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Author

Ramendra Prasad

Observed names: Prasad, Ramendra, R. Prasad, RAMENDRA PRASAD
Institution: University of Fiji
ORCID: 0000-0003-3941-5839
Observed ORCID: 0000-0003-3941-5839
OpenAlex ID: A5071123729
Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition
2019 · Mumtaz Ali, Ramendra Prasad · Renewable and Sustainable Energy Reviews · 238
Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts
2020 · Mumtaz Ali, Ramendra Prasad, et al. · Journal of Hydrology · 213
Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
2018 · Ramendra Prasad, Ravinesh C. Deo, et al. · Geoderma · 211
Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm
2021 · Mohammed Moishin, Ravinesh C. Deo, et al. · IEEE Access · 199
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Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation
2018 · Ramendra Prasad, Mumtaz Ali, et al. · Applied Energy · 199
Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm
2017 · Ramendra Prasad, Ravinesh C. Deo, et al. · Atmospheric Research · 172
Near real-time wind speed forecast model with bidirectional LSTM networks
2023 · Lionel P. Joseph, Ravinesh C. Deo, et al. · Renewable Energy · 163
Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach
2019 · Ramendra Prasad, Ravinesh C. Deo, et al. · CATENA · 156
Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions
2021 · Halit Apaydin, Mohammad Taghi Sattari, et al. · Journal of Hydrology · 154
Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
2020 · Mumtaz Ali, Ramendra Prasad, et al. · Renewable and Sustainable Energy Reviews · 112
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
2022 · Lionel P. Joseph, Erica A. Joseph, et al. · Computers in Biology and Medicine · 106
A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms
2019 · Ekta Sharma, Ravinesh C. Deo, et al. · The Science of The Total Environment · 102
Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation
2021 · Mohammad Taghi Sattari, Halit Apaydin, et al. · Hydrology and earth system sciences · 95
Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors
2018 · Ramendra Prasad, Ravinesh C. Deo, et al. · Soil and Tillage Research · 81
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction
2022 · Sujan Ghimire, Thong Nguyen-Huy, et al. · Cognitive Computation · 80
A double decomposition-based modelling approach to forecast weekly solar radiation
2020 · Ramendra Prasad, Mumtaz Ali, et al. · Renewable Energy · 79
Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection
2022 · Anurag Malik, Mehdi Jamei, et al. · Agricultural Water Management · 71
Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology
2021 · Mumtaz Ali, Ramendra Prasad, et al. · Energy Reports · 66
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Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks
2020 · Ekta Sharma, Ravinesh C. Deo, et al. · IEEE Access · 66
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Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
2024 · Lionel P. Joseph, Ravinesh C. Deo, et al. · Applied Energy · 65
Assessing the sustainable municipal solid waste (MSW) to electricity generation potentials in selected Pacific Small Island Developing States (PSIDS)
2019 · Lionel P. Joseph, Ramendra Prasad · Journal of Cleaner Production · 61
Novel hybrid deep learning model for satellite based PM10 forecasting in the most polluted Australian hotspots
2022 · Ekta Sharma, Ravinesh C. Deo, et al. · Atmospheric Environment · 52
Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting
2023 · Mumtaz Ali, Ramendra Prasad, et al. · Renewable Energy · 51
Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia
2021 · Mumtaz Ali, Ramendra Prasad, et al. · Renewable Energy · 44
Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction
2022 · Mumtaz Ali, Ravinesh C. Deo, et al. · Scientific Reports · 34
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Works count: 64
Citation count: 3,226
H-index: 29
I10-index: 38
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