Items where Author is "Prasad, Ramendra"

Export as [feed] RSS 1.0 [feed] RSS 2.0
Group by: Date | Item Type | Title | No Grouping
Jump to: 2020 | 2019 | 2018 | 2017
Number of items: 8.

2020

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

2019

Prasad, Ramendra and Ali, Mumtaz and Kwan, Paul and Khan, Huma (2019) Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation. Applied Energy, 236. pp. 778-792. ISSN 0306-2619

Ali, Mumtaz and Prasad, Ramendra (2019) Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition. Renewable and Sustainable Energy Reviews, 104. pp. 281-295. ISSN 1364-0321

Prasad, Ramendra and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 0341-8162

2018

Prasad, Ramendra and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 0167-1987

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

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)]

2017

Prasad, Ramendra and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and 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. ISSN 0169-8095

This list was generated on Fri Apr 10 00:39:07 2020 AEST.