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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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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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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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Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling

Water resources management, 2021-09, Vol.35 (12), p.4127-4147

2021

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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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A novel hybrid dragonfly optimization algorithm for agricultural drought prediction

Stochastic environmental research and risk assessment, 2021-12, Vol.35 (12), p.2459-2477

2021

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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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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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Soil moisture estimation using novel bio-inspired soft computing approaches

Engineering applications of computational fluid mechanics, 2022-12, Vol.16 (1), p.826-840

2022

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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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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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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

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

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

Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling

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

A novel hybrid dragonfly optimization algorithm for agricultural drought prediction

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

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

Soil moisture estimation using novel bio-inspired soft computing approaches

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

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

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