Th e Role of International Boundaries in Flood Hazard, Social Vulnerability and Disaster: A Bi-National Case Study of Ciudad Acuña, Coahuila and Del Rio, Texas by John P. Tiefenbacher

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Using machine learning to predict processes and morphometric features of watershed by Marzieh Mokarram, Hamid Reza Pourghasemi, John P. Tiefenbacher

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Author Correction: Using machine learning to predict processes and morphometric features of watershed by Marzieh Mokarram, Hamid Reza Pourghasemi, John P. Tiefenbacher

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Provision of eucalyptus wood farming potential map in Iran: An application of land cover, ecological, climatic, hydrologic, and edaphic analysis in a GIS-based fuzzy AHP framework by Saeedeh Eskandari, Kourosh Behnamfar, Hamid Reza Pourghasemi, John P. Tiefenbacher

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Assessment of Ensemble Models for Groundwater Potential Modeling and Prediction in a Karst Watershed by Mohsen Farzin, Mohammadtaghi Avand, Hassan Ahmadzadeh, Martina Zelenakova, John P. Tiefenbacher

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Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran) by Alireza Arabameri, Saro Lee, John P. Tiefenbacher, Phuong Thao Thi Ngo

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Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management? by Hamid Reza Pourghasemi, Amiya Gayen, Mohsen Edalat, Mehrdad Zarafshar, John P. Tiefenbacher

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Testing Possible Scenario-Based Responses of Vegetation Under Expected Climatic Changes in Khuzestan Province by Hadi Eskandari Damaneh, Meysam Jafari, Hamed Eskandari Damaneh, Marjan Behnia, Asadollah Khoorani, John P. Tiefenbacher

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Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study by Alireza Arabameri, Thomas Blaschke, Biswajeet Pradhan, Hamid Reza Pourghasemi, John P. Tiefenbacher, Dieu Tien Bui

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Assessment of the outbreak risk, mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models. by Hamid Reza Pourghasemi, Soheila Pouyan, Zakariya Farajzadeh, Nitheshnirmal Sadhasivam, Bahram Heidari, Sedigheh Babaei, John P Tiefenbacher

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River Water Salinity Prediction Using Hybrid Machine Learning Models by Assefa M. Melesse, Khabat Khosravi, John P. Tiefenbacher, Salim Heddam, Sungwon Kim, Amir Mosavi, Binh Thai Pham

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Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility by Alireza Arabameri, Omid Asadi Nalivan, Sunil Saha, Jagabandhu Roy, Biswajeet Pradhan, John P. Tiefenbacher, Phuong Thao Thi Ngo

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Uncovering the Depletion Patterns of Inland Water Bodies via Remote Sensing, Data Mining, and Statistical Analysis by Babak Zolghadr-Asli, Mojtaba Naghdyzadegan Jahromi, Xi Wan, Maedeh Enayati, Maryam Naghdizadegan Jahromi, Mohsen Tahmasebi Nasab, John P. Tiefenbacher, Hamid Reza Pourghasemi

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Climate Change, Land Use/Land Cover Change, and Population Growth as Drivers of Groundwater Depletion in the Central Valleys, Oaxaca, Mexico by Edwin Antonio Ojeda Olivares, Sadoth Sandoval Torres, Salvador Isidro Belmonte Jiménez, José Oscar Campos Enríquez, Francesco Zignol, Yunuen Reygadas, John P. Tiefenbacher

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Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020) by Hamid Reza Pourghasemi, Soheila Pouyan, Bahram Heidari, Zakariya Farajzadeh, Seyed Rashid Fallah Shamsi, Sedigheh Babaei, Rasoul Khosravi, Mohammad Etemadi, Gholamabbas Ghanbarian, Ahmad Farhadi, Roja Safaeian, Zahra Heidari, Mohammad Hassan Tarazkar, John P. Tiefenbacher, Amir Azmi, Faezeh Sadeghian

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