Browse by Fields of Research (ANZSRC 2008)

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Number of items at this level: 34.

Ghimire, Sujan and Deo, Ravinesh C. and 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 - Article 2407). pp. 1-42.

Kisi, Ozgur and Choubin, Bahram and 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. ISSN 0262-6667

Ali, Mumtaz and Deo, Ravinesh C. and 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. ISSN 0022-1694

Rahmati, Omid and Kornejady, Aiding and Samadi, Mahmood and Deo, Ravinesh C. and Conoscenti, Christian and Lombardo, Luigi and Dayal, Kavina and Taghizadeh-Mehrjardi, Ruhollah and Pourghasemi, Hamid Reza and 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. ISSN 0048-9697

Roshni, Thendiyath and Jha, Madan K. and 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. ISSN 0920-4741

Deo, Ravinesh C. and Sahin, Mehmet and 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. ISSN 1364-0321

Wen, Xiaohu and Feng, Qi and Deo, Ravinesh C. and Wu, Min and Yin, Zhenliang and 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. ISSN 0022-1694

Maroufpoor, Saman and Sanikhani, Hadi and Kisi, Ozgur and 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. ISSN 0899-8418

Kouadio, Louis and Deo, Ravinesh C. and Byrareddy, Vivekananda and Adamowski, Jan F. and 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. ISSN 0168-1699

Ali, Mumtaz and Deo, Ravinesh C. and 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. ISSN 0169-8095

Zheng, Xiaoyao and Luo, Yonglong and Sun, Liping and Ding, Xintao and Zhang, Ji (2018) A novel social network hybrid recommender system based on hypergraph topologic structure. World Wide Web, 21 (4). pp. 985-1013. ISSN 1386-145X

Sanikhani, Hadi and Deo, Ravinesh C. and Yaseen, Zaher Mundheer and Eray, Okan and Kisi, Ozgur (2018) Non-tuned data intelligent model for soil temperature estimation: a new approach. Geoderma, 330. pp. 52-64. ISSN 0016-7061

Kim, Dookie and Roy, Sanjiban Sekhar and Lansivaara, Tim and Deo, Ravinesh C. and Samui, Pijush, eds. (2018) Handbook of research on predictive modeling and optimization methods in science and engineering. IGI Publishing (IGI Global), United States. ISBN 9781522547662

Prasad, Ramendra and Deo, Ravinesh C. and 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. ISSN 0016-7061

Fallah, Seyedeh Narjes and Deo, Ravinesh Chand and Shojafar, Mohammad and 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).

Ali, Mumtaz and Deo, Ravinesh C. and 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. ISSN 0169-8095

Rajaee, Taher and Ravansalar, Masoud and 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, 229 (3). ISSN 0049-6979

Diop, Lamine and Bodian, Ansoumana and Djaman, Koffi and Yaseen, Zaher Mundher and Deo, Ravinesh C. and 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). ISSN 1866-6280

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. and 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. ISSN 0306-2619

Al-Shemarry, Meeras Salman and Li, Yan and Abdulla, Shahab (2018) Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images. Expert Systems With Applications, 92. pp. 216-235. ISSN 0957-4174

Yaseen, Zaher Mundher and Fu, Minglei and Wang, Chen and Mohtar, Wan Hanna Melini Wan and 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. ISSN 0920-4741

Roy, Sanjiban Sekhar and Samui, Pijushi and Deo, Ravinesh and Ntalampiras, Stalampiras, eds. (2018) Big data in engineering applications. Studies in Big Data. Springer, Singapore. ISBN 978-981-10-8476-8

Ngan, Tran Thi and Lan, Luong Thi Hong and Ali, Mumtaz and Tamir, Dan and Son, Le Hoang and Tuan, Tran Manh and Rishe, Naphtali and Kandel, Abe (2018) Logic connectives of complex fuzzy sets. Romanian Journal of Information Science and Technology, 21 (4). pp. 344-357. ISSN 1453-8245

Barzegar, Rahim and Moghaddam, Asghar Asghari and Deo, Ravinesh and 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. ISSN 0048-9697

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. and 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, 35 (C). pp. 1-16. ISSN 1474-0346

Yaseen, Zaher Mundher and Deo, Ravinesh C. and Hilal, Ameer and Abd, Abbas M. and Bueno, Laura Cornejo and Salcedo-Sanz, Sancho and Nehdi, Moncef L. (2017) Predicting compressive strength of lightweight foamed concrete using extreme learning machine model. Advances in Engineering Software. ISSN 0965-9978

Yeom, Jong-Min and Deo, Ravinesh and Chun, Junghwa and Hong, Jinkyu and Kim, Dong-Su and 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. ISSN 0143-1161

Ghorbani, M. A. and Deo, Ravinesh C. and Yaseen, Zaher Mundher and Kashani, Mahsa H. and Mohammadi, Babak (2017) Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran. Theoretical and Applied Climatology. ISSN 0177-798X

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. ISSN 1084-0699

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. ISSN 1364-0321

Deo, Ravinesh C. and 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. ISSN 1436-3240

Diykh, Mohammed and Li, Yan (2016) Complex networks approach for EEG signal sleep stages classification. Expert Systems With Applications, 63 (63). pp. 241-248. ISSN 0957-4174

Deo, Ravinesh C. and 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. ISSN 0306-2619

Hu, Hong and Li, Jiuyong (2005) Using association rules to make rule-based classifiers robust. In: ADC 2005: 16th Australasian Database Conference, 31 Jan-3 Feb 2005, Newcastle, Australia.

This list was generated on Tue Oct 15 01:49:40 2019 AEST.