Ali Golkarian

Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS

Ali Golkarian, Seyed Amir Naghibi, Bahareh Kalantar et al. · Environmental Monitoring and Assessment · 2018 · 222 citations

Hydrogeology, Engineering, Water Resources +10

Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran

Khabat Khosravi, Mahdi Panahi, Ali Golkarian et al. · Journal of Hydrology · 2020 · 195 citations · Full text

Flash Flood, Engineering, Flood Hazard +10

Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities

Omid Rahmati, Ali Golkarian, Trent Biggs et al. · Journal of Environmental Management · 2019 · 139 citations

Human Activities, Engineering, Subsidence Monitoring +10

GIS-based Groundwater Spring Potential Mapping Using Data Mining Boosted Regression Tree and Probabilistic Frequency Ratio Models in Iran

Biswajeet Pradhan, Seyed Mohsen Mousavi, Ali Golkarian et al. · AIMS Geosciences · 2017 · 87 citations · Full text

Engineering, Hydrogeophysics, Groundwater Potential Mapping +17

Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms

Khabat Khosravi, Ali Golkarian, John P. Tiefenbacher · Water Resources Management · 2022 · 77 citations

Stream Processing, Deep Neural Networks, Predict Daily Streamflow +11