Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry

Article

Raj, Shiveel, Deo, Ravinesh C., Sharma, Ekta, Prasad, Ramendra, Dinh, Toan and Salcedo-sanz, Sancho. 2024. "Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry." IEEE Access. 12, pp. 72530-72543. https://doi.org/10.1109/ACCESS.2024.3401091
Article Title

Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry

ERA Journal ID210567
Article CategoryArticle
AuthorsRaj, Shiveel, Deo, Ravinesh C., Sharma, Ekta, Prasad, Ramendra, Dinh, Toan and Salcedo-sanz, Sancho
Journal TitleIEEE Access
Journal Citation12, pp. 72530-72543
Number of Pages14
Year2024
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
ISSN2169-3536
Digital Object Identifier (DOI)https://doi.org/10.1109/ACCESS.2024.3401091
Web Address (URL)https://ieeexplore.ieee.org/document/10530982
AbstractAtmospheric visibility and cloud ceiling forecasts are essential for the safety and efficiency of flight operations and the aviation industry. Routine hourly aviation meteorological observations are recorded at every airport. However, forecasts of these two meteorological parameters using artificial intelligence techniques are limited. This research utilizes data from two study sites in Fiji, Nadi, and Nausori International Airport, and proposes a hybrid Iterative Input Selection – Long Short-Term Memory (IIS-LSTM) integrated model to forecast the consecutive hour’s visibility and ceiling parameters. The IIS algorithm acts as a feature selector from the global predictor matrix of predictor variables with its significant lagged inputs and the significant lagged inputs of the target variable, while the LSTM algorithm acts as the learning model and makes forecasts. The performance of the proposed hybrid IIS-LSTM model is evaluated using seven statistical score metrics and compared with four competing benchmark models. The evaluated results illustrate the superiority of the proposed hybrid IIS-LSTM integrated model and its advanced capability to generate accurate atmospheric visibility and cloud ceiling forecasts for the next consecutive hour compared to the benchmark models. The most important features selected were the second lagged input of visibility and first lagged input of rainfall to improve visibility forecasts while the first and the fifth lagged inputs of the total low cloud cover were paramount for accurate cloud ceiling forecasts. Considering the geography of the study sites, the overall efficacy of the IIS method is strongly advocated to screen most suitable model predictors and the subsequent integration of this input selection method with the LSTM predictive algorithm to attain enhanced performance of the hybrid IIS-LSTM forecast model. This objective model is therefore proposed to be an efficient and cost-effective predictive tool for atmospheric visibi...
Keywordsceiling forecast; Visibility forecast; deep learning; machine learning; iterative input selection; long short-term memory
Related Output
Is part ofAtmospheric visibility and cloud cover forecasting with novel artificial intelligence methods for Fiji's aviation sector
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460203. Evolutionary computation
Public Notes

This article is part of a UniSQ Thesis by publication. See Related Output.

Byline AffiliationsSchool of Mathematics, Physics and Computing
University of Fiji, Fiji
Centre for Future Materials
School of Engineering
University of Alcala, Spain
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Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)
Xu, Shuting, Deo, Ravinesh C, Soar, Jeffrey, Barua, Prabal Datta, Faust, Oliver, Homaira, Nusrat, Jaffe, Adam, Kabir, Arm Luthful and Acharya, U. Rajendra. 2023. "Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)." Computer Methods and Programs in Biomedicine. 241. https://doi.org/10.1016/j.cmpb.2023.107746
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
Raghavendra, U., Gudigar, Anjan, Paul, Aritra, Goutham, T.S., Inamdar, Mahesh Anil, Hegde, Ajay, Dev, Aruna, Ooi, Chui Ping, Deo, Ravinesh C., Barua, Prabal Datta, Molinari, Filippo, Ciaccio, Edward J. and Acharya, U. Rajendra. 2023. "Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives." Computers in Biology and Medicine. 163. https://doi.org/10.1016/j.compbiomed.2023.107063
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022)
Jui, S. Janifer Jabin, Deo, Ravinesh C. Deo, Barua, Prabal Datta, Devi, Aruna, Soar, Jeffrey and Acharya, U. Rajendra. 2023. "Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022)." IEEE Access. 11, pp. 71905-71924. https://doi.org/10.1109/ACCESS.2023.3294473
Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables
Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "Integrated Multi-Head Self-Attention Transformer model for electricity demand prediction incorporating local climate variables." Energy and AI. 14. https://doi.org/10.1016/j.egyai.2023.100302
Superhydrophobic self-extinguishing cotton fabrics for electromagnetic interference shielding and human motion detection
Liu, Lei, Ma, Zhewen, Zhu, Menghe, Liu, Lina, Dai, Jinfeng, Shi, Yongqian, Gao, Jiefeng, Dinh, Toan, Nguyen, Thanh, Tang, Long-Cheng and Song, Pingan. 2023. "Superhydrophobic self-extinguishing cotton fabrics for electromagnetic interference shielding and human motion detection ." Journal of Materials Science and Technology. 132, pp. 59-68. https://doi.org/10.1016/j.jmst.2022.05.036
The Great 2011 Thailand flood disaster revisited: Could it have been mitigated by different dam operations based on better weather forecasts?
Loc, Ho Huu, Emadzadeh, Adel, Park, Edward, Nontikansak, Piyanuch and Deo, Ravinesh C.. 2023. "The Great 2011 Thailand flood disaster revisited: Could it have been mitigated by different dam operations based on better weather forecasts? " Environmental Research. 216 (Part 2). https://doi.org/10.1016/j.envres.2022.114493
Comparison of machine learning methods emulating process driven crop models
Johnston, David B., Pembleton, Keith G., Huth, Neil I. and Deo, Ravinesh C.. 2023. "Comparison of machine learning methods emulating process driven crop models ." Environmental Modelling and Software. 162. https://doi.org/10.1016/j.envsoft.2023.105634
A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Ghimire, Sujan, Nguyen-Huy, Thong, AL-Musaylh, Mohanad S., Deo, Ravinesh, Casillas-Perez, David and Salcedo-sanz, Sancho. 2023. "A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction." Energy. 275, p. 127430. https://doi.org/10.1016/j.energy.2023.127430
Electrohydrodynamic Nebuliser (eNEB) for Direct Pulmonary Drug Delivery Application
Vu, Trung-Hieu, Mai, Luan Ngoc, Nguyen, Tuan-Hung, Tran, Dang Ngoc, Nguyen, Tuan-Khoa, Nguyen, Thanh, Fastier-Woollel, Jarred, Tran, Canh-Dung, Dinh, Toan, Nguyen, Hong-Quan, Dao, Dzung Viet and Dau, Van Thanh. 2023. "Electrohydrodynamic Nebuliser (eNEB) for Direct Pulmonary Drug Delivery Application." 2023 IEEE 36th International Conference on Micro Electro Mechanical Systems (MEMS). Munich, Germany 15 - 19 Jan 2023 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/MEMS49605.2023.10052181
Development of Boat Model Powered by Electro-Hydrodynamic Propulsion System
Mai, Luan Ngoc, Nguyen, Tuan-Khoa, Vu, Trung Hieu, Dinh, Thien Xuan, Tran, Canh-Dung, Phan, Hoang-Phuong, Dinh, Toan, Nguyen, Thanh, Nguyen, Nam-Trung, Dao, Dzung Viet and Dau, Van Thanh. 2023. "Development of Boat Model Powered by Electro-Hydrodynamic Propulsion System." 2023 IEEE 36th International Conference on Micro Electro Mechanical Systems (MEMS). Munich, Germany 15 - 19 Jan 2023 USA. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/MEMS49605.2023.10052157
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach
Riaz, Farina, Abdulla, Shahab, Suzuki, Hajime, Ganguly, Srinjoy, Deo, Ravinesh C. and Hopkins, Susan. 2023. "Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach." Sensors. 23 (5), pp. 1-11. https://doi.org/10.3390/s23052753
Near real-time wind speed forecast model with bidirectional LSTM networks
Joseph, Lionel P., Deo, Ravinesh C., Prasad, Ramendra, Salcedo-Sanz, Sancho, Raj, Nawin and Soar, Jeffrey. 2023. "Near real-time wind speed forecast model with bidirectional LSTM networks." Renewable Energy. 204, pp. 39-58. https://doi.org/10.1016/j.renene.2022.12.123
Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images
Deo, Ravinesh C., Karalasingham, Sagthitharan, Casillas-Perez, David, Raj, Narwin and Salcedo-sanz, Sancho. 2023. "Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images." IEEE Access. 11, pp. 5558-5577. https://doi.org/10.1109/ACCESS.2023.3236253
Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Jamei, Mehdi and Yaseen, Zaher Mundher. 2023. "Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting." Renewable Energy. 205, pp. 731-746. https://doi.org/https://doi.org/10.1016/j.renene.2023.01.108
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition
Diykh, Mohammed, Abdulla, Shahab, Deo, Ravinesh C, Siuly, Siuly and Ali, Mumtaz. 2023. "Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition." Computer Methods and Programs in Biomedicine. 229, pp. 1-11. https://doi.org/https://doi.org/10.1016/j.cmpb.2022.107305
Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression
Deo, Ravinesh C., Ahmed, A.A. Masrur, Casillas-Perez, David, Pourmousavi, S. Ali, Segal, Gary, Yu, Yanshan and Salcedo-sanz, Sancho. 2023. "Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression." Renewable Energy. 203, pp. 113-130. https://doi.org/10.1016/j.renene.2022.12.048
A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Sharma, Ekta, Jamei, Mozhdeh, Chu, Xuefeng and Yaseen, Zaher Mundher. 2023. "A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture." Engineering Applications of Artificial Intelligence. 120. https://doi.org/10.1016/j.engappai.2023.105895
Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm
Jayasinghe, W. J. M. Lakmini Prarthana, Deo, Ravinesh C., Ghahramani, Afshin, Ghimire, Sujan and Raj, Nawin. 2021. "Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm." IEEE Access. 9, pp. 166695-166708. https://doi.org/10.1109/ACCESS.2021.3135362
Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm
Moishin, Mohammed, Deo, Ravinesh C., Prasad, Ramendra, Raj, Nawin and Abdulla, Shahab. 2021. "Designing Deep-based Learning Flood Forecast Model with ConvLSTM Hybrid Algorithm." IEEE Access. 9, pp. 50982-50993. https://doi.org/10.1109/ACCESS.2021.3065939
Pattern recognition describing spatio-temporal drivers of catchment classification for water quality
O'Sullivan, Cherie M., Ghahramani, Afshin, Deo, Ravinesh C. and Pembleton, Keith G.. 2023. "Pattern recognition describing spatio-temporal drivers of catchment classification for water quality." Science of the Total Environment. 861, pp. 1-42. https://doi.org/10.1016/j.scitotenv.2022.160240
The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds
Downs, Nathan, Raj, Nawin, Vanos, Jennifer, Parisi, Alfio, Butler, Harry, Deo, Ravinesh, Igoe, Damien, Dexter, Benjamin, Beckman-Downs, Melanie, Turner, Joanna and Dekeyser, Stijn. 2023. "The Playground Shade Index: A New Design Metric for Measuring Shade and Seasonal Ultraviolet Protection Characteristics of Parks and Playgrounds." Photochemistry and Photobiology. 99 (4), pp. 1193-1207. https://doi.org/10.1111/php.13745
Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps
Davey, Christopher P., Shakeel, Ismail, Deo, Ravinesh C., Salcedo-sanz, Sancho and Soar, Jeffrey. 2022. "Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps." IEEE Access. 10, pp. 119814 - 119825. https://doi.org/10.1109/ACCESS.2022.3221762
Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm
Sharma, Ekta, Deo, Ravinesh C., Prasad, Ramendra and Parisi, Alfio V.. 2019. "Modelling and Real-time Optimisation of Air Quality Predictions for Australia through Artificial Intelligence Algorithm." AMSI Optimise 2019. Perth, Australia 17 - 21 Jun 2019 Perth, Australia.
Connecting community online and through partnership: A reflective piece
Pickstone, Leigh, Sharma, Ekta, King, Rachel, Galligan, Linda and Langlands, Trevor. 2022. "Connecting community online and through partnership: A reflective piece." International Journal for Students as Partners. 6 (2), pp. 114-120. https://doi.org/10.15173/ijsap.v6i2.4825
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction
Ghimire, Sujan, Nguyen-Huy, Thong, Prasad, Ramendra, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho and Bhandari, Binayak. 2023. "Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction." Cognitive Computation. 15 (2), pp. 645-671. https://doi.org/10.1007/s12559-022-10070-y
Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models
Nguyen-Huy, Thong, Deo, Ravinesh C., Khan, Shahjahan, Devi, Aruna, Adeyinka, Adewuyi Ayodele, Apan, Armando A. and Yaseen, Zaher Mundher. 2022. "Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models." IEEE Access. 10, pp. 45112 -45136. https://doi.org/10.1109/ACCESS.2022.3168322
Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia
Murray, Xavier, Apan, Armando, Deo, Ravinesh and Maraseni, Tek. 2022. "Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia." Geocarto International. 37 (26), pp. 11223-11252. https://doi.org/10.1080/10106049.2022.2048902
Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization
Ahmadianfar, Iman, Noori, Ramzia Majeed, Togun, Hussein, Falah, Mayadah W., Homod, Raad Z., Fu, Minglei, Halder, Bijay, Deo, Ravinesh and Yaseen, Zaher Mundher. 2022. "Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization." Knowledge-Based Systems. 250, pp. 1-18. https://doi.org/10.1016/j.knosys.2022.109048
Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach
Khosravi, Khabat, Golkarian, Ali, Melesse, Assefa M. and Deo, Ravinesh C.. 2022. "Suspended sediment load modeling using advanced hybrid rotation forest based elastic network approach." Journal of Hydrology. 610, pp. 1-14. https://doi.org/10.1016/j.jhydrol.2022.127963
Delineating the Crop-Land Dynamic due to Extreme Environment Using Landsat Datasets: A Case Study
Halder, Bijay, Bandyopadhyay, Jatisankar, Afan, Haitham Abdulmohsin, Naser, Maryam H., Abed, Salwan Ali, Khedher, Khaled Mohamed, Falih, Khaldoon T., Deo, Ravinesh, Scholz, Miklas and Yaseen, Zaher Mundher. 2022. "Delineating the Crop-Land Dynamic due to Extreme Environment Using Landsat Datasets: A Case Study." Agronomy. 12 (6), pp. 1-23. https://doi.org/10.3390/agronomy12061268
Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction
Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Prasad, Ramendra, Li, Jianxin, Farooque, Aitazaz and Yaseen, Zaher Mundher. 2022. "Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction." Scientific Reports. 12 (1), pp. 1-23. https://doi.org/10.1038/s41598-022-09482-5
Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network
Deo, Ravinesh C., Grant, Richard H., Webb, Ann, Ghimire, Sujan, Igoe, Damien P., Downs, Nathan J., Al-Musaylh, Mohanad S., Parisi, Alfio V. and Soar, Jeffrey. 2022. "Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long short-term memory network." Stochastic Environmental Research and Risk Assessment. 36, p. 3183–3220. https://doi.org/10.1007/s00477-022-02188-0
Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C, Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction." Renewable Energy. 190, pp. 408-424. https://doi.org/10.1016/j.renene.2022.03.120
Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model
Ghimire, Sujan, Nguyen-Huy, Thong, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model." Sustainable Materials and Technologies. 32, pp. 1-24. https://doi.org/10.1016/j.susmat.2022.e00429
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
Ghimire, Sujan, Bhandari, Binayak, Casillas-Perez, David, Deo, Ravinesh C. and Salcedo-sanz, Sancho. 2022. "Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia." Engineering Applications of Artificial Intelligence. 112, pp. 1-26. https://doi.org/10.1016/j.engappai.2022.104860
Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms." Applied Energy. 316, pp. 1-25. https://doi.org/10.1016/j.apenergy.2022.119063
Machine learning regression and classification methods for fog events prediction
Castillo-Boton, C., Casillas-Perez, D., Casanova-Mateo, C., Ghimire, S., Cerro-Prada, E., Gutierrez, P. A., Deo, R. C. and Salcedo-sanz, S.. 2022. "Machine learning regression and classification methods for fog events prediction." Atmospheric Research. 272, pp. 1-23. https://doi.org/10.1016/j.atmosres.2022.106157
Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing
Riaz, Farina, Abdulla, Shahab, Ni, Wei, Radfar, Mohsen, Deo, Ravinesh and Hopkins, Susan. 2022. "Quantum Artificial Intelligence Predictions Enhancement by Improving Signal Processing." Quantum Australia Conference 2022. Online 23 - 25 Feb 2022 Toowoomba, Australia. https://doi.org/10.13140/RG.2.2.34754.66245
Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David, Salcedo-sanz, Sancho, Sharma, Ekta and Ali, Mumtaz. 2022. "Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction." Measurement. 202, pp. 1-22. https://doi.org/10.1016/j.measurement.2022.111759
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
The concept of light-harvesting, self-powered mechanical sensors using a monolithic structure
Nguyen, Thanh, Dinh, Toan, Dau, Van Thanh, Nguyen, Hung, Vu, Trung Hieu, Tran, Canh-Dung, Song, Pingan, Bell, John, Nguyen, Nam-Trung and Dao, Dzung Viet. 2022. "The concept of light-harvesting, self-powered mechanical sensors using a monolithic structure." Nano Energy. 96, pp. 1-9. https://doi.org/10.1016/j.nanoen.2022.107030
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
Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results
Ghimire, Sujan, Deo, Ravinesh C., Wang, Hua, Al-Musaylh, Mohanad S., Casillas-Perez, David and Salcedo-sanz, Sancho. 2022. "Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results." Energies. 15 (3), pp. 1-39. https://doi.org/10.3390/en15031061
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
Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model
Jamei, Mehdi, Ali, Mumtaz, Malik, Anurag, Karbasi, Masoud, Sharma, Ekta and Yaseen, Zaher Mundher. 2022. "Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model." Journal of Cleaner Production. 374, pp. 1-17. https://doi.org/10.1016/j.jclepro.2022.134011
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
Toward on-board microchip synthesis of CdSe vs. PbSe nanocrystalline quantum dots as a spectral decoy for protecting space assets
Nijhuis, Job, Tran, Quy Don, Tran, Nam Nghiep, Dinh, Toan, Phan, Hoang-Phuong, Nguyen, Nam Trung, Tran, Tung, Losic, Dusan and Hessel, Volker. 2021. "Toward on-board microchip synthesis of CdSe vs. PbSe nanocrystalline quantum dots as a spectral decoy for protecting space assets." Reaction Chemistry and Engineering. 6 (3), pp. 471-485. https://doi.org/10.1039/D0RE00327A
Wide-Band-Gap Semiconductors for Biointegrated Electronics: Recent Advances and Future Directions
Nguyen, Nhat-Khuong, Nguyen, Thanh, Nguyen, Tuan-Khoa, Yadav, Sharda, Dinh, Toan, Masud, Mostafa Kamal, Singha, Pradip, Do, Thanh Nho, Barton, Matthew J., Ta, Hang Thu, Kashaninejad, Navid, Ooi, Chin Hong, Nguyen, Nam-Trung and Phan, Hoang-Phuong. 2021. "Wide-Band-Gap Semiconductors for Biointegrated Electronics: Recent Advances and Future Directions." ACS Applied Electronic Materials. 3 (5), pp. 1959-1981. https://doi.org/10.1021/acsaelm.0c01122
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
Integrated, Transparent Silicon Carbide Electronics and Sensors for Radio Frequency Biomedical Therapy
Nguyen, Tuan-Khoa, Yadav, Sharda, Truong, Thanh-An, Han, Mengdi, Barton, Matthew, Leitch, Michael, Guzman, Pablo, Dinh, Toan, Ashok, Aditya, Vu, Hieu, Dau, Van, Haasmann, Daniel, Chen, Lin, Park, Yoonseok, Do, Thanh Nho, Yamauchi, Yusuke, Rogers, John A., Nguyen, Nam-Trung and Phan, Hoang-Phuong. 2022. "Integrated, Transparent Silicon Carbide Electronics and Sensors for Radio Frequency Biomedical Therapy." ACS Nano. 16 (7), pp. 10890-10903. https://doi.org/10.1021/acsnano.2c03188
Wide Bandgap Nanowires: Synthesis, Properties, and Applications
Pham, Tua- Anh, Dinh, Toan, Nguyen, Nam-Trung and Phan, Hoang-Phuong. 2022. Wide Bandgap Nanowires: Synthesis, Properties, and Applications. Hoboken, United States. John Wiley & Sons.
A hot-film air flow sensor for elevated temperatures
Balakrishnan, Vivekananthan, Dinh, Toan, Nguyen, Thanh, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Dao, Dzung Viet and Nguyen, Nam-Trung. 2019. "A hot-film air flow sensor for elevated temperatures." Review of Scientific Instruments. 90 (1), pp. 1-10. https://doi.org/10.1063/1.5065420
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
Design and fabrication of paper-based stretchable sensor for respiration monitoring
Shivakumar Shagle, Nishith, Nguyen, Thanh, Vu, Trung-Hieu, Nguyen, Hung, Phan, Hoang-Phuong, Dau, Van, Song, Pingan, Wang, Hao, Nguyen, Nam-Trung, Dao, Dzung and Dinh, Toan. 2021. "Design and fabrication of paper-based stretchable sensor for respiration monitoring." 20th IEEE Sensors (SENSORS 2021). Virtual 31 Oct - 04 Nov 2021 United States. https://doi.org/10.1109/SENSORS47087.2021.9639648
Thermal-piezoresistive pumping on double SiC layer resonator for effective quality factor tuning
Guzman, Pablo, Dinh, Toan, Qamar, Afzaal, Lee, Jaesung, Zheng, X. Q., Feng, Philip, Rais-Zadeh, Mina, Phan, Hoang-Phuong, Nguyen, Thanh, Foisal, Abu Riduan Md, Li, Huaizhong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2022. "Thermal-piezoresistive pumping on double SiC layer resonator for effective quality factor tuning." Sensors and Actuators A: Physical. 343, pp. 1-8. https://doi.org/10.1016/j.sna.2022.113678
Light-Harvesting Self-Powered Monolithic-Structure Temperature Sensing Based on 3C-SiC/Si Heterostructure
Nguyen, Thanh, Dinh, Toan, Bell, John, Nguyen, Nam-Trung and Dao, Viet Dzung. 2022. "Light-Harvesting Self-Powered Monolithic-Structure Temperature Sensing Based on 3C-SiC/Si Heterostructure." ACS Applied Materials and Interfaces. 14, pp. 22593-22600. https://doi.org/10.1021/acsami.2c01681
Giant Piezotronic Effect by Photoexcitation–Electronic Coupling in a p-GaN/AlGaN/GaN Heterojunction
Nguyen, Hong Quan, Foisal, Riduan, Tanner, Philip, Nguyen, Tuan Hung, Aberoumand, Sadegh, Dau, Van Thanh, Dinh, Toan, Dimitrijev, Sima, Phan, Hoang Phuong, Nguyen, Nam-Trung and Dao, Viet Dzung. 2022. "Giant Piezotronic Effect by Photoexcitation–Electronic Coupling in a p-GaN/AlGaN/GaN Heterojunction." ACS Applied Electronic Materials. 4 (6), pp. 2648-2655. https://doi.org/10.1021/acsaelm.2c00111
Ultrasensitive Self-Powered Position-Sensitive Detector Based on n‑3C-SiC/p-Si Heterojunctions
Nguyen, Tuan-Hung, Nguyen, Thanh, Foisal, Abu Riduan Md, Pham, Tuan Anh, Dinh, Toan, Streed, Erik W., Vu, Trung-Hieu, Fastier-Wooller, Jarred, Duran, Pablo Guzman, Dau, Van Thanh, Nguyen, Nam-Trung and Dao, Dzung Viet. 2022. "Ultrasensitive Self-Powered Position-Sensitive Detector Based on n‑3C-SiC/p-Si Heterojunctions." ACS Applied Electronic Materials. 4 (2), pp. 768-775. https://doi.org/10.1021/acsaelm.1c01156
Engineering Stress in Thin Films: An Innovative Pathway Toward 3D Micro and Nanosystems
Truong, Thanh-An, Nguyen, Tuan-Khoa, Zhao, Hangbo, Nguyen, Nhat-Khuong, Dinh, Toan, Park, Yoonseok, Nguyen, Thanh, Yamauchi, Yusuke, Nguyen, Nam-Trung and Phan, Hoang-Phuong. 2022. "Engineering Stress in Thin Films: An Innovative Pathway Toward 3D Micro and Nanosystems." Small. 18 (4), pp. 1-29. https://doi.org/10.1002/smll.202105748
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
Enhanced electro-hydrodynamics for electrospinning a highly sensitive flexible fiber-based piezoelectric sensor
Vu, Trung-Hieu, Nguyen, Hang Thu, Fastier-Wooller, Jarred W., Tran, Canh-Dung, Nguyen, Tuan-Hung, Nguyen, Hong-Quan, Nguyen, Thanh, Nguyen, Tuan-Khoa, Dinh, Toan, Bui, Tung T., Zhong, Yulin, Phan, Hoang-Phuong, Nguyen, Nam-Trung, Dao, Dzung V. and Dau, Van Thanh. 2022. "Enhanced electro-hydrodynamics for electrospinning a highly sensitive flexible fiber-based piezoelectric sensor." ACS Applied Electronic Materials. 4 (3), pp. 1301-1310. https://doi.org/10.1021/acsaelm.2c00030
Picomolar detection of carbohydrate-lectin interactions on piezoelectrically printed microcantilever array
Cooper, Oren, Phan, Hoang-Phuong, Fitzpatrick, Tom, Dinh, Toan, Huang, Han, Nguyen, Nam-Trung and Tiralongo, Joe. 2022. "Picomolar detection of carbohydrate-lectin interactions on piezoelectrically printed microcantilever array." Biosensors and Bioelectronics. 205, pp. 1-8. https://doi.org/10.1016/j.bios.2022.114088
Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables
Jui, S. Janifer Jabin, Ahmed, A. A. Masrur, Bose, Aditi, Raj, Nawin, Sharma, Ekta, Soar, Jeffrey and Chowdhury, Md Wasique Islam. 2022. "Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables." Remote Sensing. 14 (3), pp. 1-18. https://doi.org/10.3390/rs14030805
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
Joseph, Lionel P., Joseph, Erica A. and Prasad, Ramendra. 2022. "Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture." Computers in Biology and Medicine. 151 (Part A). https://doi.org/10.1016/j.compbiomed.2022.106178
Wide bandgap semiconductor nanomembranes as a long-term biointerface for flexible, implanted neuromodulator
Nguyen, Tuan-Khoa, Barton, Matthew, Ashok, Aditya, Truong, Thanh-An, Yadav, Sharda, Leitch, Michael, Nguyen, Thanh-Vinh, Kashaninejad, Navid, Dinh, Toan, Hold, Leonie, Yamauchi, Yusuke, Nguyen, Nam-Trung and Phan, Hoang-Phuong. 2022. "Wide bandgap semiconductor nanomembranes as a long-term biointerface for flexible, implanted neuromodulator." Proceedings of the National Academy of Sciences (PNAS). 119 (33). https://doi.org/10.1073/pnas.2203287119
Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection
Malik, Anurag, Jamei, Mehdi, Ali, Mumtaz, Prasad, Ramendra, Karbasi, Masoud and Yaseen, Zaher Mundher. 2022. "Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection." Agricultural Water Management. 272. https://doi.org/https://doi.org/10.1016/j.agwat.2022.107812
Light harvesting self-powered strain sensor using 3C-SiC/Si heterostructure
Nguyen, Thanh, Nguyen, Duy Van, Nguyen, Hung, Tong, Braiden, Tran, Canh-Dung, Takahashi, Hidetoshi, Dau, Van Thanh, Nguyen, Nam-Trung, Dao, Dzung Viet and Dinh, Toan. 2022. "Light harvesting self-powered strain sensor using 3C-SiC/Si heterostructure." 2022 IEEE sensors . Dallas, TX, USA 30 Oct - 02 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/SENSORS52175.2022.9967004
A hierarchical classification/regression algorithm for improving extreme wind speed events prediction
Pelaez-Rodriguez, C., Perez-Aracil, J., Fister, D, Prieto-Godino, L., Deo, R.C. and Salcedo-sanz, S.. 2022. "A hierarchical classification/regression algorithm for improving extreme wind speed events prediction." Renewable Energy. 201 (Part 2), pp. 157-178. https://doi.org/10.1016/j.renene.2022.11.042
Artificial Intelligence and Clean Air: Development of Novel Algorithms with Machine Learning and Deep Learning
Sharma, Ekta. 2022. Artificial Intelligence and Clean Air: Development of Novel Algorithms with Machine Learning and Deep Learning. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q7w
Pseudo-Hall Effect in Graphite on Paper Based Four Terminal Devices for Stress Sensing Applications
Qamar, Afzaal, Sarwar, Tuba, Dinh, Toan, Foisal, A.R.M., Phan, Hoang-Phuong and Dao, Dzung Viet. 2017. "Pseudo-Hall Effect in Graphite on Paper Based Four Terminal Devices for Stress Sensing Applications." Applied Nanotechnology and Nanoscience International Conference 2016 (ANNIC 2016). Barcelona, Spain 09 - 11 Nov 2016 United Kingdom. IOP Publishing. https://doi.org/10.1088/1742-6596/829/1/012004
Carbon nanotube four-terminal devices for pressure sensing applications
Dinh, Toan, Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Ghavamian, Ali, Tran, Canh-Dung, Dau, Thanh-Van, Nguyen, Nam-Trung and Dao, Dzung Viet. 2018. "Carbon nanotube four-terminal devices for pressure sensing applications." KES International Conferences on Sustainable Design and Manufacturing (SDM-18) and Sustainability in Energy and Buildings (SEB-18). Gold Coast, Australia 24 - 26 Jun 2018
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
Strong, Ultrafast, Reprogrammable Hydrogel Actuators with Muscle-Mimetic Aligned Fibrous Structures
Jiang, Zhen, Seraji, Seyed Mohsen, Tan, Xiao, Zhang, Xinxing, Dinh, Toan, Mollazade, Mahdie, Rowan, Alan E, Whittaker, Andrew K, Song, Pingan and Wang, Hao. 2021. "Strong, Ultrafast, Reprogrammable Hydrogel Actuators with Muscle-Mimetic Aligned Fibrous Structures." Chemistry of Materials. 33 (19), pp. 7818-7828. https://doi.org/10.1021/acs.chemmater.1c02312
In-situ deposition of pressure and temperature sensitive e-skin for robotic applications
Fastier-Wooller, Jarred W., Vu, Trung Hieu, Tran, Canh-Dung, Dinh, Toan, Dau, Van Thanh and Dao, Dzung Viet. 2021. "In-situ deposition of pressure and temperature sensitive e-skin for robotic applications." 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers 2021). Orlando, United States 20 - 25 Jun 2021 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/Transducers50396.2021.9495600
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
Electrospray propelled by ionic wind in a bipolar system for direct delivery of charge reduced nanoparticles
Dau, Van T., Vu, Trung-Hieu, Tran, Canh-Dung, Nguyen, Thanh Viet, Nguyen, Tuan-Khoa, Dinh, Toan, Phan, Hoang-Phuong, Shimizu, Kazunori, Nguyen, Nam-Trung and Dao, Dzung V.. 2021. "Electrospray propelled by ionic wind in a bipolar system for direct delivery of charge reduced nanoparticles." Applied Physics Express. 14 (5), pp. 1-5. https://doi.org/10.35848/1882-0786/abf36b
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
Transparent crystalline cubic SiC-on-glass electrodes enable simultaneous electrochemistry and optical microscopy
Phan, Hoang-Phuong, Masud, Mostafa Kamal, Vadivelu, Raja Kumar, Dinh, Toan, Nguyen, Tuan-Khoa, Ngo, Kieu, Dao, Dzung Viet, Shiddiky, Muhammad J. A., Hossain, Md Shahriar A., Yamauchi, Yusuke and Nguyen, Nam-Trung. 2019. "Transparent crystalline cubic SiC-on-glass electrodes enable simultaneous electrochemistry and optical microscopy." Chemical Communications. 55 (55), pp. 7978-7981. https://doi.org/10.1039/C9CC03082D
Piezoresistive effect with a gauge factor of 18 000 in a semiconductor heterojunction modulated by bonded light-emitting diodes
Nguyen, Thanh, Dinh, Toan, Dau, Van Thanh, Foisal, Abu Riduan Md, Guzman, Pablo, Nguyen, Hung, Pham, Tuan Anh, Nguyen, Tuan-Khoa, Phan, Hoang- Phuong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2021. "Piezoresistive effect with a gauge factor of 18 000 in a semiconductor heterojunction modulated by bonded light-emitting diodes." ACS Applied Materials and Interfaces. 13 (29), pp. 35046-35053. https://doi.org/10.1021/acsami.1c05985
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
Advances in ultrasensitive piezoresistive sensors: from conventional to flexible and stretchable applications
Nguyen, Thanh, Dinh, Toan, Phan, Hoang-Phuong, Pham, Tuan Anh, Dau, Van Thanh, Nguyen, Nam-Trung and Dao, Dzung Viet. 2021. "Advances in ultrasensitive piezoresistive sensors: from conventional to flexible and stretchable applications." Materials Horizons. https://doi.org/10.1039/D1MH00538C
A Wearable, Bending-Insensitive Respiration Sensor Using Highly Oriented Carbon Nanotube Film
Nguyen, Thanh, Dinh, Toan, Dau, Van Thanh, Tran, Canh-Dung, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Nguyen, Hong Khac, Riduan, Foisal Abu, Guzman, Pablo, Nguyen, Nam-Trung and Dao, Dzung Viet. 2021. "A Wearable, Bending-Insensitive Respiration Sensor Using Highly Oriented Carbon Nanotube Film." IEEE Sensors Journal. 21 (6), pp. 7308-7315. https://doi.org/10.1109/JSEN.2020.3048236
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
Wet oxidation of 3C-SiC on Si for MEMS processing and use in harsh environments: Effects of the film thicknesses, crystalline orientations, and growth temperatures
Pham, Tuan Anh, Hold, Leonie, Iacopi, Alan, Nguyen, Tuan-Khoa, Cheng, Han Hao, Dinh, Toan, Dao, Dzung Viet, Ta, Hang Thu, Nguyen, Nam-Trung and Phan, Hoang‐Phuong. 2021. "Wet oxidation of 3C-SiC on Si for MEMS processing and use in harsh environments: Effects of the film thicknesses, crystalline orientations, and growth temperatures." Sensors and Actuators A: Physical. 317, pp. 1-11. https://doi.org/10.1016/j.sna.2020.112474
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
Physical sensors: thermal sensors
Dinh, Toan, Nguyen, Thanh, Phan, Hoang-Phuong, Dau, Van, Dao, Dzung and Nguyen, Nam-Trung. 2021. "Physical sensors: thermal sensors." Reference module in biomedical sciences [Online reference collection]. United States. Elsevier.
Pressure and temperature sensitive e-skin for in situ robotic applications
Fastier-Wooller, Jarred W., Dau, Van Thanh, Dinh, Toan, Tran, Canh-Dung and Dao, Dzung Viet. 2021. "Pressure and temperature sensitive e-skin for in situ robotic applications." Materials and Design. 208, pp. 1-8. https://doi.org/10.1016/j.matdes.2021.109886
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
In-air particle generation by on-chip electrohydrodynamics
Dau, Van T., Bui, Tung T., Tran, Canh-Dung, Nguyen, Thanh Viet, Nguyen, Tuan-Khoa, Dinh, Toan, Phan, Hoang-Phuong, Wibowo, David, Rehm, Bernd H. A., Ta, Hang Thu, Nguyen, Nam-Trung and Dao, Dzung V.. 2021. "In-air particle generation by on-chip electrohydrodynamics." Lab on a Chip. 21 (9), pp. 1779-1787. https://doi.org/10.1039/d0lc01247e
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
AlGaN/GaN 2-D electron gas for highly sensitive and high-temperature current sensing
Nguyen, Hong Quan, Dinh, Toan, Moghadam, Hamid Amini, Nguyen, Tuan Khoa, Nguyen, Thanh, Han, Jisheng, Dimitrijev, Sima, Zhu, Yong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2021. "AlGaN/GaN 2-D electron gas for highly sensitive and high-temperature current sensing." IEEE Transactions on Electron Devices. 68 (4), pp. 1495-1500. https://doi.org/10.1109/TED.2021.3054360
Self-powered monolithic accelerometer using a photonic gate
Nguyen, Thanh, Dinh, Toan, Phan, Hoang-Phuong, Dau, Van Thanh, Nguyen, Tuan-Khoa, Joy, Abbin Perunnilathil, Bahreyni, Behraad, Qamar, Afzaal, Rais-Zadeh, Mina, Senesky, Debbie G., Nguyen, Nam-Trung and Dao, Dzung Viet. 2020. "Self-powered monolithic accelerometer using a photonic gate." Nano Energy. 76. https://doi.org/10.1016/j.nanoen.2020.104950
Ultra-sensitive self-powered position-sensitive detector based on horizontally-aligned double 3C-SiC/Si heterostructures
Foisal, Abu Riduan Md, Qamar, Afzaal, Nguyen, Thanh, Dinh, Toan, Phan, Hoang Phuong, Nguyen, Hung, Duran, Pablo Guzman, Streed, Erik W. and Dao, Dzung Viet. 2021. "Ultra-sensitive self-powered position-sensitive detector based on horizontally-aligned double 3C-SiC/Si heterostructures." Nano Energy. 79, pp. 1-9. https://doi.org/10.1016/j.nanoen.2020.105494
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
Effects of photogenerated-hole diffusion on 3C-SiC/Si heterostructure optoelectronic position-sensitive detector
Nguyen, Hung, Foisal, Abu Riduan Md, Nguyen, Thanh, Dinh, Toan, Streed, Erik W, Nguyen, Nam-Trung and Dao, Dzung Viet. 2021. "Effects of photogenerated-hole diffusion on 3C-SiC/Si heterostructure optoelectronic position-sensitive detector." Journal of Physics D: Applied Physics. 54 (26). https://doi.org/10.1088/1361-6463/abf3ff
Ultrasensitive strain sensor enhanced by Bonded Light Emitting Diodes
Nguyen, Thanh, Dinh, Toan, Dau, Van Thanh, Foisal, Abu Riduan Md, Nguyen, Hung, Vu, Hieu, Pham, Tuan Anh, Tran Canh-Dung, Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2021. "Ultrasensitive strain sensor enhanced by Bonded Light Emitting Diodes." 20th IEEE Sensors (SENSORS 2021). Virtual 31 Oct - 04 Nov 2021 https://doi.org/10.1109/SENSORS47087.2021.9639603
Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Khan, Mohsin, Farooque, Aitazaz Ahsan, Zong, Tianrui and Yaseen, Zaher Mundher. 2021. "Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology." Energy Reports. 7, pp. 6700-6717. https://doi.org/10.1016/j.egyr.2021.09.113
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
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
Nanoarchitectonics for Wide Bandgap Semiconductor Nanowires: Toward the Next Generation of Nanoelectromechanical Systems for Environmental Monitoring
Pham, Tuan-Anh, Qamar, Afzaal, Dinh, Toan, Masud, Mostafa Kamal, Rais-Zadeh, Mina, Senesky, Debbie G., Yamauchi, Yusuke, Nguyen, Nam‐Trung and Phan, Hoang‐Phuong. 2020. "Nanoarchitectonics for Wide Bandgap Semiconductor Nanowires: Toward the Next Generation of Nanoelectromechanical Systems for Environmental Monitoring." Advanced Science. 7 (21), pp. 1-30. https://doi.org/10.1002/advs.202001294
A Versatile Sacrificial Layer for Transfer Printing of Wide Bandgap Materials for Implantable and Stretchable Bioelectronics
Pham, Tuan‐Anh, Nguyen, Tuan‐Khoa, Vadivelu, Raja Kumar, Dinh, Toan, Qamar, Afzaal, Yadav, Sharda, Yamauchi, Yusuke, Rogers, John A., Nguyen, Nam‐Trung and Phan, Hoang‐Phuong. 2020. "A Versatile Sacrificial Layer for Transfer Printing of Wide Bandgap Materials for Implantable and Stretchable Bioelectronics." Advanced Functional Materials. 30 (43), pp. 1-10. https://doi.org/10.1002/adfm.202004655
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
Optoelectronic Enhancement for Piezoresistive Pressure Sensor
Nguyen, Thanh, Dinh, Toan, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Foisal, Abu Riduan Md, Nguyen, Nam-Trung and Dao, Dzung Viet. 2020. "Optoelectronic Enhancement for Piezoresistive Pressure Sensor." 33rd IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2020). Vancouver, Canada 18 - 22 Jan 2020 Piscataway, United States. https://doi.org/10.1109/MEMS46641.2020.9056281
Flexible and wearable flow sensor using spinnable carbon nanotube nanofilm for respiration monitoring
Dinh, Toan, Nguyen, Thanh, Dau, Van Thanh, Riduan, Foisal Abu, Tran, Canh-Dung, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Guzman, Pablo, Nguyen, Nam-Trung and Dao, Dzung Viet. 2020. "Flexible and wearable flow sensor using spinnable carbon nanotube nanofilm for respiration monitoring." 33rd IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2020). Vancouver, Canada 18 - 22 Jan 2020 Canada. https://doi.org/10.1109/MEMS46641.2020.9056423
Graphite-on-paper based tactile sensors using plastic laminating technique
Phan, Hoang-Phuong, Dao, Dzung Viet, Dinh, Toan, Brooke, Harrison, Qamar, Afzaal, Nguyen, Nam-Trung and Zhu, Yong. 2015. "Graphite-on-paper based tactile sensors using plastic laminating technique." 27th IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2015). Estoril, Portugal 18 - 22 Jan 2015 Piscataway, United States. https://doi.org/10.1109/MEMSYS.2015.7051086
Ultraviolet and Visible Photodetection Using 3C-SiC/Si Hetero-Epitaxial Junction
Foisal, Abu Riduan Md, Dinh, Toan, Tanner, Philip, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Iacopi, Alan, Streed, Erik W. and Dao, Dzung Viet. 2019. "Ultraviolet and Visible Photodetection Using 3C-SiC/Si Hetero-Epitaxial Junction." Dao, Dzung, Howlett, Robert J., Setchi, Rossi and Vlacic, Ljubo (ed.) KES International Conferences on Sustainable Design and Manufacturing (SDM-18) and Sustainability in Energy and Buildings (SEB-18). Gold Coast, Australia 24 - 26 Jun 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-030-04290-5_22
Ultra-Sensitive OPTO-Piezoresistive Sensors Utilising 3C-SiC/Si Heterostructures
Nguyen, Thanh, Dinh, Toan, Foisal, Abu Riduan Md, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Nguyen, Nam-Trung and Dao, Dzung Viet. 2019. "Ultra-Sensitive OPTO-Piezoresistive Sensors Utilising 3C-SiC/Si Heterostructures." 20th International conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors (Transducers & Eurosensors 33). Berlin, Germany 23 - 27 Jun 2019 Piscataway, United States. https://doi.org/10.1109/TRANSDUCERS.2019.8808394
Low-Cost Multifunctional Ionic Liquid Pressure and Temperature Sensor
Fastier-Wooller, Jarred, Yoshikawa, Ryuta, Dinh, Toan, Dau, Van, Phan, Hoang-Phuong, Teo, Adrian, Tan, Say Hwa and Dao, Dzung Viet. 2019. "Low-Cost Multifunctional Ionic Liquid Pressure and Temperature Sensor." Dao, Dzung, Howlett, Robert J., Setchi, Rossi and Vlacic, Ljubo (ed.) KES International Conferences on Sustainable Design and Manufacturing (SDM-18) and Sustainability in Energy and Buildings (SEB-18). Gold Coast, Australia 24 - 26 Jun 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-030-04290-5_19
Development of a vibrating-reed MEMS charge sensor on silicon-on-glass technology
Jalil, Jubayer, Zhu, Yong, Dinh, Toan and Ruan, Yong. 2019. "Development of a vibrating-reed MEMS charge sensor on silicon-on-glass technology." Dao, Dzung, Setchi, Rossi, Howlett, Robert J. and Vlacic, Ljubo (ed.) KES International Conferences on Sustainable Design and Manufacturing (SDM-18) and Sustainability in Energy and Buildings (SEB-18). Gold Coast, Australia 24 - 26 Jun 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-030-04290-5_13
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
Utilizing large hall offset voltage for conversion free 4H SiC strain sensor
Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Han, Jisheng, Dinh, Toan, Foisal, Abu Riduan Md, Zhu, Yong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2018. "Utilizing large hall offset voltage for conversion free 4H SiC strain sensor." 31st IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2018). Belfast, Northern Ireland 21 - 25 Jan 2018 Piscataway, United States. https://doi.org/10.1109/MEMSYS.2018.8346697
Ultra-thin LPCVD silicon carbide membrane: A promising platform for bio-cell culturing
Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Kamble, Harshad, Vadivelu, Raja, Dinh, Toan, Iacopi, Alan, Walker, Glenn, Hold, Leonie, Nguyen, Nam-Trung and Dao, Dzung Viet. 2018. "Ultra-thin LPCVD silicon carbide membrane: A promising platform for bio-cell culturing." 31st IEEE International Conference on Micro Electro Mechanical Systems (MEMS 2018). Belfast, Northern Ireland 21 - 25 Jan 2018 Piscataway, United States. https://doi.org/10.1109/MEMSYS.2018.8346557
A new structure of Tesla coupled nozzle in synthetic jet micro-pump
Tran, Canh-Dung, Pham, Phuc Hong, Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Dinh, Toan, Nguyen, Thanh Viet, Bui, Thanh Tung, Duc, Trinh Chu, Nguyen, Nam-Trung, Dao, Dzung Viet and Dau, Van Thanh. 2020. "A new structure of Tesla coupled nozzle in synthetic jet micro-pump." Sensors and Actuators A: Physical. 315, pp. 1-7. https://doi.org/10.1016/j.sna.2020.112296
Design and fabrication of electrothermal SiC nanoresonators for high-resolution nanoparticle sensing
Dinh, Toan, Phan, Hoang-Phuong, Kozeki, Takahiro, Qamar, Afzaal, Namazu, Takahiro, Zhu, Yong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2016. "Design and fabrication of electrothermal SiC nanoresonators for high-resolution nanoparticle sensing." 2016 IEEE 16th International Conference on Nanotechnology (IEEE-NANO 2016). Sendai, Japan 22 - 25 Aug 2016 Piscataway, United States. https://doi.org/10.1109/NANO.2016.7751454
Sensitive and fast response graphite pressure sensor fabricated by a solvent-free approach
Dinh, Toan, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Fastier-Wooller, Jarred, Foisal, Abu Riduan Md, Lafta, Waail Mahmod, Nguyen, Nam-Trung and Dao, Dzung Viet. 2017. "Sensitive and fast response graphite pressure sensor fabricated by a solvent-free approach." 16th IEEE SENSORS Conference (SENSORS 2017). Glasgow, United Kingdom 29 Oct - 01 Nov 2017 Piscataway, United States. https://doi.org/10.1109/ICSENS.2017.8233934
Environment-friendly wearable thermal flow sensors for noninvasive respiratory monitoring
Dinh, Toan, Phan, Hoang-Phuong, Qamar, Afzaal, Nguyen, Tuan-Khoa, Woodfield, Peter, Zhu, Yong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2017. "Environment-friendly wearable thermal flow sensors for noninvasive respiratory monitoring." 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems (MEMS 2017). Las Vegas, United States 22 - 26 Jan 2017 Piscataway, United States. https://doi.org/10.1109/MEMSYS.2017.7863578
Graphite on paper as material for sensitive thermoresistive sensors
Dinh, Toan, Phan, Hoang-Phuong, Dao, Dzung Viet, Woodfield, Peter, Qamar, Afzaal and Nguyen, Nam-Trung. 2015. "Graphite on paper as material for sensitive thermoresistive sensors." Journal of Materials Chemistry C. 3 (34), pp. 8776-8779. https://doi.org/10.1039/c5tc01650a
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
Piezo-Hall effect in single crystal p-type 3C-SiC(100) thin film grown by low pressure chemical vapor deposition
Qamar, Afzaal, Phan, H.-P., Dinh, Toan, Wang, Li, Dimitrijev, Sima and Dao, Dzung Viet. 2016. "Piezo-Hall effect in single crystal p-type 3C-SiC(100) thin film grown by low pressure chemical vapor deposition." RSC Advances: an international journal to further the chemical sciences. 6 (37), pp. 31191-31195. https://doi.org/10.1039/c6ra04501d
Nano strain-amplifier: Making ultra-sensitive piezoresistance in nanowires possible without the need of quantum and surface charge effects
Phan, Hoang-Phuong, Dinh, Toan, Kozeki, Takahiro, Nguyen, Tuan-Khoa, Qamar, Afzaal, Namazu, Takahiro, Nguyen, Nam-Trung and Dao, Dzung Viet. 2016. "Nano strain-amplifier: Making ultra-sensitive piezoresistance in nanowires possible without the need of quantum and surface charge effects." Applied Physics Letters. 109 (12). https://doi.org/10.1063/1.4963258
Fundamental piezo-Hall coefficients of single crystal p-type 3C-SiC for arbitrary crystallographic orientation
Qamar, Afzaal, Dao, Dzung Viet, Phan, Hoang-Phuong, Dinh, Toan and Dimitrijev, Sima. 2016. "Fundamental piezo-Hall coefficients of single crystal p-type 3C-SiC for arbitrary crystallographic orientation." Applied Physics Letters. 109 (9). https://doi.org/10.1063/1.4962048
Ultra-high strain in epitaxial silicon carbide nanostructures utilizing residual stress amplification
Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Dinh, Toan, Ina, Ginnosuke, Kermany, Atieh Ranjbar, Qamar, Afzaal, Han, Jisheng, Namazu, Takahiro, Maeda, Ryutaro, Dao, Dzung Viet and Nguyen, Nam-Trung. 2017. "Ultra-high strain in epitaxial silicon carbide nanostructures utilizing residual stress amplification." Applied Physics Letters. 110 (14). https://doi.org/10.1063/1.4979834
Thermoresistive effect for advanced thermal sensors: Fundamentals, design considerations, and applications
Dinh, Toan, Phan, Hoang-Phuong, Qamar, Afzaal, Woodfield, Peter, Nguyen, Nam-Trung and Dao, Dzung Viet. 2017. "Thermoresistive effect for advanced thermal sensors: Fundamentals, design considerations, and applications." IEEE Journal of Microelectromechanical Systems. 26 (5), pp. 966-986. https://doi.org/10.1109/JMEMS.2017.2710354
Thermal flow sensors for harsh environments
Balakrishnan, Vivekananthan, Phan, Hoang-Phuong, Dinh, Toan, Dao, Dzung Viet and Nguyen, Nam-Trung. 2017. "Thermal flow sensors for harsh environments." Sensors. 17 (9), pp. 1-31. https://doi.org/10.3390/s17092061
Self-sensing paper-based actuators employing ferromagnetic nanoparticles and graphite
Phan, Hoang-Phuong, Dinh, Toan, Nguyen, Tuan-Khoa, Vatani, Ashkan, Foisal, Abu Riduan Md, Qamar, Afzaal, Kermany, Atieh Ranjbar, Dao, Dzung Viet and Nguyen, Nam-Trung. 2017. "Self-sensing paper-based actuators employing ferromagnetic nanoparticles and graphite." Applied Physics Letters. 110 (14). https://doi.org/10.1063/1.4979701
Piezo-Hall effect and fundamental piezo-Hall coefficients of single crystal n-type 3C-SiC(100) with low carrier concentration
Qamar, Afzaal, Dao, Dzung, Dinh, Toan, Iacopi, Alan, Walker, Glenn, Phan, Hoang-Phuong, Hold, Leonie and Dimitrijev, Sima. 2017. "Piezo-Hall effect and fundamental piezo-Hall coefficients of single crystal n-type 3C-SiC(100) with low carrier concentration." Applied Physics Letters. 110 (16). https://doi.org/10.1063/1.4980849
Formation of silicon carbide nanowire on insulator through direct wet oxidation
Phan, Hoang-Phuong, Ina, Ginnosuke, Dinh, Toan, Kozeki, Takahiro, Nguyen, Tuan-Khoa, Namazu, Takahiro, Qamar, Afzaal, Dao, Dzung Viet and Nguyen, Nam-Trung. 2017. "Formation of silicon carbide nanowire on insulator through direct wet oxidation." Materials Letters. 196, pp. 280-283. https://doi.org/10.1016/j.matlet.2017.03.118
Unintentionally doped epitaxial 3C-SiC(111) nanothin film as material for highly sensitive thermal sensors at high temperatures
Dinh, Toan, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Balakrishnan, Vivekananthan, Cheng, Han-Hao, Hold, Leonie, Lacopi, Alan, Nguyen, Nam-Trung and Dao, Dzung. 2018. "Unintentionally doped epitaxial 3C-SiC(111) nanothin film as material for highly sensitive thermal sensors at high temperatures." IEEE Electron Device Letters. 39 (4), pp. 580-583. https://doi.org/10.1109/LED.2018.2808329
Photoresponse of a highly-rectifying 3C-SiC/Si heterostructure under UV and visible illuminations
Foisal, Abu Riduan Md, Dinh, Toan, Tanner, Philip, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Streed, Erik W. and Dao, Dzung Viet. 2018. "Photoresponse of a highly-rectifying 3C-SiC/Si heterostructure under UV and visible illuminations." IEEE Electron Device Letters. 39 (8), pp. 1219-1222. https://doi.org/10.1109/LED.2018.2850757
Isotropic piezoresistance of p-type 4H-SiC in (0001) plane
Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Dinh, Toan, Toriyama, Toshiyuki, Nakamura, Koichi, Foisal, Abu Riduan Md, Nguyen, Nam-Trung and Dao, Dzung Viet. 2018. "Isotropic piezoresistance of p-type 4H-SiC in (0001) plane." Applied Physics Letters. 113 (1). https://doi.org/10.1063/1.5037545
Highly sensitive pressure sensors employing 3C-SiC nanowires fabricated on a free standing structure
Phan, Hoang-Phuong, Dowling, Karen M., Nguyen, Tuan-Khoa, Dinh, Toan, Senesky, Debbie G., Namazu, Takahiro, Dao, Dzung Viet and Nguyen, Nam-Trung. 2018. "Highly sensitive pressure sensors employing 3C-SiC nanowires fabricated on a free standing structure." Materials and Design. 156, pp. 16-21. https://doi.org/10.1016/j.matdes.2018.06.031
Highly sensitive p-Type 4H-SiC van der Pauw sensor
Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Han, Jisheng, Dinh, Toan, Foisal, Abu Riduan Md, Dimitrijev, Sima, Zhu, Yong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2018. "Highly sensitive p-Type 4H-SiC van der Pauw sensor." RSC Advances: an international journal to further the chemical sciences. 8 (6), pp. 3009-3013. https://doi.org/10.1039/c7ra11922d
Highly sensitive 4H-SiC pressure sensor at cryogenic and elevated temperatures
Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Dinh, Toan, Dowling, Karen M., Foisal, Abu Riduan Md, Senesky, Debbie G., Nguyen, Nam-Trung and Dao, Dzung Viet. 2018. "Highly sensitive 4H-SiC pressure sensor at cryogenic and elevated temperatures." Materials and Design. 156, pp. 441-445. https://doi.org/10.1016/j.matdes.2018.07.014
Highly sensitive 3C-SiC on glass based thermal flow sensor realized using MEMS technology
Balakrishnan, Vivekananthan, Dinh, Toan, Phan, Hoang-Phuong, Dao, Dzung and Nguyen, Nam-Trung. 2018. "Highly sensitive 3C-SiC on glass based thermal flow sensor realized using MEMS technology." Sensors and Actuators A: Physical. 279, pp. 293-305. https://doi.org/10.1016/j.sna.2018.06.025
High-temperature tolerance of the piezoresistive effect in p-4H-SiC for harsh environment sensing
Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Dinh, Toan, Foisal, Abu Riduan Md, Nguyen, Nam-Trung and Dao, Dzung. 2018. "High-temperature tolerance of the piezoresistive effect in p-4H-SiC for harsh environment sensing." Journal of Materials Chemistry C. 6 (32), pp. 8613-8617. https://doi.org/10.1039/c8tc03094d
Degraded boiling heat transfer from hotwire in ferrofluid due to particle deposition
Vatani, Ashkan, Woodfield, Peter Lloyd, Dinh, Toan, Phan, Hoang-Phuong, Nguyen, Nam-Trung and Dao, Dzung. 2018. "Degraded boiling heat transfer from hotwire in ferrofluid due to particle deposition." Applied Thermal Engineering. 142, pp. 255-261. https://doi.org/10.1016/j.applthermaleng.2018.06.064
An on-chip SiC MEMS device with integrated heating, sensing, and microfluidic cooling systems
Dinh, Toan, Phan, Hoang-Phuong, Kashaninejad, Navid, Nguyen, Tuan-Khoa, Dao, Dzung Viet and Nguyen, Nam-Trung. 2018. "An on-chip SiC MEMS device with integrated heating, sensing, and microfluidic cooling systems." Advanced Materials Interfaces. 5 (20). https://doi.org/10.1002/admi.201800764
A rapid and cost-effective metallization technique for 3C-SiC MEMS using direct wire bonding
Foisal, Abu Riduan Md, Phan, Hoang-Phuong, Dinh, Toan, Nguyen, Tuan-Khoa, Nguyen, Nam-Trung and Dao, Dzung. 2018. "A rapid and cost-effective metallization technique for 3C-SiC MEMS using direct wire bonding." RSC Advances: an international journal to further the chemical sciences. 8 (28), pp. 15310-15314. https://doi.org/10.1039/c8ra00734a
Low-cost graphite on paper pressure sensor for a robot gripper with a trivial fabrication process
Fastier-Wooller, Jarred, Dinh, Toan, Dau, Van, Phan, Hoang-Phuong and Dao, Dzung. 2018. "Low-cost graphite on paper pressure sensor for a robot gripper with a trivial fabrication process." Sensors. 18 (10), pp. 1-11. https://doi.org/10.3390/s18103300
Thermoelectrical Effect in SiC for High-Temperature MEMS Sensors
Dinh, Toan, Nguyen, Nam-Trung and Dao, Dzung Viet. Oechsner, Andreas (ed.) 2018. Thermoelectrical Effect in SiC for High-Temperature MEMS Sensors. Singapore. Springer.
Optical and Electrical Characterizations of Nanoscale Robust 3C-SiC Membrane for UV Sensing Applications
Foisal, A. R. M., Dinh, T., Iacopi, A., Hold, L., Streed, E. W. and Dao, D. V.. 2018. "Optical and Electrical Characterizations of Nanoscale Robust 3C-SiC Membrane for UV Sensing Applications." Key Engineering Materials. 775, pp. 278-282. https://doi.org/10.4028/www.scientific.net/KEM.775.278
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.
Pseudo-Hall Effect in Single Crystal n-Type 3C-SiC(100) Thin Film
Qamar, Afzaal, Dao, Dzung Viet, Han, Jisheng, Iacopi, Alan, Dinh, Toan, Phan, Hoang-Phuong and Dimitrijev, Sima. 2017. "Pseudo-Hall Effect in Single Crystal n-Type 3C-SiC(100) Thin Film." Key Engineering Materials. 733, pp. 3-7. https://doi.org/10.4028/www.scientific.net/KEM.733.3
Stretchable respiration sensors: Advanced designs and multifunctional platforms for wearable physiological monitoring
Dinh, Toan, Nguyen, Thanh, Phan, Hoang-Phuong, Nguyen, Nam-Trung, Dao, Dzung Viet and Bell, John. 2020. "Stretchable respiration sensors: Advanced designs and multifunctional platforms for wearable physiological monitoring." Biosensors and Bioelectronics. 166. https://doi.org/10.1016/j.bios.2020.112460
ScAlN/3C-SiC/Si platform for monolithic integration of highly sensitive piezoelectric and piezoresistive devices
Qamar, Afzaal, Phan, Hoang-Phuong, Dinh, Toan, Nguyen, Nam-Trung and Rais-Zadeh, Mina. 2020. "ScAlN/3C-SiC/Si platform for monolithic integration of highly sensitive piezoelectric and piezoresistive devices." Applied Physics Letters. 116 (13). https://doi.org/10.1063/5.0004943
Highly-doped SiC resonator with ultra-large tuning frequency range by Joule heating effect
Guzman, Pablo, Dinh, Toan, Phan, Hoang-Phuong, Joyd, Abbin Perunnilathil, Qamar, Afzaal, Bahreyni, Behraad, Zhu, Yong, Rais-Zadeh, Mina, Li, Huaizhong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2020. "Highly-doped SiC resonator with ultra-large tuning frequency range by Joule heating effect." Materials and Design. 194. https://doi.org/10.1016/j.matdes.2020.108922
Soft ionic liquid multi-point touch sensor
Fastier-Wooller, Jarred, Dinh, Toan, Dau, Van Thanh and Dao, Dzung. 2019. "Soft ionic liquid multi-point touch sensor." RSC Advances: an international journal to further the chemical sciences. 9 (19), pp. 10733-10738. https://doi.org/10.1039/c9ra00322c
3C-SiC/Si Heterostructure: An excellent platform for position-sensitive detectors based on photovoltaic effect
Foisal, Abu Riduan Md, Nguyen, Thanh, Dinh, Toan, Nguyen, Tuan-Khoa, Tanner, Philip, Streed, Erik W. and Dao, Dzung Viet. 2019. "3C-SiC/Si Heterostructure: An excellent platform for position-sensitive detectors based on photovoltaic effect." ACS Applied Materials and Interfaces. 11 (43), pp. 40980-40987. https://doi.org/10.1021/acsami.9b15855
Opto-electronic coupling in semiconductors: Towards ultrasensitive pressure sensing
Nguyen, Thanh, Dinh, Toan, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Foisal, Abu Riduan Md, Nguyen, Nam-Trung and Dao, Dzung Viet. 2020. "Opto-electronic coupling in semiconductors: Towards ultrasensitive pressure sensing." Journal of Materials Chemistry C. 8 (14), pp. 4713-4721. https://doi.org/10.1039/d0tc00229a
High temperature silicon-carbide-based flexible electronics for monitoring hazardous environments
Phan, Hoang-Phuong, Dinh, Toan, Nguyen, Tuan-Khoa, Qamar, Afzaal, Nguyen, Thanh, Dau, Van, Han, Jisheng, Dao, Dzung Viet and Nguyen, Nam-Trung. 2020. "High temperature silicon-carbide-based flexible electronics for monitoring hazardous environments." Journal of Hazardous Materials. 394. https://doi.org/10.1016/j.jhazmat.2020.122486
High thermosensitivity of silicon nanowires induced by amorphization
Dinh, Toan, Phan, Hoang-Phuong, Kozehi, Takahiro, Qamar, Afzaal, Fujii, Tatsuya, Namazu, Takahiro, Nguyen, Nam-Trung and Dao, Dzung Viet. 2016. "High thermosensitivity of silicon nanowires induced by amorphization." Materials Letters. 177, pp. 80-84. https://doi.org/10.1016/j.matlet.2016.04.171
Flexible and multifunctional electronics fabricated by a solvent-free and user-friendly method
Dinh, Toan, Phan, Hoang-Phuong, Qamar, Afzaal, Nguyen, Nam-Trung and Dao, Dzung Viet. 2016. "Flexible and multifunctional electronics fabricated by a solvent-free and user-friendly method." RSC Advances: an international journal to further the chemical sciences. 6 (81), pp. 77267-77274. https://doi.org/10.1039/c6ra14646e
Superior robust ultrathin single-crystalline silicon carbide membrane as a versatile platform for biological applications
Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Kamble, Harshad, Vadivelu, Raja, Dinh, Toan, Iacopi, Alan, Walker, Glenn, Hold, Leonie, Nguyen, Nam-Trung and Dao, Dzung Viet. 2017. "Superior robust ultrathin single-crystalline silicon carbide membrane as a versatile platform for biological applications." ACS Applied Materials and Interfaces. 9 (48), pp. 41641-41647. https://doi.org/10.1021/acsami.7b15381
Steady-state analytical model of suspended p-type 3C-SiC bridges under consideration of Joule heating
Balakrishnan, Vivekananthan, Dinh, Toan, Phan, Hoang-Phuong, Kozeki, Takahiro, Namazu, Takahiro, Dao, Dzung and Nguyen, Nam-Trung. 2017. "Steady-state analytical model of suspended p-type 3C-SiC bridges under consideration of Joule heating." Journal of Micromechanics and Microengineering. 27 (5). https://doi.org/10.1088/1361-6439/aa7180
Solvent-free fabrication of biodegradable hot-film flow sensor for noninvasive respiratory monitoring
Dinh, Toan, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Qamar, Afzaal, Woodfield, Peter, Zhu, Yong, Nguyen, Nam-Trung and Dao, Dzung. 2017. "Solvent-free fabrication of biodegradable hot-film flow sensor for noninvasive respiratory monitoring." Journal of Physics D: Applied Physics. 50 (21). https://doi.org/10.1088/1361-6463/aa6cd6
Single-crystalline 3C-SiC anodically bonded onto glass: an excellent platform for high-temperature electronics and bioapplications
Phan, Hoang-Phuong, Cheng, Han-Hao, Dinh, Toan, Wood, Barry, Nguyen, Tuan-Khoa, Mu, Fengwen, Kamble, Harshad, Vadivelu, Raja, Walker, Glenn, Hold, Leonie, Iacopi, Alan, Haylock, Ben, Dao, Dzung Viet, Lobino, Mirko, Suga, Tadatomo and Nguyen, Nam-Trung. 2017. "Single-crystalline 3C-SiC anodically bonded onto glass: an excellent platform for high-temperature electronics and bioapplications." ACS Applied Materials and Interfaces. 9 (23), pp. 27365-27371. https://doi.org/10.1021/acsami.7b06661
Pushing the limits of piezoresistive effect by optomechanical coupling in 3C-SiC/Si heterostructure
Foisal, Abu Riduan Md, Phan, Hoang-Phuong, Dinh, Toan, Nguyen, Tuan-Khoa, Tanner, Philip, Streed, Erik W. and Dao, Dzung Viet. 2017. "Pushing the limits of piezoresistive effect by optomechanical coupling in 3C-SiC/Si heterostructure." ACS Applied Materials and Interfaces. 9 (46), pp. 39921-39925. https://doi.org/10.1021/acsami.7b12128
Experimental investigation of piezoresistive effect in p-Type 4H-SiC
Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Dinh, Toan, Han, Jisheng, Dimitrijev, Sima, Tanner, Philip, Foisal, Abu Riduan Md, Zhu, Yong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2017. "Experimental investigation of piezoresistive effect in p-Type 4H-SiC." IEEE Electron Device Letters. 38 (7), pp. 955-958. https://doi.org/10.1109/LED.2017.2700402
Strain effect in highly-doped n-Type 3C-SiC-on-glass substrate for mechanical sensors and mobility enhancement
Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Dinh, Toan, Cheng, Han‐Hao, Mu, Fengwen, Iacopi, Alan, Hold, Leonie, Dao, Dzung Viet, Suga, Tadatomo, Senesky, Debbie G. and Nguyen, Nam‐Trung. 2018. "Strain effect in highly-doped n-Type 3C-SiC-on-glass substrate for mechanical sensors and mobility enhancement." Physica Status Solidi A: Applications and Materials Science. 215 (24). https://doi.org/10.1002/pssa.201800288
Robust free-standing nano-thin SiC membranes enable direct photolithography for MEMS sensing applications
Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Dinh, Toan, Iacopi, Alan, Hold, Leonie, Shiddiky, Muhammad J. A., Dao, Dzung Viet and Nguyen, Nam-Trung. 2017. "Robust free-standing nano-thin SiC membranes enable direct photolithography for MEMS sensing applications." Advanced Engineering Materials. 20 (1). https://doi.org/10.1002/adem.201700858
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
Optothermotronic effect as an ultrasensitive thermal sensing technology for solid-state electronics
Dinh, T., Nguyen, T., Foisal, A. R. M., Phan, H.-P., Nguyen, T.-K., Nguyen, N.-T. and Dao, D. V.. 2020. "Optothermotronic effect as an ultrasensitive thermal sensing technology for solid-state electronics." Science Advances. 6 (22), pp. 1-9. https://doi.org/10.1126/sciadv.aay2671
Advances in Rational Design and Materials of High Performance Stretchable Electromechanical Sensors
Dinh, Toan, Nguyen, Thanh, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Dau, VanThanh, Nguyen, Nam-Trung and Dao, Dzung Viet. 2020. "Advances in Rational Design and Materials of High Performance Stretchable Electromechanical Sensors." Small. 16 (14), pp. 1-25. https://doi.org/10.1002/smll.201905707
Piezoresistive effect in p-Type 3C-SiC at high temperatures characterized using Joule heating
Phan, Hoang-Phuong, Dinh, Toan, Kozeki, Takahiro, Qamar, Afzaal, Namazu, Takahiro, Dimitrijev, Sima, Nguyen, Nam-Trung and Dao, Dzung. 2016. "Piezoresistive effect in p-Type 3C-SiC at high temperatures characterized using Joule heating." Scientific Reports. 6, pp. 1-9. https://doi.org/10.1038/srep28499
Wireless battery-free SiC sensors operating in harsh environments using resonant inductive coupling
Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Dinh, Toan, Qamar, Afzaal, Iacopi, Alan, Lu, Junwei, Dao, Dzung Viet, Rais-Zadeh, Mina and Nguyen, Nam-Trung. 2019. "Wireless battery-free SiC sensors operating in harsh environments using resonant inductive coupling." IEEE Electron Device Letters. 40 (4), pp. 609-612. https://doi.org/10.1109/LED.2019.2899068
Self-Powered Broadband (UV-NIR) Photodetector Based on 3C-SiC/Si Heterojunction
Foisal, Abu Riduan Md, Dinh, Toan, Nguyen, Thanh Viet, Tanner, Philip, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Haylock, Ben, Streed, Erik W., Lobino, Mirko and Dao, Dzung Viet. 2019. "Self-Powered Broadband (UV-NIR) Photodetector Based on 3C-SiC/Si Heterojunction." IEEE Transactions on Electron Devices. 66 (4), pp. 1804-1809. https://doi.org/10.1109/TED.2019.2899742
Dependence of offset voltage in AlGaN/GaN van der Pauw devices under mechanical strain
Nguyen, Hong-Quan, Moghadam, Hamid Amini, Dinh, Toan, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Han, Jisheng, Dimitrijev, Sima, Nguyen, Nam-Trung and Dao, Dzung Viet. 2019. "Dependence of offset voltage in AlGaN/GaN van der Pauw devices under mechanical strain." Materials Letters. 244, pp. 66-69. https://doi.org/10.1016/j.matlet.2019.02.050
A versatile PDMS submicrobead/graphene oxide nanocomposite ink for the direct ink writing of wearable micron-scale tactile sensors
Shi, Ge, Lowe, Sean E., Teo, Adrian J.T., Dinh, Toan K., Tan, Say Hwa, Qin, Jiadong, Zhang, Yubai, Zhong, Yu Lin and Zhao, Huijun. 2019. "A versatile PDMS submicrobead/graphene oxide nanocomposite ink for the direct ink writing of wearable micron-scale tactile sensors." Applied Materials Today. 16, pp. 482-492. https://doi.org/10.1016/j.apmt.2019.06.016
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
Novel low-cost sensor for human bite force measurement
Fastier-Wooller, Jarred, Phan, Hoang-Phuong, Dinh, Toan, Nguyen, Tuan-Khoa, Cameron, Andrew, Ochsner, Andreas and Dao, Dzung Viet. 2016. "Novel low-cost sensor for human bite force measurement." Sensors. 16 (8). https://doi.org/10.3390/s16081244
3C-SiC on glass: an ideal platform for temperature sensors under visible light illumination
Foisal, Abu Riduan Md, Phan, Hoang-Phuong, Kozeki, Takahiro, Dinh, Toan, Nguyen, Tuan-Khoa, Qamar, Afzaal, Lobino, Mirko, Namazu, Takahiro and Dao, Dzung Viet. 2016. "3C-SiC on glass: an ideal platform for temperature sensors under visible light illumination." RSC Advances: an international journal to further the chemical sciences. 6 (90), pp. 87124-87127. https://doi.org/10.1039/c6ra19418d
The effect of device geometry and crystal orientation on the stress-dependent offset voltage of 3C-SiC(100) four terminal devices
Qamar, Afzaal, Phan, Hoang-Phuong, Han, Jisheng, Tanner, Philip, Dinh, Toan, Wang, Li, Dimitrijev, Sima and Dao, Dzung Viet. 2015. "The effect of device geometry and crystal orientation on the stress-dependent offset voltage of 3C-SiC(100) four terminal devices." Journal of Materials Chemistry C. 3 (34), pp. 8804-8809. https://doi.org/10.1039/c5tc01898f
Pseudo-Hall effect in single crystal 3C-SiC(111) four-terminal devices
Qamar, Afzaal, Dao, Dzung Viet, Han, Jisheng, Phan, Hoang-Phuong, Younis, Adnan, Tanner, Philip, Dinh, Toan, Wang, Li and Dimitrijev, Sima. 2015. "Pseudo-Hall effect in single crystal 3C-SiC(111) four-terminal devices." Journal of Materials Chemistry C. 3 (48), pp. 12394-12398. https://doi.org/10.1039/c5tc02984h
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
Characterization of the piezoresistance in highly doped p-type 3C-SiC at cryogenic temperatures
Phan, Hoang-Phuong, Dowling, Karen M., Nguyen, Tuan-Khoa, Chapin, Caitlin A., Dinh, Toan, Miller, Ruth A., Han, Jisheng, Iacopi, Alan, Senesky, Debbie G., Dao, Dzung Viet and Nguyen, Nam-Trung. 2018. "Characterization of the piezoresistance in highly doped p-type 3C-SiC at cryogenic temperatures." RSC Advances: an international journal to further the chemical sciences. 8 (52), pp. 29976-29979. https://doi.org/10.1039/c8ra05797d
A large pseudo-Hall effect in n-type 3C-SiC(1 0 0) and its dependence on crystallographic orientation for stress sensing applications
Qamar, Afzaal, Dinh, Toan, Jafari, Mohsen, Iacopi, Alan, Dimitrijev, Sima and Dao, Dzung Viet. 2018. "A large pseudo-Hall effect in n-type 3C-SiC(1 0 0) and its dependence on crystallographic orientation for stress sensing applications." Materials Letters. 213, pp. 11-14. https://doi.org/10.1016/j.matlet.2017.10.117
A generalized analytical model for joule heating of segmented wires
Balakrishnan, Vivekananthan, Dinh, Toan, Phan, Hoang-Phuong, Dao, Dzung Viet and Nguyen, Nam-Trung. 2018. "A generalized analytical model for joule heating of segmented wires." Journal of Heat Transfer: Transactions of the ASME. 140 (7), pp. 072001-1-072001-10. https://doi.org/10.1115/1.4038829
A double decomposition-based modelling approach to forecast weekly solar radiation
Prasad, Ramendra, Ali, Mumtaz, Xiang, Yong and Khan, Huma. 2020. "A double decomposition-based modelling approach to forecast weekly solar radiation." Renewable Energy. 152, pp. 9-22. https://doi.org/10.1016/j.renene.2020.01.005
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
Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Yaseen, Z.. 2020. "Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts." Journal of Hydrology. 584, pp. 1-15. https://doi.org/10.1016/j.jhydrol.2020.124647
The piezoresistive effect in top-down fabricated p-type 3C-SiC nanowires
Phan, Hoang-Phuong, Dinh, Toan, Kozeki, Takahiro, Nguyen, Tuan-Khoa, Qamar, Afzaal, Namazu, Takahiro, Nguyen, Nam-Trung and Dao, Dzung Viet. 2015. "The piezoresistive effect in top-down fabricated p-type 3C-SiC nanowires." IEEE Electron Device Letters. 37 (8), pp. 1029-1032. https://doi.org/10.1109/LED.2016.2579020
Piezoresistive effect of p-type single crystalline 3C-SiC on (111) plane
Dao, Dzung Viet, Phan, Hoang-Phuong, Qamar, Afzaal and Dinh, Toan. 2016. "Piezoresistive effect of p-type single crystalline 3C-SiC on (111) plane." RSC Advances: an international journal to further the chemical sciences. 6 (26), pp. 21302-21307. https://doi.org/10.1039/c5ra28164d
Lithography and etching-free microfabrication of silicon carbide on insulator using direct UV laser ablation
Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Dowling, Karen M., Yalamarthy, Ananth Saran, Dinh, Toan, Balakrishnan, Vivekananthan, Liu, Tanya, Chapin, Caitlin A., Truong, Quoc-Dung, Dau, Van Thanh, Goodson, Kenneth E., Senesky, Debbie G., Dao, Dzung Viet and Nguyen, Nam-Trung. 2020. "Lithography and etching-free microfabrication of silicon carbide on insulator using direct UV laser ablation." Advanced Engineering Materials. 22 (4), pp. 1-7. https://doi.org/10.1002/adem.201901173
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
Long-lived, transferred crystalline silicon carbide nanomembranes for implantable flexible electronics
Phan, Hoang-Phuong, Zhong, Yishan, Nguyen, Tuan-Khoa, Park, Yoonseok, Dinh, Toan, Song, Enming, Vadivelu, Raja Kumar, Masud, Mostafa Kamal, Li, Jinghua, Shiddiky, Muhammad J. A., Dao, Dzung, Yamauchi, Yusuke, Rogers, John A. and Nguyen, Nam-Trung. 2019. "Long-lived, transferred crystalline silicon carbide nanomembranes for implantable flexible electronics." ACS Nano. 13 (10), pp. 11572-11581. https://doi.org/10.1021/acsnano.9b05168
Thermoresistance of p-Type 4H–SiC Integrated MEMS Devices for High-Temperature Sensing
Dinh, Toan, Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Nguyen, Quan, Han, Jisheng, Dimitrijev, Sima, Nguyen, Nam-Trung and Dao, Dzung Viet. 2019. "Thermoresistance of p-Type 4H–SiC Integrated MEMS Devices for High-Temperature Sensing." Advanced Engineering Materials. 21 (3), pp. 1-7. https://doi.org/10.1002/adem.201801049
Carbon nanotube four-terminal devices for pressure sensing applications
Dinh, Toan, Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Tran, Canh-Dung, Dau, Van, Nguyen, Nam-Trung and Dao, Dzung Viet. 2019. "Carbon nanotube four-terminal devices for pressure sensing applications." Dao, Dzung, Howlett, Robert J., Setchi, Rossi and Vlacic, Ljubo (ed.) Sustainable design and manufacturing 2018: proceedings of the 5th international conference on sustainable design and manufacturing (KES-SDM-18). Switzerland. Springer. pp. 199-208
Giant piezoresistive effect by optoelectronic coupling in a heterojunction
Nguyen, Thanh, Dinh, Toan, Foisal, Abu Riduan Md, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Nguyen, Nam-Trung and Dao, Dzung Viet. 2019. "Giant piezoresistive effect by optoelectronic coupling in a heterojunction." Nature Communications. 10 (1), pp. 1-8. https://doi.org/10.1038/s41467-019-11965-5
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
An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks
Barzegar, Rahim, Sattarpour, Masoud, Deo, Ravinesh, Fijani, Elham and Adamowski, Jan. 2020. "An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks." Neural Computing and Applications. 32 (13), pp. 9065-9080. https://doi.org/10.1007/s00521-019-04418-z
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
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
Polyacrylonitrile-carbon nanotube-polyacrylonitrile: a versatile robust platform for flexible multifunctional electronic devices in medical applications
Dinh, Toan, Dau, Van, Tran, Canh-Dung, Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2019. "Polyacrylonitrile-carbon nanotube-polyacrylonitrile: a versatile robust platform for flexible multifunctional electronic devices in medical applications." Macromolecular Materials and Engineering. 304 (6), pp. 19000141-19000148. https://doi.org/10.1002/mame.201900014
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
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
Fabrication of a sensitive pressure sensor using carbon nanotube micro-yarns
Dinh, Toan, Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Fastier-Wooller, Jarred, Tran, Canh-Dung and Dao, Dzung Viet. 2017. "Fabrication of a sensitive pressure sensor using carbon nanotube micro-yarns." 16th IEEE SENSORS Conference (SENSORS 2017). Glasgow, United Kingdom 29 Oct - 01 Nov 2017 United States. https://doi.org/10.1109/ICSENS.2017.8233966
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
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 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2017.L1.mccarthy
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
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
Electrical resistance of carbon nanotube yarns under compressive transverse pressure
Dinh, Toan, Nguyen, Tuan-Khoa, Phan, Hoang-Phuong, Fastier-Wooller, Jarred, Tran, Canh-Dung, Nguyen, Nam-Trung and Dao, Dzung Viet. 2018. "Electrical resistance of carbon nanotube yarns under compressive transverse pressure." IEEE Electron Device Letters. 39 (4), pp. 584-587. https://doi.org/10.1109/LED.2018.2806181
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
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
Electrically stable carbon nanotube yarn under tensile strain
Nguyen, Tuan-Khoa, Dinh, Toan, Phan, Hoang-Phuong, Tran, Canh-Dung, Foisal, Abu Riduan Md. and Dao, Dzung Viet. 2017. "Electrically stable carbon nanotube yarn under tensile strain." IEEE Electron Device Letters. 38 (9), pp. 1331-1334. https://doi.org/10.1109/LED.2017.2726016
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
Environment-friendly carbon nanotube based flexible electronics for noninvasive and wearable healthcare
Dinh, Toan, Phan, Hoang-Phuong, Nguyen, Tuan-Khoa, Qamar, Afzaal, Foisal, Abu Riduan Md, Nguyen, Thanh Viet, Tran, Canh-Dung, Zhu, Yong, Nguyen, Nam-Trung and Dao, Dzung Viet. 2016. "Environment-friendly carbon nanotube based flexible electronics for noninvasive and wearable healthcare." Journal of Materials Chemistry C. 4 (42), pp. 10061-10068. https://doi.org/10.1039/c6tc02708c
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
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
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 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
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.
Micro cam system driven by electrostatic comb-drive actuators based on SOI-MEMS technology
Pham, Phuc Hong, Dinh, Toan Khac, Dang, Lam Bao, Nguyen, Khoa Tuan and Dao, Dzung Viet. 2015. "Micro cam system driven by electrostatic comb-drive actuators based on SOI-MEMS technology." Microsystem Technologies: micro and nanosystems information storage and processing systems. 21 (3), pp. 699-706. https://doi.org/10.1007/s00542-014-2086-y
Thermoresistive properties of p-type 3C-SiC nanoscale thin films for high-temperature MEMS thermal-based sensors
Dinh, Toan, Phan, Hoang-Phuong, Kozeki, Takahiro, Qamar, Afzaal, Namazu, Takahiro, Nguyen, Nam-Trung and Dao, Dzung Viet. 2015. "Thermoresistive properties of p-type 3C-SiC nanoscale thin films for high-temperature MEMS thermal-based sensors." RSC Advances: an international journal to further the chemical sciences. 5 (128), pp. 106083-106086. https://doi.org/10.1039/c5ra20289b
The effect of strain on the electrical conductance of p-type nanocrystalline silicon carbide thin films
Phan, Hoang-Phuong, Dao, Dzung Viet, Wang, Li, Dinh, Toan, Nguyen, Nam-Trung, Qamar, Afzaal, Tanner, Philip, Dimitrijev, Sima and Zhu, Yong. 2015. "The effect of strain on the electrical conductance of p-type nanocrystalline silicon carbide thin films." Journal of Materials Chemistry C. 3 (6), pp. 1172-1176. https://doi.org/10.1039/c4tc02679a
The dependence of offset voltage in p-type 3C-SiC van der Pauw device on applied strain
Qamar, Afzaal, Phan, Hoang-Phuong, Dao, Dzung Viet, Tanner, Philip, Dinh, Toan, Wang, Li and Dimitrijev, Sima. 2015. "The dependence of offset voltage in p-type 3C-SiC van der Pauw device on applied strain." IEEE Electron Device Letters. 36 (7), pp. 708-710. https://doi.org/10.1109/LED.2015.2435153
Piezoresistive effect of p-type silicon nanowires fabricated by a top-down process using FIB implantation and wet etching
Phan, Hoang-Phuong, Kozeki, Takahiro, Dinh, Toan, Fujii, Tatsuya, Qamar, Afzaa, Zhu, Yong, Namazu, Takahiro, Nguyen, Nam-Trung and Dao, Dzung Viet. 2015. "Piezoresistive effect of p-type silicon nanowires fabricated by a top-down process using FIB implantation and wet etching." RSC Advances: an international journal to further the chemical sciences. 5 (100), pp. 82121-82126. https://doi.org/10.1039/c5ra13425k
Orientation dependence of the pseudo-Hall effect in p-type 3C-SiC four-terminal devices under mechanical stress
Phan, Hoang-Phuong, Qamar, Afzaal, Dao, Dzung Viet, Dinh, Toan, Wang, Li, Han, Jisheng, Tanner, Philip, Dimitrijev, Sima and Nguyen, Nam-Trung. 2015. "Orientation dependence of the pseudo-Hall effect in p-type 3C-SiC four-terminal devices under mechanical stress." RSC Advances: an international journal to further the chemical sciences. 5 (69), pp. 56377-56381. https://doi.org/10.1039/c5ra10144a
Influence of external mechanical stress on electrical properties of single-crystal n-3C-SiC/p-Si heterojunction diode
Qamar, Afzaal, Dao, Dzung Viet, Tanner, Philip, Phan, Hoang-Phuong, Dinh, Toan and Dimitrijev, Sima. 2015. "Influence of external mechanical stress on electrical properties of single-crystal n-3C-SiC/p-Si heterojunction diode." Applied Physics Express. 8 (5), pp. 061302-1. https://doi.org/10.7567/APEX.8.061302
Charge transport and activation energy of amorphous silicon carbide thin film on quartz at elevated temperature
Dinh, Toan, Dao, Dzung Viet, Phan, Hoang-Phuong, Wang, Li, Qamar, Afzaal, Nguyen, Nam-Trung, Tanner, Philip and Rybachuk, Maksym. 2015. "Charge transport and activation energy of amorphous silicon carbide thin film on quartz at elevated temperature." Applied Physics Express. 8 (6). https://doi.org/10.7567/APEX.8.061303
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
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.
Electrical properties of p-type 3C-SiC/Si heterojunction diode under mechanical stress
Qamar, Afzaal, Tanner, Philip, Dao, Dzung Viet, Phan, Hoang-Phuong and Dinh, Toan. 2014. "Electrical properties of p-type 3C-SiC/Si heterojunction diode under mechanical stress." IEEE Electron Device Letters. 35 (12), pp. 1293-1295. https://doi.org/10.1109/LED.2014.2361359
Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers
Deo, Ravinesh C., Nathan, Graham J. and Mi, Jianchun. 2013. "Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers." Physics of Fluids. 25 (1). https://doi.org/10.1063/1.4776782
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.
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
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). https://doi.org/10.1063/1.2959171
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 Australia. Modelling and Simulation Society of Australia and New Zealand .
On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950 - 2005
Deo, R. C., McAlpine, C. A., Syktus, J., McGowan, H. A. and Phinn, S.. 2007. "On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950 - 2005." Oxley, Les and Kulasiri, Don (ed.) 17th International Congress on Modelling and Simulation (MODSIM07). Christchurch, New Zealand 10 - 13 Dec 2007 Australia. Modelling and Simulation Society of Australia and New Zealand .
Characterization of turbulent jets from high-aspect-ratio rectangular nozzles
Mi, J., Deo, R. C. and Nathan, G. J.. 2005. "Characterization of turbulent jets from high-aspect-ratio rectangular nozzles." Physics of Fluids. 17 (6). https://doi.org/10.1063/1.1928667
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.
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
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
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.
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
The simulated impact of land cover change on climate extremes in eastern Australia
Deo, R. C., Syktus, J. I., McAlpine, C. A. and Wong, K. K.. 2009. "The simulated impact of land cover change on climate extremes in eastern Australia." Anderssen, R. S., Braddock, R. D. and Newham, L. T. H. (ed.) 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Cairns, Australia 13 - 17 Jul 2009 Canberra, Australia. Modelling and Simulation Society of Australia and New Zealand .
Effect of exit Reynolds number on self-preservation of a plane jet
Mi, Jianchun, Feng, Baoping, Deo, Ravinesh C. and Nathan, Graham J.. 2009. "Effect of exit Reynolds number on self-preservation of a plane jet." Chinese Physics B. 58 (11), pp. 7756-7764.
A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate
McAlpine, C. A., Syktus, J., Ryan, J. G., Deo, R. C., McKeon, G. M., McGowan, H. A. and Phinn, S. R.. 2009. "A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate." Global Change Biology. 15 (9), pp. 2206-2223. https://doi.org/10.1111/j.1365-2486.2009.01939.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
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 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
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.