." Estivill-Castro, Vladimir (ed.) ACSC 2005: 28th Australasian Computer Science Conference. Newcastle, Australia 28 Jan - 03 Feb 2005 Sydney, Australia.
Authorization algorithms for permission-role assignments
Sun, Lili, Wang, Hua and Yong, Jianming. 2009. "Authorization algorithms for permission-role assignments." Journal of Universal Computer Science. 15 (9), pp. 1782-1796. https://doi.org/10.3217/jucs-015-09-1782
An integrated model for next page access prediction
Khalil, Faten, Li, Jiuyong and Wang, Hua. 2009. "An integrated model for next page access prediction." International Journal of Knowledge and Web Intelligence. 1 (1/2), pp. 48-80. https://doi.org/10.1504/IJKWI.2009.027925
Enhanced p-sensitive k-anonymity models for privacy preserving data publishing
Sun, Xiaoxun, Wang, Hua, Li, Jiuyong and Truta, Traian Marius. 2008. "Enhanced p-sensitive k-anonymity models for privacy preserving data publishing." Transactions on Data Privacy. 1 (2), pp. 53-66.
Integrating recommendation models for improved web page prediction accuracy
Khalil, Faten, Li, Jiuyong and Wang, Hua. 2008. "Integrating recommendation models for improved web page prediction accuracy." Dobbie, Gillian and Mans, Bernard (ed.) ACSC 2008: 31st Australasian Computer Science Conference. Wollongong, Australia 22 - 25 Jan 2008 Sydney, Australia.
Priority driven K-anonymisation for privacy protection
Sun, Xiaoxun, Wang, Hua and Li, Jiuyong. 2008. "Priority driven K-anonymisation for privacy protection." Roddick, John F., Li, Jiuyong, Christen, Peter and Kennedy, Paul J. (ed.) 7th Australasian Data Mining Conference (AusDM 2008). Glenelg, Adelaide 27 - 28 Nov 2008 Gold Coast, Australia.
Towards an authentication protocol for service outsourcing over IP networks
Lai, David, Zhang, Zhongwei and Wang, Hua. 2005. "Towards an authentication protocol for service outsourcing over IP networks." Arabnia, Hamid R. (ed.) 2005 International Conference on Security and Management. Las Vegas, United States of America 20 - 23 Jun 2005 Las Vegas, Nevada, USA.
Current developments of k-anonymous data releasing
Li, Jiuyong, Wang, Hua, Jin, Huidong and Yong, Jianming. 2008. "Current developments of k-anonymous data releasing." Electronic Journal of Health Informatics. 3 (1).
Protecting information sharing in distributed collaborative environment
Li, Min and Wang, Hua. 2008. "Protecting information sharing in distributed collaborative environment." 10th Asia-Pacific Web Conference (APWeb 2008). Shenyang, China 26 - 28 Apr 2008 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-540-89376-9-19
An efficient hash-based algorithm for minimal k-anonymity
Sun, Xiaoxun, Li, Min, Wang, Hua and Plank, Ashley. 2008. "An efficient hash-based algorithm for minimal k-anonymity." Dobbie, Gillian and Mans, Bernard (ed.) ACSC 2008: 31st Australasian Computer Science Conference. Wollongong, Australia 22 - 25 Jan 2008 Sydney, Australia.
Integrating Markov Model with clustering for predicting web page accesses
Khalil, Faten, Wang, Hua and Li, Jiuyong. 2007. "Integrating Markov Model with clustering for predicting web page accesses." 13th Australasian World Wide Web Conference (AusWeb 2007). Coffs Harbour, Australia 30 Jun - 04 Jul 2007 Australia.
Integrating recommendation models for improved web page prediction accuracy
Khalil, Faten, Wang, Hua and Li, Jiuyong. 2007. "Integrating recommendation models for improved web page prediction accuracy." 13th Australasian World Wide Web Conference (AusWeb 2007). Coffs Harbour, Australia 30 Jun - 04 Jul 2007 Australia.
Building a consumer anonymity scalable payment protocol for [the] Internet purchases
Wang, Hua, Cao, Jinli and Kambayahsi, Yahiko. 2002. "Building a consumer anonymity scalable payment protocol for [the] Internet purchases." 12th International Workshop on Research Issues in Data Engineering: Engineering E-Commerce/E-Business Systems (RIDE'02). San Jose, USA 24 - 25 Feb 2002 US.
A flexible payment scheme and its user-role assignment
Wang, Hua, Zhang, Yanchun and Cao, Jinli. 2002. "A flexible payment scheme and its user-role assignment." Chan, A., Chan, S., Leong, H. and Ng, V. (ed.) 2nd International Workshop on Cooperative Internet Computing. Hong Kong, China 18 - 19 Aug 2002 Hong Kong.
A protocol for untraceable electronic cash
Wang, Hua and Zhang, Yanchun. 2000. "A protocol for untraceable electronic cash." Lu, Hongjun and Zhou, Aoying (ed.) 1st Web-Age Information Management International Conference (WAIM 2000). Shanghai, China 21 - 23 Jun 2000 Berlin, Germany. https://doi.org/10.1007/3-540-45151-X_18
A consumer anonymity scalable payment scheme with role based access control
Wang, Hua, Cao, Jinli and Zhang, Yanchun. 2001. "A consumer anonymity scalable payment scheme with role based access control." 2nd International Conference on Web Information Systems Engineering (WISE 2001). Kyoto, Japan 03 - 06 Dec 2007
Formal authorization allocation approaches for role-based access control based on relational algebra operations
Wang, Hua, Cao, Jinli and Zhang, Yanchun. 2002. "Formal authorization allocation approaches for role-based access control based on relational algebra operations." 3rd International Conference on Web Information Systems Engineering, 2002 (WISE 2002). Singapore 12 - 14 Dec 2002
An electronic cash scheme and its management
Wang, Hua, Cao, Jinli and Zhang, Yanchun. 2004. "An electronic cash scheme and its management." Concurrent Engineering: Research and Application Journal. 12 (3), pp. 247-257. https://doi.org/10.1177/1063293X04046194
Ubiquitous computing environments and its usage access control
Wang, Hua, Zhang, Yanchun and Cao, Jinli. 2006. "Ubiquitous computing environments and its usage access control." 1st International Conference on Scalable Information Systems. Hong Kong, China 29 May - 01 Jun 2006 New York, USA.
Ticket-based mobile commerce scheme and its implementation
Wang, Hua, Huang, Xiaodi and Dodda, Goutham Reddy. 2006. "Ticket-based mobile commerce scheme and its implementation ." 9th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems. Terromolinos, Spain 02 - 06 Oct 2006 New York, NY, USA.
A maximally diversified multiple decision tree algorithm for microarray data classification
Hu, Hong, Li, Jiuyong, Wang, Hua, Daggard, Grant and Shi, Mingren. 2006. "A maximally diversified multiple decision tree algorithm for microarray data classification." Boden, Mikael and Bailey, Timothy (ed.) Workshop on Intelligent Systems for Bioinformatics (2006). Hobart, Australia 04 Dec 2006 Sydney, Australia.
A framework of combining Markov model with association rules for predicting web page accesses
Khalil, Faten, Li, Jiuyong and Wang, Hua. 2006. "A framework of combining Markov model with association rules for predicting web page accesses." Christen, Peter, Kennedy, Paul J., Li, Jiuyong, Simoff, Simeon J. and Williams, Graham J. (ed.) 5th Australasian Conference on Data Mining and Analystics (AusDM 2006). Sydney, Australia 29 - 30 Nov 2006 Canberra, Australia.
A comparative study of classification methods for microarray data analysis
Hu, Hong, Li, Jiuyong, Plank, Ashley, Wang, Hua and Daggard, Grant. 2006. "A comparative study of classification methods for microarray data analysis." Christen, Peter, Kennedy, Paul J., Li, Jiuyong, Simoff, Simeon J. and Williams, Graham J. (ed.) 5th Australasian Conference on Data Mining and Analystics (AusDM 2006). Sydney, Australia 29 - 30 Nov 2006 Canberra, Australia.
Access management in electronic commerce system
Wang, Hua. 2004. Access management in electronic commerce system. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Current developments of k-anonymous data releasing
Li, Jiuyong, Wang, Hua, Jin, Huidong and Yong, Jianming. 2006. "Current developments of k-anonymous data releasing." Croll, Peter, Morarji, Hasmukh and Au, Richard (ed.) National e-Health Privacy and Security Symposium 2006. Brisbane, Australia 24 - 26 Oct 2006 Brisbane.