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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, 2017-11, Vol.197, p.42-63

2017

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Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm

IEEE access, 2021, Vol.9, p.50982-50993

2021

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Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction

Scientific reports, 2022-03, Vol.12 (1), p.5488-5488, Article 5488

2022

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Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition

Renewable & sustainable energy reviews, 2019-04, Vol.104, p.281-295

2019

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Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology

Energy reports, 2021-11, Vol.7, p.6700-6717

2021

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Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji

Stochastic environmental research and risk assessment, 2021-07, Vol.35 (7), p.1387-1402

2021

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Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks

IEEE access, 2020, Vol.8, p.209503-209516

2020

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New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes

Ecological indicators, 2023-11, Vol.155, p.111030, Article 111030

2023

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Bifacial vs monofacial grid-connected solar photovoltaic for small islands: A case study of Fiji

Renewable energy, 2023-02, Vol.203, p.686-702

2023

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Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods

International journal of digital earth, 2021-11, Vol.14 (11), p.1638-1658

2021

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Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry

IEEE access, 2024, Vol.12, p.72530-72543

2024

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Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model

IEEE access, 2024, Vol.12, p.58750-58777

2024

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Assessing the sustainable municipal solid waste (MSW) to electricity generation potentials in selected Pacific Small Island Developing States (PSIDS)

Journal of cleaner production, 2020-03, Vol.248, p.119222, Article 119222

2020

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Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

Journal of hydrology (Amsterdam), 2020-05, Vol.584, p.124647, Article 124647

2020

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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

Applied energy, 2019-02, Vol.236, p.778-792

2019

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Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

Geoderma, 2018-11, Vol.330, p.136-161

2018

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STREAMFLOW AND SOIL MOISTURE FORECASTING WITH HYBRID DATA INTELLIGENT MACHINE LEARNING APPROACHES: CASE STUDIES IN THE AUSTRALIAN MURRAY–DARLING BASIN

Bulletin of the Australian Mathematical Society, 2019-12, Vol.100 (3), p.520-522

PRASAD, RAMENDRA

2019

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Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms

Renewable & sustainable energy reviews, 2020-10, Vol.132, p.110003, Article 110003

2020

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Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach

Catena (Giessen), 2019-06, Vol.177, p.149-166

2019

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A double decomposition-based modelling approach to forecast weekly solar radiation

Renewable energy, 2020-06, Vol.152, p.9-22

2020

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Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions

Journal of hydrology (Amsterdam), 2021-09, Vol.600, p.126506, Article 126506

2021

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Near real-time wind speed forecast model with bidirectional LSTM networks

Renewable energy, 2023-03, Vol.204, p.39-58

2023

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Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors

Soil & tillage research, 2018-09, Vol.181, p.63-81

2018

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Trends in mean maximum temperature, mean minimum temperature and mean relative humidity for Lautoka, Fiji during 2003–2013

Przegląd Naukowy Inżynieria i Kształtowanie Środowiska, 2017-12, Vol.26 (4), p.415-422

2017

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Day and nighttime L-Band amplitude scintillations during low solar activity at a low latitude station in the South Pacific region

Journal of atmospheric and solar-terrestrial physics, 2017-12, Vol.165-166, p.54-66

2017

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Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm

Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm

Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction

Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition

Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology

Development of Flood Monitoring Index for daily flood risk evaluation: case studies in Fiji

Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks

New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes

Bifacial vs monofacial grid-connected solar photovoltaic for small islands: A case study of Fiji

Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods

Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry

Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model

Assessing the sustainable municipal solid waste (MSW) to electricity generation potentials in selected Pacific Small Island Developing States (PSIDS)

Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation

Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

STREAMFLOW AND SOIL MOISTURE FORECASTING WITH HYBRID DATA INTELLIGENT MACHINE LEARNING APPROACHES: CASE STUDIES IN THE AUSTRALIAN MURRAY–DARLING BASIN

Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms

Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach

A double decomposition-based modelling approach to forecast weekly solar radiation

Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions

Near real-time wind speed forecast model with bidirectional LSTM networks

Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors

Trends in mean maximum temperature, mean minimum temperature and mean relative humidity for Lautoka, Fiji during 2003–2013

Day and nighttime L-Band amplitude scintillations during low solar activity at a low latitude station in the South Pacific region

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