A. Motevalli

发表

Spatial modelling of gully erosion in Mazandaran Province, northern Iran

Hamid Reza Pourghasemi, Alireza Motevalli, Abdulvahed Khaledi Darvishan, 2018 .

Assessment of GIS-Based Machine Learning Algorithms for Spatial Modeling of Landslide Susceptibility: Case Study in Iran

H. Pourghasemi, M. Zabihi, A. Motevalli, 2018 .

Gully Erosion Modeling Using GIS-Based Data Mining Techniques in Northern Iran: A Comparison Between Boosted Regression Tree and Multivariate Adaptive Regression Spline

H. Pourghasemi, M. Zabihi, A. Motevalli, 2018, Advances in Natural and Technological Hazards Research.

A Comprehensive evaluation of groundwater vulnerability to saltwater up-coning and sea water intrusion in a coastal aquifer (case study: Ghaemshahr-juybar aquifer)

H. Moradi, S. Javadi, A. Motevalli, 2018 .

AN EVALUATION OF LANDSLIDE SUSCEPTIBILITY MAPPING USING REMOTE SENSING DATA AND MACHINE LEARNING ALGORITHMS IN IRAN

N. Ueda, H. A. Al-Najjar, A. Motevalli, 2019, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Evaluation of three environmental flow techniques in Shoor wetland of Golpayegan, Iran

A. Motevalli, J. Aazami, M. Savabieasfahani, 2022, International Journal of Environmental Science and Technology.

Landslide susceptibility mapping at Dodangeh watershed, Iran using LR and ANN models in GIS

Naonori Ueda, Bahareh Kalantar, Biswajeet Pradhan, 2018, Remote Sensing.

Evaluation of three environmental flow techniques in Shoor wetland of Golpayegan, Iran

A. Motevalli, J. Aazami, M. Savabieasfahani, 2022, International Journal of Environmental Science and Technology.

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

Bahareh Kalantar, Biswajeet Pradhan, Shattri Mansor, 2018 .

Human-induced arsenic pollution modeling in surface waters - An integrated approach using machine learning algorithms and environmental factors.

Seyed Amir Naghibi, A. Motevalli, M. Mohammadi, 2021, Journal of environmental management.

How do data-mining models consider arsenic contamination in sediments and variables importance?

Hamid Reza Pourghasemi, Prosun Bhattacharya, Alireza Motevalli, 2019, Environmental Monitoring and Assessment.

Effect of Drying Methods on Thermal Utilization Efficiency

A. Motevalli, 2013 .

Application of Three Metaheuristic Techniques in Simulation of Concrete Slump

Bahareh Kalantar, Hossein Moayedi, Loke Kok Foong, 2019, Applied Sciences.

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

Biswajeet Pradhan, Ronny Berndtsson, Hossein Hashemi, 2019, Journal of Cleaner Production.

Assessing the Vulnerability of Groundwater to Salinization Using GIS-Based Data-Mining Techniques in a Coastal Aquifer

H. Pourghasemi, A. Motevalli, V. Gholami, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

Application of a Physically based Model for Terrain Stability Mapping in in North of Iran

H. Omar, A. Motevalli, M. Safaei, 2013 .

Evaluation and Improvement of Thermal Energy of Heat Exchangers with SWCNT, GQD Nanoparticles and PCM (RT82)

N. Sidik, G. Najafi, A. Motevalli, 2020, Journal of Advanced Research in Fluid Mechanics and Thermal Sciences.

Flood hazard mapping using synthesis hydraulic and geomorphic properties at watershed scale

Mehdi Vafakhah, Alireza Motevalli, A. Motevalli, 2016, Stochastic Environmental Research and Risk Assessment.