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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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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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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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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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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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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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Evaluation of the RF-MEP Method for Merging Multiple Gridded Precipitation Products in the Chongqing City, China

Remote sensing (Basel, Switzerland), 2023-09, Vol.15 (17), p.4230

2023

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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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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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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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Incorporating Rainwater Harvesting Systems in Iran’s Potable Water-Saving Scheme by Using a GIS-Simulation Based Decision Support System

Water (Basel), 2020-03, Vol.12 (3), p.752

2020

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Application of Machine Learning and Remote Sensing in Hydrology

Sustainability (Basel, Switzerland), 2022-06, Vol.14 (13), p.7586

Mohammadi, Babak

2022

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Letter to the Editor “Design of an integrated climatic assessment indicator (ICAI) for wheat production: A case study in Jiangsu Province, China” by Xiangying Xu, Ping Gao, Xinkai Zhu, Wenshan Guo, Jinfeng Ding, Chunyan Li, Min Zhu, Xuanwei Wu

Ecological indicators, 2019-08, Vol.103, p.493-493

Mohammadi, Babak

2019

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“Prediction of effective climate change indicators using statistical downscaling approach and impact assessment on pearl millet (Pennisetum glaucum L.) yield through genetic algorithm in Punjab, Pakistan” by Asmat Ullah, Nasrin Salehnia, Sohrab Kolsoumi, Ashfaq Ahmad, Tasneem Khaliq

Ecological indicators, 2019-06, Vol.101, p.973-974

Mohammadi, Babak

2019

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Immunity to Diphtheria and Tetanus in Army Personnel and Adult Civilians in Mashhad, Iran

Japanese Journal of Infectious Diseases, 2017, Vol.70(2), pp.132-135

2017

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Assessment of bio-inspired metaheuristic optimisation algorithms for estimating soil temperature

Geoderma, 2019-11, Vol.353, p.152-171

2019

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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

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

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

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

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

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

Evaluation of the RF-MEP Method for Merging Multiple Gridded Precipitation Products in the Chongqing City, China

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

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

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

Incorporating Rainwater Harvesting Systems in Iran’s Potable Water-Saving Scheme by Using a GIS-Simulation Based Decision Support System

Application of Machine Learning and Remote Sensing in Hydrology

Letter to the Editor “Design of an integrated climatic assessment indicator (ICAI) for wheat production: A case study in Jiangsu Province, China” by Xiangying Xu, Ping Gao, Xinkai Zhu, Wenshan Guo, Jinfeng Ding, Chunyan Li, Min Zhu, Xuanwei Wu

“Prediction of effective climate change indicators using statistical downscaling approach and impact assessment on pearl millet (Pennisetum glaucum L.) yield through genetic algorithm in Punjab, Pakistan” by Asmat Ullah, Nasrin Salehnia, Sohrab Kolsoumi, Ashfaq Ahmad, Tasneem Khaliq

Immunity to Diphtheria and Tetanus in Army Personnel and Adult Civilians in Mashhad, Iran

Assessment of bio-inspired metaheuristic optimisation algorithms for estimating soil temperature

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