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Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (5), p.1136

2022

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Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (4), p.554

2021

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Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (3), p.805

2022

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Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

Journal of hydrology (Amsterdam), 2021-08, Vol.599, p.126350, Article 126350

2021

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New double decomposition deep learning methods for river water level forecasting

The Science of the total environment, 2022-07, Vol.831, p.154722-154722, Article 154722

2022

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LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios

Stochastic environmental research and risk assessment, 2021-09, Vol.35 (9), p.1851-1881

2021

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Hybrid deep learning method for a week-ahead evapotranspiration forecasting

Stochastic environmental research and risk assessment, 2022-03, Vol.36 (3), p.831-849

2022

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Application of artificial neural networks to predict peak flow of Surma River in Sylhet Zone of Bangladesh

International journal of water, 2017, Vol.11 (4), p.363

2017

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Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model

Stochastic environmental research and risk assessment, 2022-10, Vol.36 (10), p.3011-3039

2022

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Simulation of NOx Concentration of Dhaka City by Regional Air Model

American journal of environmental engineering, 2012-04, Vol.2 (2), p.39-44

2012

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Monthly disaggregation of annual irrigation water demand in the southern Murray Darling Basin

Agricultural water management, 2024-09, Vol.302, p.108961, Article 108961

2024

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Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression

Renewable energy, 2023-02, Vol.203, p.113-130

2023

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New Double Decomposition Deep Learning Methods for Stream-Flow Water Level Forecasting Using Remote Sensing Modis Satellite Variables, Climate Indices and Observations

SSRN Electronic Journal

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Cloud Cover Bias Correction in Numerical Weather Model Simulations for Solar Energy Monitoring and Forecasting Systems: A New Kernel Ridge Regression Approach

SSRN Electronic Journal

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Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs)

Journal of King Saud University. Engineering sciences, 2017-04, Vol.29 (2), p.151-158

Ahmed, A.A. Masrur

2017

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Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River

Journal of King Saud University. Engineering sciences, 2017-07, Vol.29 (3), p.237-243

2017

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Assessment and Prediction of Sea Level Trend in the South Pacific Region

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.986

2022

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Analysis and optimization of a modified Kalina cycle system for low-grade heat utilization

Energy conversion and management. X, 2021-12, Vol.12, p.100121, Article 100121

2021

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Optimal Configuration of a Hybrid Photovoltaic/Wind Turbine/Biomass/Hydro-Pumped Storage-Based Energy System Using a Heap-Based Optimization Algorithm

Energies (Basel), 2023-04, Vol.16 (9), p.3648

2023

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Global control of electrical supply: A variational mode decomposition-aided deep learning model for energy consumption prediction

Energy reports, 2023-11, Vol.10, p.2152-2165

2023

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An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables

The Science of the total environment, 2024-01, Vol.906, p.167234-167234, Article 167234

2024

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The development of dissolved oxygen forecast model using hybrid machine learning algorithm with hydro-meteorological variables

Environmental science and pollution research international, 2023-01, Vol.30 (3), p.7851-7873

2023

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Hybrid deep learning model for wave height prediction in Australia's wave energy region

Applied soft computing, 2024-01, Vol.150, p.111003, Article 111003

2024

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Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model

Sustainability, 2022-09, Vol.14 (17), p.11070

2022

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Hybrid intelligence models for compressive strength prediction of MPC composites and parametric analysis with SHAP algorithm

Materials today communications, 2023-06, Vol.35, p.105547, Article 105547

2023

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Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors

Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data

Spatiotemporal Hybrid Random Forest Model for Tea Yield Prediction Using Satellite-Derived Variables

Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity

New double decomposition deep learning methods for river water level forecasting

LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios

Hybrid deep learning method for a week-ahead evapotranspiration forecasting

Application of artificial neural networks to predict peak flow of Surma River in Sylhet Zone of Bangladesh

Optimization algorithms as training approach with hybrid deep learning methods to develop an ultraviolet index forecasting model

Simulation of NOx Concentration of Dhaka City by Regional Air Model

Monthly disaggregation of annual irrigation water demand in the southern Murray Darling Basin

Cloud cover bias correction in numerical weather models for solar energy monitoring and forecasting systems with kernel ridge regression

New Double Decomposition Deep Learning Methods for Stream-Flow Water Level Forecasting Using Remote Sensing Modis Satellite Variables, Climate Indices and Observations

Cloud Cover Bias Correction in Numerical Weather Model Simulations for Solar Energy Monitoring and Forecasting Systems: A New Kernel Ridge Regression Approach

Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs)

Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River

Assessment and Prediction of Sea Level Trend in the South Pacific Region

Analysis and optimization of a modified Kalina cycle system for low-grade heat utilization

Optimal Configuration of a Hybrid Photovoltaic/Wind Turbine/Biomass/Hydro-Pumped Storage-Based Energy System Using a Heap-Based Optimization Algorithm

Global control of electrical supply: A variational mode decomposition-aided deep learning model for energy consumption prediction

An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables

The development of dissolved oxygen forecast model using hybrid machine learning algorithm with hydro-meteorological variables

Hybrid deep learning model for wave height prediction in Australia's wave energy region

Introductory Engineering Mathematics Students’ Weighted Score Predictions Utilising a Novel Multivariate Adaptive Regression Spline Model

Hybrid intelligence models for compressive strength prediction of MPC composites and parametric analysis with SHAP algorithm

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