Browse by Fields of Research (ANZSRC 2008)

Up a level
Export as [feed] RSS 1.0 [feed] RSS 2.0
Number of items at this level: 48.

Al-Hadeethi, Hanan and Abdulla, Shahab ORCID: https://orcid.org/0000-0002-1193-6969 and Diykh, Mohammed and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Green, Jonathan H. ORCID: https://orcid.org/0000-0003-1468-1970 (2020) Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications. Expert Systems with Applications, 161:113676. ISSN 0957-4174

Huynh, Anh Ngoc‐Lan and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and An-Vo, Duc-Anh ORCID: https://orcid.org/0000-0001-7528-7139 and Ali, Mumtaz and Raj, Nawin and Abdulla, Shahab ORCID: https://orcid.org/0000-0002-1193-6969 (2020) Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network. Energies, 13 (14):3517.

Bargshady, Ghazal ORCID: https://orcid.org/0000-0002-2557-7928 and Zhou, Xujuan and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Soar, Jeffery ORCID: https://orcid.org/0000-0002-4964-7556 and Whittaker, Frank and Wang, Hua (2020) Enhanced deep learning algorithm development to detect pain intensity from facial expression images. Expert Systems with Applications, 149 (Article 113305). ISSN 0957-4174

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

Sharma, Ekta and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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 (Article 135934). ISSN 0048-9697

Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Pham, Thuan ORCID: https://orcid.org/0000-0001-7433-858X and Zhang, Ji and Yong, Jianming and Goh, Wee Pheng and Zhang, Wenping and Cai, Yi (2020) Mining health knowledge graph for health risk prediction. World Wide Web. ISSN 1386-145X

Rahmati, Omid and Panahi, Mahdi and Ghiasi, Seid Saeid and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Tiefenbacher, John P. and Pradhan, Biswajeet and Jahani, Ali and Goshtasb, Hamid and Kornejady, Aiding and Shahabi, Himan and Shirzadi, Ataollah and Khosravi, Hassan and Moghaddam, Davoud Davoudi and Mohtashamian, Maryamsadat and Bui, Dieu Tien (2020) Hybridized neural fuzzy ensembles for dust source modeling and prediction. Atmospheric Environment, 224 (Article 117320). ISSN 1352-2310

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

Yang, Linshan and Feng, Qi and Yin, Zhenliang and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Wen, Xiaohu and Si, Jianhua and Liu, Wen (2019) Regional hydrology heterogeneity and the response to climate and land surface changes in arid alpine basin, northwest China. Catena (Article 104345). ISSN 0341-8162

Zomorodi-Moghadam, Mariam and Abdar, Moloud and Davarzani, Zohreh and Zhou, Xujuan and Pławiak, Pawel and Acharya, U. Rajendra (2019) Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Expert Systems. pp. 1-17. ISSN 0266-4720

Rahmati, Omid and Panahi, Mahdi and Kalantari, Zahra and Soltani, Elinaz and Falah, Fatemeh and Dayal, Kavina S. and Mohammadi, Farnoush and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Tiefenbacher, John and Bui, Dieu Tien (2019) Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia. Science of the Total Environment (Article 134656). ISSN 0048-9697

Ghimire, Sujan and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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. ORCID: https://orcid.org/0000-0002-2290-6749 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. ORCID: https://orcid.org/0000-0002-2290-6749 and Maraseni, Tek and Downs, Nathan J. ORCID: https://orcid.org/0000-0002-3191-6404 (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. 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

Roshni, Thendiyath and Jha, Madan K. and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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

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

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

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

Zhou, Xiangmin and Zhang, Ji and Zhang, Yanchun (2019) The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA). In: 12th ACM International Conference on Web Search and Data Mining (WSDM 2019), 11-15 Feb 2019, Melbourne, Australia.

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

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. 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

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

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

Al-Shemarry, Meeras Salman and Li, Yan and Abdulla, Shahab ORCID: https://orcid.org/0000-0002-1193-6969 (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. 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. ISSN 0920-4741

Zheng, Xiaoyao and Luo, Yonglong and Zhang, Ji and Sun, Liping and Chen, Fulong (2018) A novel differential privacy recommendation method based on distributed framework. In: 2018 Workshop on Scalable and Applicable Recommendation Systems (SAREC 2018), in conjunction with the 18th IEEE International Conference on Data Mining (ICDM 2018), 17-20 Nov 2018, Singapore.

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

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 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

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

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. (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 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

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 (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. 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

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

Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 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. ORCID: https://orcid.org/0000-0002-2290-6749 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 Fri Sep 18 22:26:37 2020 AEST.