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A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine

Engineering with computers, 2021-10, Vol.37 (4), p.3221-3235

2021

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An empirical-based rainfall-runoff modelling using optimization technique

International journal of river basin management, 2020-01, Vol.18 (1), p.49-67

2020

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A Comparative Assessment of Metaheuristic Optimized Extreme Learning Machine and Deep Neural Network in Multi-Step-Ahead Long-term Rainfall Prediction for All-Indian Regions

Water resources management, 2021-04, Vol.35 (6), p.1927-1960

2021

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A novel approach for rainfall-runoff modelling using a biogeography-based optimization technique

International journal of river basin management, 2021-01, Vol.19 (1), p.67-80

2021

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Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases

Applied sciences, 2019-08, Vol.9 (16), p.3221

2019

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Estimating Flyrock Distance Induced Due to Mine Blasting by Extreme Learning Machine Coupled with an Equilibrium Optimizer

Sustainability, 2023-02, Vol.15 (4), p.3265

2023

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Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter

Journal of Rock Mechanics and Geotechnical Engineering, 2022-10, Vol.14 (5), p.1588-1608

2022

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A novel approach for resilient modulus prediction using extreme learning machine-equilibrium optimiser techniques

The international journal of pavement engineering, 2022-08, Vol.23 (10), p.3346-3356

2022

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A three decade assessment of forest cover changes in Nijhum dwip national park using remote sensing and GIS

Environmental challenges (Amsterdam, Netherlands), 2021-08, Vol.4, p.100162, Article 100162

2021

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Shear Strength Estimation of Reinforced Concrete Deep Beams Using a Novel Hybrid Metaheuristic Optimized SVR Models

Sustainability, 2022-05, Vol.14 (9), p.5238

2022

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Data-Driven Approach for Rainfall-Runoff Modelling Using Equilibrium Optimizer Coupled Extreme Learning Machine and Deep Neural Network

Applied sciences, 2021-07, Vol.11 (13), p.6238

2021

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Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals

Diagnostics (Basel), 2023-06, Vol.13 (11), p.1936

2023

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Developing a New Computational Intelligence Approach for Approximating the Blast-Induced Ground Vibration

Applied sciences, 2020-01, Vol.10 (2), p.434

2020

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Impacts of Climate Change and Adaptation Strategies for Rainfed Barley Production in the Almería Province, Spain

Atmosphere, 2024-05, Vol.15 (5), p.606

2024

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Contribution of non-timber forest products to the livelihoods of the forest-dependent communities around the Khadimnagar National Park in northeastern Bangladesh

Regional sustainability, 2021-07, Vol.2 (3), p.280-295

2021

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A wavelet - Particle swarm optimization - Extreme learning machine hybrid modeling for significant wave height prediction

Ocean engineering, 2020-10, Vol.213, p.107777, Article 107777

2020

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Assessment of natural regeneration status and diversity of tree species in the biodiversity conservation areas of Northeastern Bangladesh

Journal of forestry research, 2011, Vol.22 (4), p.551-559

2011

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Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance

Engineering with computers, 2022-12, Vol.38 (Suppl 5), p.3811-3827

2022

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A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates

Engineering with computers, 2022-12, Vol.38 (Suppl 5), p.4323-4346

2022

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A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock

Natural resources research (New York, N.Y.), 2020-12, Vol.29 (6), p.4103-4120

2020

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Status and ethno-medicinal usage of invasive plants in traditional health care practices： a case study from northeastern Bangladesh

Journal of forestry research, 2011, Vol.22 (4), p.649-658

2011

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A Comparative Study on Native and Non-Native English Accent Classifications

2022 International Conference on Futuristic Technologies (INCOFT), 2022, p.1-6

2022

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Sea level rise induced impacts on coastal areas of Bangladesh and local-led community-based adaptation

International journal of disaster risk reduction, 2022-04, Vol.73, p.102905, Article 102905

2022

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Turbulence Modeling of Channel Flow and Heat Transfer: A Comparison with DNS Data

Procedia engineering, 2017, Vol.194, p.450-456

2017

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Medicinal plant sources and traditional healthcare practices of forest-dependent communities in and around Chunati Wildlife Sanctuary in southeastern Bangladesh

Environmental Sustainability, 2022, Vol.5 (2), p.207-241

2022

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A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine

An empirical-based rainfall-runoff modelling using optimization technique

A Comparative Assessment of Metaheuristic Optimized Extreme Learning Machine and Deep Neural Network in Multi-Step-Ahead Long-term Rainfall Prediction for All-Indian Regions

A novel approach for rainfall-runoff modelling using a biogeography-based optimization technique

Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases

Estimating Flyrock Distance Induced Due to Mine Blasting by Extreme Learning Machine Coupled with an Equilibrium Optimizer

Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter

A novel approach for resilient modulus prediction using extreme learning machine-equilibrium optimiser techniques

A three decade assessment of forest cover changes in Nijhum dwip national park using remote sensing and GIS

Shear Strength Estimation of Reinforced Concrete Deep Beams Using a Novel Hybrid Metaheuristic Optimized SVR Models

Data-Driven Approach for Rainfall-Runoff Modelling Using Equilibrium Optimizer Coupled Extreme Learning Machine and Deep Neural Network

Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals

Developing a New Computational Intelligence Approach for Approximating the Blast-Induced Ground Vibration

Impacts of Climate Change and Adaptation Strategies for Rainfed Barley Production in the Almería Province, Spain

Contribution of non-timber forest products to the livelihoods of the forest-dependent communities around the Khadimnagar National Park in northeastern Bangladesh

A wavelet - Particle swarm optimization - Extreme learning machine hybrid modeling for significant wave height prediction

Assessment of natural regeneration status and diversity of tree species in the biodiversity conservation areas of Northeastern Bangladesh

Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance

A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates

A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock

Status and ethno-medicinal usage of invasive plants in traditional health care practices： a case study from northeastern Bangladesh

A Comparative Study on Native and Non-Native English Accent Classifications

Sea level rise induced impacts on coastal areas of Bangladesh and local-led community-based adaptation

Turbulence Modeling of Channel Flow and Heat Transfer: A Comparison with DNS Data

Medicinal plant sources and traditional healthcare practices of forest-dependent communities in and around Chunati Wildlife Sanctuary in southeastern Bangladesh

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