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Prediction of flood discharge and flood flow depth using a hydraulic model and flood marks on the trees in ungauged forested watersheds

Journal of forest science (Praha), 2022, Vol.68 (5), p.190-198

Gholami, Vahid

2022

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Simulation of rainfall-runoff process using an artificial neural network (ANN) and field plots data

Theoretical and applied climatology, 2022, Vol.147 (1-2), p.87-98

2022

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Spatial modeling of groundwater depth fluctuations using co-active neuro-fuzzy inference system (CANFIS) and geographic information system (GIS)

Applied water science, 2022-03, Vol.12 (3), p.1-12, Article 24

Gholami, Vahid

2022

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Prediction of groundwater drawdown using artificial neural networks

Environmental science and pollution research international, 2022-05, Vol.29 (22), p.33544-33557

2022

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Random forest and extreme gradient boosting algorithms for streamflow modeling using vessel features and tree-rings

Environmental earth sciences, 2021-11, Vol.80 (22), Article 747

2021

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Monthly river flow modeling using earlywood vessel feature changes, and tree-rings

Ecological indicators, 2021-06, Vol.125, p.107590, Article 107590

2021

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A simulation of the rainfall-runoff process using artificial neural network and HEC-HMS model in forest lands

Journal of forest science (Praha), 2021-01, Vol.67 (4), p.165-174

2021

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Optimization of Air Distribution Patterns by Arrangements of ‎Air Inlets and Outlets: Case Study of an Operating Room

Journal of applied and computational mechanics, 2022-07, Vol.8 (3), p.809-830

2022

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The influence of river point bars on flood hydraulic using geometric model

Modeling earth systems and environment, 2022-06, Vol.8 (2), p.1669-1681

2022

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Mapping soil erosion rates using self-organizing map (SOM) and geographic information system (GIS) on hillslopes

Earth science informatics, 2020-12, Vol.13 (4), p.1175-1185

2020

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Prediction of soil splash erosion using fuzzy network-CANFIS

Arabian journal of geosciences, 2022-10, Vol.15 (20), Article 1604

2022

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A hydro-climatic approach for extreme flood estimation in mountainous catchments

Applied water science, 2024-05, Vol.14 (5), p.98-17

2024

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A comparative analysis of statistical and machine learning techniques for mapping the spatial distribution of groundwater salinity in a coastal aquifer

Journal of hydrology (Amsterdam), 2020-12, Vol.591, p.125321, Article 125321

2020

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Assessing the rice straw effects on the soil erosion rate in forest road cut slope embankments

Caspian journal of environmental sciences, 2021, Vol.19 (2), p.325-339

2021

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Integration of artificial neural network and geographic information system applications in simulating groundwater quality

Environmental health engineering and management, 2016-10, Vol.3 (4), p.173-182

2016

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The impact of vegetation on the bank erosion (Case study: The Haraz River)

Soil and water research, 2013-01, Vol.8 (4), p.158-164

2013

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The application of solar integrated absorption cooling system to improve the air quality and reduce the energy consumption of the air conditioning systems in buildings – A full year model simulation

Energy and buildings, 2022-11, Vol.274, p.112420, Article 112420

2022

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Machine learning applications for water-induced soil erosion modeling and mapping

Soil & tillage research, 2021-07, Vol.211, p.105032, Article 105032

2021

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A Hybrid Approach of Supervised Self-organizing Maps and Genetic Algorithms for Predictive Mapping of Arsenic Pollution in Groundwater Resources

Exposure and health, 2023-08

2023

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Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater

Journal of cleaner production, 2019-08, Vol.228, p.1248-1263

2019

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Soil erosion modeling using erosion pins and artificial neural networks

Catena (Giessen), 2021-01, Vol.196, p.104902, Article 104902

2021

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Spatial soil erosion estimation using an artificial neural network (ANN) and field plot data

Catena (Giessen), 2018-04, Vol.163, p.210-218

2018

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Evaluating the effects of vegetation and land management on runoff control using field plots and machine learning models

Environmental science and pollution research international, 2023-03, Vol.30 (11), p.31202-31217

2023

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Evaluation of machine learning algorithms for groundwater quality modeling

Environmental science and pollution research international, 2023-04, Vol.30 (16), p.46004-46021

2023

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Combining artificial neural networks and genetic algorithms to model nitrate contamination in groundwater

Natural hazards (Dordrecht), 2024-03, Vol.120 (5), p.4789-4809

2024

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Prediction of flood discharge and flood flow depth using a hydraulic model and flood marks on the trees in ungauged forested watersheds

Simulation of rainfall-runoff process using an artificial neural network (ANN) and field plots data

Spatial modeling of groundwater depth fluctuations using co-active neuro-fuzzy inference system (CANFIS) and geographic information system (GIS)

Prediction of groundwater drawdown using artificial neural networks

Random forest and extreme gradient boosting algorithms for streamflow modeling using vessel features and tree-rings

Monthly river flow modeling using earlywood vessel feature changes, and tree-rings

A simulation of the rainfall-runoff process using artificial neural network and HEC-HMS model in forest lands

Optimization of Air Distribution Patterns by Arrangements of ‎Air Inlets and Outlets: Case Study of an Operating Room

The influence of river point bars on flood hydraulic using geometric model

Mapping soil erosion rates using self-organizing map (SOM) and geographic information system (GIS) on hillslopes

Prediction of soil splash erosion using fuzzy network-CANFIS

A hydro-climatic approach for extreme flood estimation in mountainous catchments

A comparative analysis of statistical and machine learning techniques for mapping the spatial distribution of groundwater salinity in a coastal aquifer

Assessing the rice straw effects on the soil erosion rate in forest road cut slope embankments

Integration of artificial neural network and geographic information system applications in simulating groundwater quality

The impact of vegetation on the bank erosion (Case study: The Haraz River)

The application of solar integrated absorption cooling system to improve the air quality and reduce the energy consumption of the air conditioning systems in buildings – A full year model simulation

Machine learning applications for water-induced soil erosion modeling and mapping

A Hybrid Approach of Supervised Self-organizing Maps and Genetic Algorithms for Predictive Mapping of Arsenic Pollution in Groundwater Resources

Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater

Soil erosion modeling using erosion pins and artificial neural networks

Spatial soil erosion estimation using an artificial neural network (ANN) and field plot data

Evaluating the effects of vegetation and land management on runoff control using field plots and machine learning models

Evaluation of machine learning algorithms for groundwater quality modeling

Combining artificial neural networks and genetic algorithms to model nitrate contamination in groundwater

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