Browse by Fields of Research (ANZSRC 2020)

Ali, Mumtaz and Prasad, Ramendra and Xiang, Yong and Sankaran, Adarsh and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 0960-1481

Al-Salman, Wessam and Li, Yan and Wen, Peng (2021) Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier. Neuroscience Research, 172. pp. 26-40. ISSN 0168-0102

Ahmed, A. A. Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Feng, Qi and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Raj, Nawin and Yin, Zhenliang and Yang, Linshan (2021) Hybrid deep learning method for a week-ahead evapotranspiration forecasting. Stochastic Environmental Research and Risk Assessment. ISSN 1436-3240

Ghimire, Sujan and Yaseen, Zaher Mundher and Farooque, Aitazaz A. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Zhang, Ji and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X (2021) Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks. Scientific Reports, 11:17497. pp. 1-26.

Ahmed, A. A. Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Feng, Qi and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Raj, Nawin and 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, 599:126350. pp. 1-23. ISSN 0022-1694

Ra, Jee Sook and Li, Tianning and Li, Yan (2021) A novel spectral entropy-based index for assessing the depth of anaesthesia. Brain Informatics, 8 (1):10. ISSN 2198-4026

Bayatvarkeshi, Maryam and Bhagat, Suraj Kumar and Mohammadi, Kourosh and Kisi, Ozgur and Farahani, M. and Hasani, A. and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 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, 185:106158. ISSN 0168-1699

Miften, Firas Sabar and Diykh, Mohammed and Abdulla, Shahab ORCID: https://orcid.org/0000-0002-1193-6969 and Siuly, Siuly and Green, Jonathan H. ORCID: https://orcid.org/0000-0003-1468-1970 and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 (2021) A new framework for classification of multi-category hand grasps using EMG signals. Artificial Intelligence in Medicine, 112:102005. pp. 1-14. ISSN 0933-3657

Ahmed, A. A. Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Raj, Nawin and Feng, Qi and 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. ISSN 1436-3240

Pham, Yen Hoang ORCID: https://orcid.org/0000-0001-6548-3486 (2021) An integrated systems model for sustainable agricultural development under changing climate: a case study in a coffee production system in Viet Nam. [Thesis (PhD/Research)]

Chand, Bhuwan and Nguyen-Huy, Thong ORCID: https://orcid.org/0000-0002-2201-6666 and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 (2021) Artificial neural networks for prediction of Steadman Heat Index. In: Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore, pp. 293-357. ISBN 978-981-15-5771-2

Nguyen-Huy, Thong ORCID: https://orcid.org/0000-0002-2201-6666 and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Yaseen, Zaher Mundher and 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. In: Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore, pp. 29-47. ISBN 978-981-15-5771-2

Prasad, Ramendra and Charan, Dhrishna and Joseph, Lionel and Nguyen-Huy, Thong ORCID: https://orcid.org/0000-0002-2201-6666 and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Singh, Sanjay (2021) Daily flood forecasts with intelligent data analytic models: multivariate empirical mode decomposition-based modeling methods. In: Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore, pp. 359-381. ISBN 978-981-15-5771-2

Ahmed, A. A. Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Raj, Nawin and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Feng, Qi and 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):554. pp. 1-30.

Allawi, Mohammed Falah and Ahmed, Mohammed Lateef and Aidan, Ibraheem Abdallah and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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. ISSN 1436-3240

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Samui, Pijush and Kisi, Ozgur and Yaseen, Zaher Mundher (2021) Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore. ISBN 978-981-15-5771-2

Rahmati, Omid and Kornejady, Aiding and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 (2021) Spatial prediction of landslide susceptibility using random forest algorithm. In: Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore, pp. 281-292. ISBN 978-981-15-5771-2

Sharma, Ekta and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Prasad, Ramendra and 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. ISSN 2169-3536

Ji, Boyu and Banhazi, Thomas and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Bowtell, Les and Wang, Chaoyuan and Li, Baoming (2020) Modelling of heat stress in a robotic dairy farm. Part 3: rumination and milking performance. Biosystems Engineering, 199. pp. 58-72. ISSN 1537-5110

Wan, Xiangkui and Zhu, Binru and Jin, Zhiyao and Zhang, Mingru and Li, Yan (2020) Multiscale entropy algorithms and their applications in cardiac disease discrimination. Journal of Mechanics in Medicine and Biology, 20 (8):2050052. pp. 1-13. ISSN 0219-5194

Ali, Mumtaz and Prasad, Ramendra and Xiang, Yong and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 (2020) Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms. Renewable and Sustainable Energy Reviews, 132:110003. ISSN 1364-0321

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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):2307.

Al-Hossenat, Auhood Hadi Jabbar (2020) Brain network, modelling and corresponding EEG patterns for health and disease states. [Thesis (PhD/Research)]

Al-Salman, Wessam and Li, Yan and Wen, Peng (2019) K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model. Neuroscience, 422. pp. 119-133. ISSN 0306-4522

Ghimire, Sujan and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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, 113:109247. pp. 1-19. ISSN 1364-0321

Al-Salman, Wessam and Li, Yan and Wen, Paul (2019) Detection of EEG K-complexes using fractal dimension of time-frequency images technique coupled with undirected graph features. Frontiers in Neuroinformatics, 13 (45). pp. 1-19.

Rahmati, Omid and Kornejady, Aiding and Samadi, Mahmood and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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

Al-Hossenat, Auhood and Wen, Paul and Li, Yan (2019) Modelling and simulating different bands of EEG signals with the virtual brain. International Journal of Electrical, Electronics and Data Communication, 7 (5). pp. 66-70. ISSN 2320-2084

Meshram, Sarita Gajbhiye and Ghorbani, M. A. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Kashani, Mahsa Hasanpour and 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. ISSN 0920-4741

Ali, Mumtaz (2019) Probabilistic and artificial intelligence modelling of drought and agricultural crop yield in Pakistan. [Thesis (PhD/Research)]

Ghimire, Sujan and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Downs, Nathan J. ORCID: https://orcid.org/0000-0002-3191-6404 and Raj, Nawin (2019) Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cites of Queensland Australia. Journal of Cleaner Production, 216. pp. 288-310. ISSN 0959-6526

Tao, Hai and Ebtehaj, Isa and Bonakdari, Hossein and Heddam, Salim and Voyant, Cyril and Al-Ansari, Nadhir and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and Yaseen, Zaheer Mundher (2019) Designing a new data intelligence model for global solar radiation prediction: application of multivariate modeling scheme. Energies, 12 (7):1365. pp. 1-24.

Wen, Xiaohu and Feng, Qi and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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

Ghorbani, Mohammad Ali and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Kashani, Mahsa H. and 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. ISSN 0167-1987

Yaseen, Zaher Mundher and Sulaiman, Sadeq Oleiwi and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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. ISSN 0022-1694

Fijani, Elham and Barzegar, Rahim and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 0048-9697

Song, Bo and Menezes de Oliveira, Marilia and Wang, Shuaifang and Li, Yan and Wen, Peng and Ahfock, Tony (2019) A preliminary study of the impact of lateral head orientations on the current distributions during tDCS. In: 12th International Conference on Brain Informatics (BI 2019), 13-15 Dec 2019, Haikou, China.

Liu, Kai and Zhou, Hongmin and Kou, Yuanyuan and Zhang, Jiabao and Zhou, Xujuan and Zhang, Xiantang (2019) Simulation study on passive buildings’ demand incentive based on evolutionary game. Journal of Intelligent and Fuzzy Systems, 37. pp. 3163-3174. ISSN 1064-1246

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Li, Yan (2018) Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset. In: 3rd International Conference on Power and Renewable Energy (ICPRE 2018), 21-24 Sept 2018, Berlin, Germany.

Ghorbani, Mohammad Ali and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Karimi, Vahid and 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. ISSN 1436-3240

Yeom, Jong-min and Jeong, Seungtaek and Jeong, Gwanyong and Ng, Chi Tim and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Ko, Jonghan (2018) Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model. Scientific Reports, 8:16121. pp. 1-15.

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Downs, Nathan J. ORCID: https://orcid.org/0000-0002-3191-6404 and 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).

Allawi, Mohammed Falah and Jaafar, Othman and Hamzah, Firdaus Mohamad and Mohd, Nuruol Syuhadaa and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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. ISSN 0177-798X

Ali, Mumtaz and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Downs, Nathan J. ORCID: https://orcid.org/0000-0002-3191-6404 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. ISSN 0168-1923

Ali, Mumtaz and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Downs, Nathan J. ORCID: https://orcid.org/0000-0002-3191-6404 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. ISSN 0168-1699

Sanikhani, Hadi and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Samui, Pijush and Kisi, Ozgur and Mert, Chian and Mirabbasi, Rasoul and 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. ISSN 0168-1699

Ghorbani, M. A. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Yaseen, Zaher Mundher and 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. ISSN 0177-798X

Ali, Mumtaz and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Downs, Nathan J. ORCID: https://orcid.org/0000-0002-3191-6404 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

Ethteram, Mohammad and Mousavi, Sayed-Farhad and Karami, Hojat and Farzin, Saeed and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and Othman, Faridah Binti and Chau, Kwok-Wing and Sarkamaryan, Saeed and Singh, Vijay P. and El-Shafie, Ahmed (2018) Bat algorithm for dam–reservoir operation. Environmental Earth Sciences, 77 (13):510. pp. 1-15. ISSN 1866-6280

Sanikhani, Hadi and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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

Yaseen, Zaher Mundher and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Ebtehaj, Isa and Bonakdari, Hossein (2018) Hybrid data intelligent models and applications for water level prediction. In: Handbook of research on predictive modeling and optimization methods in science and engineering. Advances in Computational Intelligence and Robotics (ACIR) Book Series. IGI Publishing (IGI Global), Hershey, United States, pp. 121-139. ISBN 9781522547662

Ghorbani, Mohammad Ali and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Karimi, Vahid and 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. ISSN 1436-3240

McCarthy, Elizabeth and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. In: Handbook of research on predictive modeling and optimization methods in science and engineering. Advances in Computational Intelligence and Robotics (ACIR) Book Series. IGI Publishing (IGI Global), Hershey, United States, pp. 446-464. ISBN 9781522547662

Nguyen-Huy, Thong ORCID: https://orcid.org/0000-0002-2201-6666 and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Mushtaq, Shahbaz and An-Vo, Duc-Anh ORCID: https://orcid.org/0000-0001-7528-7139 and Khan, Shahjahan ORCID: https://orcid.org/0000-0002-0446-086X (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. ISSN 1161-0301

Prasad, Ramendra and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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

Mouatadid, Soukayna and Raj, Nawin and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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. ISSN 0169-8095

Fallah, Seyedeh Narjes and Deo, Ravinesh Chand ORCID: https://orcid.org/0000-0002-2290-6749 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. ORCID: https://orcid.org/0000-0002-2290-6749 and Downs, Nathan J. ORCID: https://orcid.org/0000-0002-3191-6404 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. ORCID: https://orcid.org/0000-0002-2290-6749 (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. ORCID: https://orcid.org/0000-0002-2290-6749 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. ORCID: https://orcid.org/0000-0002-2290-6749 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

Yaseen, Zaher Mundher and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Hilal, Ameer and Abd, Abbas M. and Bueno, Laura Cornejo and 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. ISSN 0965-9978

Yaseen, Zaher Mundher and Ghareb, Mazen Ismaeel and Ebtehaj, Isa and Bonakdari, Hossein and Siddique, Ridwan and Heddam, Sali and Yusif, Ali A. and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 (2018) Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA. Water Resources Management, 32 (1). pp. 105-122. ISSN 0920-4741

Salcedo-Sanz, Sancho and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Cornejo-Bueno, Laura and 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. ISSN 0306-2619

Yaseen, Zaher Mundher and Fu, Minglei and Wang, Chen and Mohtar, Wan Hanna Melini Wan and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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. ISSN 0920-4741

Roy, Sanjiban Sekhar and Samui, Pijushi and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and Ntalampiras, Stalampiras, eds. (2018) Big data in engineering applications. Studies in Big Data. Springer, Singapore. ISBN 978-981-10-8475-1

Yu, Haijiao and Wen, Xiaohu and Feng, Qi and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 0920-4741

Yin, Zhenliang and Feng, Qi and Wen, Xiaohu and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Yang, Linshan and 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. ISSN 1436-3240

Menezes de Oliveira, Marilia and Song, Bo and Ahfock, Tony and Li, Yan and Wen, Paul (2018) Human Head Modelling Simulation Applied to Electroconvulsive Therapy. In: Multi-Modality Imaging: Applications and Computational Techniques. Springer Nature, Cham, Switzerland, pp. 103-133. ISBN 978-3-319-98973-0

Barzegar, Rahim and Moghaddam, Asghar Asghari and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 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

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Ghorbani, Mohammad Ali and Samadianfard, Saeed and Maraseni, Tek and 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. ISSN 0960-1481

Al-Musaylh, Mohanad S. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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

Prasad, Ramendra (2018) Streamflow and soil moisture forecasting with hybrid data intelligent machine learning approaches: case studies in the Australian Murray-Darling basin. [Thesis (PhD/Research)]

McCarthy, E. and Deo, R. C. ORCID: https://orcid.org/0000-0002-2290-6749 and Li, Y. and Maraseni, T. (2017) Re-imagining standard timescales in forecasting precipitation events for Queensland’s grazing enterprises. In: 22nd International Congress on Modelling and Simulation (MODSIM 2017), 3-8 Dec 2017, Hobart, Tasmania, Australia.

Wen, Xiaohu and Feng, Qi and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 1998-9563

Yaseen, Zaher Mundher and Ebtehaj, Isa and Bonakdari, Hossein and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Mehr, Ali Danandeh and Mohtar, Wan Hanna Melini Wan and Diop, Lamine and 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. ISSN 0022-1694

Yeom, Jong-Min and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 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

Raheli, Bahare and Aalami, Mohammad Taghi and El-Shafie, Ahmed and Ghorbani, Mohammad Ali and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 (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). ISSN 1866-6280

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Tiwari, Mukesh K. and 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. ISSN 1436-3240

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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

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Dayal, Kavina and Deo, Ravinesh ORCID: https://orcid.org/0000-0002-2290-6749 and Apan, Armando A. ORCID: https://orcid.org/0000-0002-5412-8881 (2017) Drought modelling based on artificial intelligence and neural network algorithms: a case study in Queensland, Australia. In: Climate change adaptation in Pacific countries: fostering resilience and improving the quality of life (Part II). Climate Change Management. Springer International Publishing, pp. 177-198. ISBN 978-3-319-50093-5

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Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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

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Chen, Jianhui and Han, Jian and Deng, Yue and Zhong, Han and Wang, Ningning and Li, Youjun and Wan, Zhijiang and Kotake, Taihei and Wang, Dongsheng and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Zhong, Ning (2016) Multi-level big data content services for mental health care. In: Wisdom web of things, Part II. Web Information Systems Engineering and Internet Technologies Book Series. Springer International Publishing, Switzerland, pp. 155-180. ISBN 978-3-319-44196-2

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