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Corrigendum: Hydrology Research 50 (6), 1645–1664: Difference in the bed load transport of graded and uniform sediments during floods: An experimental investigation, Khabat Khosravi, Amir H. N. Chegini, Andrew D. Binns, Prasad Daggupati and Luca Mao, https://doi.org/10.2166/nh.2019.078

Hydrology Research, 2021-12, Vol.52 (6), p.1648-1648

Khosravi, Khabat

2021

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A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

The Science of the total environment, 2018-06, Vol.627, p.744-755

2018

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Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon’s entropy, statistical index, and weighting factor models

Environmental monitoring and assessment, 2016-12, Vol.188 (12), p.656-656, Article 656

2016

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Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

The Science of the total environment, 2019-04, Vol.662, p.332-346

2019

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Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

Di xue qian yuan., 2021-03, Vol.12 (2), p.505-519

2021

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Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction

Environmental science and pollution research international, 2021-03, Vol.28 (9), p.11637-11649

2021

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Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

Scientific reports, 2018-10, Vol.8 (1), p.15364-14, Article 15364

2018

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Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.266

2020

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Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models

Water (Basel), 2019-07, Vol.11 (7), p.1402

2019

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A GIS-based groundwater pollution potential using DRASTIC, modified DRASTIC, and bivariate statistical models

Environmental science and pollution research international, 2021-09, Vol.28 (36), p.50525-50541

2021

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Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (13), p.1589

2019

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New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

Water (Basel), 2018-09, Vol.10 (9), p.1210

2018

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Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping

Hydrogeology journal, 2019-11, Vol.27 (7), p.2511-2534

2019

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AI-driven predictions of geophysical river flows with vegetation

Scientific reports, 2024-07, Vol.14 (1), p.16368-20, Article 16368

2024

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River Water Salinity Prediction Using Hybrid Machine Learning Models

Water (Basel), 2020-10, Vol.12 (10), p.2951

2020

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Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (8), p.931

2019

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Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China

Natural hazards (Dordrecht), 2019-06, Vol.97 (2), p.579-609

2019

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Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches

Acta geophysica, 2023-04, Vol.71 (2), p.1015-1031

2023

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Spatial variability of soil water erosion: Comparing empirical and intelligent techniques

Di xue qian yuan., 2023-01, Vol.14 (1), p.1-16, Article 101456

2023

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Author Correction: Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

Scientific reports, 2021-07, Vol.11 (1), p.15152-15152, Article 15152

2021

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Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images

International journal of environmental research and public health, 2020-06, Vol.17 (12), p.4210

2020

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A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping

Water (Basel), 2019-10, Vol.11 (10), p.2013

2019

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Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models

Pedosphere, 2023-06, Vol.33 (3), p.479-495

2023

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Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling

Smart agricultural technology, 2024-12, Vol.9, p.100559, Article 100559

2024

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Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models

Water (Basel), 2022-10, Vol.14 (19), p.3011

2022

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Corrigendum: Hydrology Research 50 (6), 1645–1664: Difference in the bed load transport of graded and uniform sediments during floods: An experimental investigation, Khabat Khosravi, Amir H. N. Chegini, Andrew D. Binns, Prasad Daggupati and Luca Mao, https://doi.org/10.2166/nh.2019.078

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon’s entropy, statistical index, and weighting factor models

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

Iterative classifier optimizer-based pace regression and random forest hybrid models for suspended sediment load prediction

Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier

Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models

A GIS-based groundwater pollution potential using DRASTIC, modified DRASTIC, and bivariate statistical models

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping

AI-driven predictions of geophysical river flows with vegetation

River Water Salinity Prediction Using Hybrid Machine Learning Models

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed, China

Snow water equivalent prediction in a mountainous area using hybrid bagging machine learning approaches

Spatial variability of soil water erosion: Comparing empirical and intelligent techniques

Author Correction: Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods

Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images

A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping

Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models

Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling

Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models

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