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Modeling Various Drought Time Scales via a Merged Artificial Neural Network with a Firefly Algorithm

Hydrology, 2023-03, Vol.10 (3), p.58

Mohammadi, Babak

2023

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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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IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling

Scientific reports, 2022-07, Vol.12 (1), p.12096-12096, Article 12096

2022

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Improving streamflow simulation by combining hydrological process-driven and artificial intelligence-based models

Environmental science and pollution research international, 2021-12, Vol.28 (46), p.65752-65768

2021

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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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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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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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A new hybrid model based on relevance vector machine with flower pollination algorithm for phycocyanin pigment concentration estimation

Environmental science and pollution research international, 2021-07, Vol.28 (25), p.32564-32579

2021

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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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Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data

Applied water science, 2024-03, Vol.14 (3), p.55-17

2024

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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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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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Enhancing Rainfall-Runoff Simulation via Meteorological Variables and a Deep-Conceptual Learning-Based Framework

Atmosphere, 2022-10, Vol.13 (10), p.1688

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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Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region

Water (Basel), 2022, Vol.14 (21), p.3435

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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Modeling Various Drought Time Scales via a Merged Artificial Neural Network with a Firefly Algorithm

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”

IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling

Improving streamflow simulation by combining hydrological process-driven and artificial intelligence-based models

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

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

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

A new hybrid model based on relevance vector machine with flower pollination algorithm for phycocyanin pigment concentration estimation

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

Improving glacio-hydrological model calibration and model performance in cold regions using satellite snow cover data

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

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

Enhancing Rainfall-Runoff Simulation via Meteorological Variables and a Deep-Conceptual Learning-Based Framework

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

Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region

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

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