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Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (17), p.2833

2020

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Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1890

2020

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The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers

Catena (Giessen), 2020-04, Vol.187, p.104421, Article 104421

2020

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A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran

Stochastic environmental research and risk assessment, 2023-05, Vol.37 (5), p.1821-1838

2023

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Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques

Journal of hydrology. Regional studies, 2021-08, Vol.36, p.100848, Article 100848

2021

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Big-trees – Energy mechanism underlies forest diversity and aboveground biomass

Forest ecology and management, 2020-04, Vol.461, p.117968, Article 117968

2020

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K-Fold and State-of-the-Art Metaheuristic Machine Learning Approaches for Groundwater Potential Modelling

Water resources management, 2021-04, Vol.35 (6), p.1837-1869

2021

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Land-subsidence susceptibility mapping: assessment of an adaptive neuro-fuzzy inference system-genetic algorithm hybrid model

Geocarto international, 2022-12, Vol.37 (26), p.12194-12218

2022

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A step beyond susceptibility: an adaptation of risk framework for monetary risk estimation of gully erosion

Natural hazards (Dordrecht), 2022-03, Vol.111 (2), p.1661-1684

2022

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GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

Sustainability, 2019, Vol.11 (20), p.5639

2019

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Urban Flood Hazard Modeling Using Self-Organizing Map Neural Network

Water (Basel), 2019-11, Vol.11 (11), p.2370

2019

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Performance Evaluation of GIS-Based Novel Ensemble Approaches for Land Subsidence Susceptibility Mapping

Frontiers in earth science (Lausanne), 2021-05, Vol.9

2021

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Data on assessment of corrosion-scaling potential and chemical parameters of groundwater quality for industrial and agricultural sectors in the Piranshahr Watershed in the West Azerbaijan province, Iran

Data in brief, 2019-12, Vol.27, p.104627-104627, Article 104627

2019

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Application of the novel state-of-the-art soft computing techniques for groundwater potential assessment

Arabian journal of geosciences, 2022, Vol.15 (10), Article 929

2022

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Application of TOPSIS method in evaluation and prioritization of social stability in rural areas (Case Study: Zidasht Basin)

Journal of applied science & environmental management, 2017-03, Vol.21 (1), p.49

2017

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Spatial mapping of gully erosion susceptibility using an efficient metaheuristic neural network

Environmental earth sciences, 2023-10, Vol.82 (20), p.459, Article 459

2023

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Identifying sources of dust aerosol using a new framework based on remote sensing and modelling

The Science of the total environment, 2020-10, Vol.737, p.139508-139508, Article 139508

2020

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Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios

Environmental science and pollution research international, 2023-04, Vol.30 (16), p.46979-46996

2023

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Impacts of climatic and edaphic factors on the diversity, structure and biomass of species-poor and structurally-complex forests

The Science of the total environment, 2020-03, Vol.706, p.135719, Article 135719

2020

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Environmental filtering, predominance of strong competitor trees and exclusion of moderate-weak competitor trees shape species richness and biomass

The Science of the total environment, 2020-06, Vol.723, p.138105-138105, Article 138105

2020

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TET: An automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency

Journal of cleaner production, 2020-09, Vol.266, p.122051, Article 122051

2020

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Determination of Groundwater Spring Potential Using Maximum Entropy, GIS and RS Emphasizing HAND Topographic-Hydrologic New Index (Case Study: Urmia Lake Basin)

Journal of Remote Sensing and Gis, 2021-07, Vol.13 (2), p.119-138

2021

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Identification of Groundwater Potential Zones using Geographic Information System and Analytical Hierarchy Process (AHP) (Case Study: Hable-rud River Basin-Iran)

journal of watershed management research, 2020-06, Vol.11 (21), p.36-47

2020

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Application of TOPSIS method in evaluation and prioritization of social stability in rural areas (Case Study: Zidasht Basin)

Journal of applied science & environmental management, 2017-02, Vol.21 (1), p.49-49

2017

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Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility

Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers

A hybrid intelligent model for spatial analysis of groundwater potential around Urmia Lake, Iran

Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques

Big-trees – Energy mechanism underlies forest diversity and aboveground biomass

K-Fold and State-of-the-Art Metaheuristic Machine Learning Approaches for Groundwater Potential Modelling

Land-subsidence susceptibility mapping: assessment of an adaptive neuro-fuzzy inference system-genetic algorithm hybrid model

A step beyond susceptibility: an adaptation of risk framework for monetary risk estimation of gully erosion

GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

Urban Flood Hazard Modeling Using Self-Organizing Map Neural Network

Performance Evaluation of GIS-Based Novel Ensemble Approaches for Land Subsidence Susceptibility Mapping

Data on assessment of corrosion-scaling potential and chemical parameters of groundwater quality for industrial and agricultural sectors in the Piranshahr Watershed in the West Azerbaijan province, Iran

Application of the novel state-of-the-art soft computing techniques for groundwater potential assessment

Application of TOPSIS method in evaluation and prioritization of social stability in rural areas (Case Study: Zidasht Basin)

Spatial mapping of gully erosion susceptibility using an efficient metaheuristic neural network

Identifying sources of dust aerosol using a new framework based on remote sensing and modelling

Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios

Impacts of climatic and edaphic factors on the diversity, structure and biomass of species-poor and structurally-complex forests

Environmental filtering, predominance of strong competitor trees and exclusion of moderate-weak competitor trees shape species richness and biomass

TET: An automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency

Determination of Groundwater Spring Potential Using Maximum Entropy, GIS and RS Emphasizing HAND Topographic-Hydrologic New Index (Case Study: Urmia Lake Basin)

Identification of Groundwater Potential Zones using Geographic Information System and Analytical Hierarchy Process (AHP) (Case Study: Hable-rud River Basin-Iran)

Application of TOPSIS method in evaluation and prioritization of social stability in rural areas (Case Study: Zidasht Basin)

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