Browse by Fields of Research (ANZSRC 2008)

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Number of items at this level: 6.

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 (05017003).

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). pp. 241-248. ISSN 0957-4174

Deo, Ravinesh C. and Wen, Xiaohu and Qi, Feng (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 Sat Aug 19 01:50:02 2017 AEST.