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Flood Prediction Using Machine Learning Models: Literature Review

Water (Basel), 2018-10, Vol.10 (11), p.1536

2018

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A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources

IEEE access, 2019, Vol.7, p.164650-164666

2019

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Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

Journal of hydrology (Amsterdam), 2015-10, Vol.529, p.1617-1632

2015

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Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting

Water (Basel), 2020-05, Vol.12 (5), p.1500

2020

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An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

Journal of hydrology (Amsterdam), 2019-02, Vol.569, p.387-408

2019

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Combined life cycle assessment and artificial intelligence for prediction of output energy and environmental impacts of sugarcane production

The Science of the total environment, 2019-05, Vol.664, p.1005-1019

2019

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Computational Intelligence on Short-Term Load Forecasting: A Methodological Overview

Energies (Basel), 2019-01, Vol.12 (3), p.393

2019

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Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling

Water (Basel), 2017-03, Vol.9 (3), p.186

Chau, Kwok-wing

2017

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Prediction of significant wave height; comparison between nested grid numerical model, and machine learning models of artificial neural networks, extreme learning and support vector machines

Engineering applications of computational fluid mechanics, 2020-01, Vol.14 (1), p.805-817

2020

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Predicting Standardized Streamflow index for hydrological drought using machine learning models

Engineering applications of computational fluid mechanics, 2020-01, Vol.14 (1), p.339-350

2020

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Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System

Energies (Basel), 2019-01, Vol.12 (2), p.289

2019

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Forecast of rainfall distribution based on fixed sliding window long short-term memory

Engineering applications of computational fluid mechanics, 2022-12, Vol.16 (1), p.248-261

2022

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Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon

Engineering applications of artificial intelligence, 2012-12, Vol.25 (8), p.1670-1676

2012

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Uncertainty Analysis on Hybrid Double Feedforward Neural Network Model for Sediment Load Estimation with LUBE Method

Water resources management, 2019-08, Vol.33 (10), p.3563-3577

2019

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Numerical simulation of the effects of building dimensional variation on wind pressure distribution

Engineering applications of computational fluid mechanics, 2017-01, Vol.11 (1), p.293-309

2017

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Precipitation projection using a CMIP5 GCM ensemble model: a regional investigation of Syria

Engineering applications of computational fluid mechanics, 2020-01, Vol.14 (1), p.90-106

2020

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Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran

Engineering applications of computational fluid mechanics, 2018-01, Vol.12 (1), p.584-597

2018

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Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms

Engineering applications of computational fluid mechanics, 2020-01, Vol.14 (1), p.311-322

2020

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Groundwater Quality Assessment for Sustainable Drinking and Irrigation

Sustainability, 2020-01, Vol.12 (1), p.177

2020

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Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

Water resources management, 2015-06, Vol.29 (8), p.2655-2675

2015

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Experimental and numerical analysis of a nanofluidic thermosyphon heat exchanger

Engineering applications of computational fluid mechanics, 2019-01, Vol.13 (1), p.40-47

2019

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Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Energies (Basel), 2019-03, Vol.12 (6), p.1049

2019

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Estimating Daily Dew Point Temperature Using Machine Learning Algorithms

Water (Basel), 2019-03, Vol.11 (3), p.582

2019

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Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

Engineering applications of computational fluid mechanics, 2018-01, Vol.12 (1), p.411-437

2018

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Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques

Engineering applications of computational fluid mechanics, 2021-01, Vol.15 (1), p.1420-1439

2021

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Flood Prediction Using Machine Learning Models: Literature Review

A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources

Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

Combined life cycle assessment and artificial intelligence for prediction of output energy and environmental impacts of sugarcane production

Computational Intelligence on Short-Term Load Forecasting: A Methodological Overview

Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling

Prediction of significant wave height; comparison between nested grid numerical model, and machine learning models of artificial neural networks, extreme learning and support vector machines

Predicting Standardized Streamflow index for hydrological drought using machine learning models

Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System

Forecast of rainfall distribution based on fixed sliding window long short-term memory

Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon

Uncertainty Analysis on Hybrid Double Feedforward Neural Network Model for Sediment Load Estimation with LUBE Method

Numerical simulation of the effects of building dimensional variation on wind pressure distribution

Precipitation projection using a CMIP5 GCM ensemble model: a regional investigation of Syria

Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran

Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms

Groundwater Quality Assessment for Sustainable Drinking and Irrigation

Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

Experimental and numerical analysis of a nanofluidic thermosyphon heat exchanger

Review of Soft Computing Models in Design and Control of Rotating Electrical Machines

Estimating Daily Dew Point Temperature Using Machine Learning Algorithms

Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques

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