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A review on the applications of machine learning for runoff modeling

Sustainable water resources management, 2021-12, Vol.7 (6), Article 98

Mohammadi, Babak

2021

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Letter to the editor “Modeling daily suspended sediment load using improved support vector machine model and genetic algorithm”

Environmental science and pollution research international, 2020-05, Vol.27 (14), p.17425-17426

Mohammadi, Babak

2020

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Letter to the editor “Generating electrical demand time series applying SRA technique to complement NAR and sARIMA models” by Jorge L. Tena García, Erasmo Cadenas Calderón, Eduardo Rangel Heras, Christian Morales Ontiveros

Energy efficiency, 2020, Vol.13 (1), p.157-158

Mohammadi, Babak

2020

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Application of hybrid ANN-whale optimization model in evaluation of the field capacity and the permanent wilting point of the soils

Environmental science and pollution research international, 2020-04, Vol.27 (12), p.13131-13141

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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Estimation of solar radiation using neighboring stations through hybrid support vector regression boosted by Krill Herd algorithm

Arabian journal of geosciences, 2020-05, Vol.13 (10), Article 363

2020

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Improving generalisation capability of artificial intelligence-based solar radiation estimator models using a bio-inspired optimisation algorithm and multi-model approach

Environmental science and pollution research international, 2022-04, Vol.29 (19), p.27719-27737

2022

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Performance Analysis of Daily Global Solar Radiation Models in Peru by Regression Analysis

Atmosphere, 2021-03, Vol.12 (3), p.389

2021

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Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

Agricultural water management, 2020-07, Vol.237, p.106145, Article 106145

2020

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Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh

Environmental science and pollution research international, 2021-07, Vol.28 (26), p.34450-34471

2021

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On extended interpolative Ćirić–Reich–Rus type F-contractions and an application

Journal of inequalities and applications, 2019-11, Vol.2019 (1), p.1-11, Article 290

2019

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Developing Novel Robust Models to Improve the Accuracy of Daily Streamflow Modeling

Water resources management, 2020-08, Vol.34 (10), p.3387-3409

2020

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A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran

Theoretical and applied climatology, 2019-07, Vol.137 (1-2), p.1257-1269

2019

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Weak Wardowski contractive multivalued mappings and solvability of generalized phi-Caputo fractional snap boundary inclusions

Nonlinear analysis (Vilnius, Lithuania), 2023-09, Vol.28, p.1-16

2023

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Drawing clinical pictures of heart failure with high mortality risk

Informatics in medicine unlocked, 2021, Vol.26, p.100752, Article 100752

2021

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Development of Boosted Machine Learning Models for Estimating Daily Reference Evapotranspiration and Comparison with Empirical Approaches

Water (Basel), 2021-12, Vol.13 (24), p.3489

2021

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Developing hybrid time series and artificial intelligence models for estimating air temperatures

Stochastic environmental research and risk assessment, 2021-06, Vol.35 (6), p.1189-1204

2021

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Simulation of Titicaca Lake Water Level Fluctuations Using Hybrid Machine Learning Technique Integrated with Grey Wolf Optimizer Algorithm

Water (Basel), 2020-11, Vol.12 (11), p.3015

2020

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A Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and Machine-Learning Methods

ISPRS international journal of geo-information, 2020-12, Vol.9 (12), p.701

2020

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Using the MODIS Sensor for Snow Cover Modeling and the Assessment of Drought Effects on Snow Cover in a Mountainous Area

Remote sensing (Basel, Switzerland), 2020-10, Vol.12 (20), p.3437

2020

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Establishing Coupled Models for Estimating Daily Dew Point Temperature Using Nature-Inspired Optimization Algorithms

Hydrology, 2022-01, Vol.9 (1), p.9

2022

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Forecasting soil temperature at multiple-depth with a hybrid artificial neural network model coupled-hybrid firefly optimizer algorithm

Information processing in agriculture, 2018-12, Vol.5 (4), p.465-476

2018

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Solving an integral equation via generalized controlled fuzzy metrics

Fixed point theory and algorithms for sciences and engineering, 2022-11, Vol.2022 (1), p.1-13, Article 21

2022

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Letter to the editor “comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes”

Environmental science and pollution research international, 2020-06, Vol.27 (17), p.22131-22134

2020

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Letter to the editor “Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran” by Mohammad Taghi Sattari, Arya Farkhondeh, and John Patrick Abraham

Environmental science and pollution research international, 2019-04, Vol.26 (10), p.10439-10440

Mohammadi, Babak

2019

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A review on the applications of machine learning for runoff modeling

Letter to the editor “Modeling daily suspended sediment load using improved support vector machine model and genetic algorithm”

Letter to the editor “Generating electrical demand time series applying SRA technique to complement NAR and sARIMA models” by Jorge L. Tena García, Erasmo Cadenas Calderón, Eduardo Rangel Heras, Christian Morales Ontiveros

Application of hybrid ANN-whale optimization model in evaluation of the field capacity and the permanent wilting point of the soils

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

Estimation of solar radiation using neighboring stations through hybrid support vector regression boosted by Krill Herd algorithm

Improving generalisation capability of artificial intelligence-based solar radiation estimator models using a bio-inspired optimisation algorithm and multi-model approach

Performance Analysis of Daily Global Solar Radiation Models in Peru by Regression Analysis

Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh

On extended interpolative Ćirić–Reich–Rus type F-contractions and an application

Developing Novel Robust Models to Improve the Accuracy of Daily Streamflow Modeling

A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran

Weak Wardowski contractive multivalued mappings and solvability of generalized phi-Caputo fractional snap boundary inclusions

Drawing clinical pictures of heart failure with high mortality risk

Development of Boosted Machine Learning Models for Estimating Daily Reference Evapotranspiration and Comparison with Empirical Approaches

Developing hybrid time series and artificial intelligence models for estimating air temperatures

Simulation of Titicaca Lake Water Level Fluctuations Using Hybrid Machine Learning Technique Integrated with Grey Wolf Optimizer Algorithm

A Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and Machine-Learning Methods

Using the MODIS Sensor for Snow Cover Modeling and the Assessment of Drought Effects on Snow Cover in a Mountainous Area

Establishing Coupled Models for Estimating Daily Dew Point Temperature Using Nature-Inspired Optimization Algorithms

Forecasting soil temperature at multiple-depth with a hybrid artificial neural network model coupled-hybrid firefly optimizer algorithm

Solving an integral equation via generalized controlled fuzzy metrics

Letter to the editor “comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes”

Letter to the editor “Estimation of sodium adsorption ratio indicator using data mining methods: a case study in Urmia Lake basin, Iran” by Mohammad Taghi Sattari, Arya Farkhondeh, and John Patrick Abraham

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