Machine Learning and Hyperparameters Algorithms for Identifying Groundwater Aflaj Potential Mapping in Semi-Arid Ecosystems Using LiDAR, Sentinel-2, GIS Data, and Analysis by Khalifa M. Al-Kindi, Saeid Janizadeh

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Riverine flood potential assessment using metaheuristic hybrid machine learning algorithms by Matej Vojtek, Saeid Janizadeh, Jana Vojteková

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Riverine flood potential assessment at municipal level in Slovakia by Matej Vojtek, Saeid Janizadeh, Jana Vojteková

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Disaster Preparedness: Knowledge, Attitude, and Practice of Hospital Staff by Raziyeh Janizadeh, Fateme Omidvari, Zahra Motlagh, Mehdi Jahangiri

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Effective Factors in Depression, Anxiety and Stress in the Workplace and their Impact on Job Satisfaction in Fasa Health Workers in 2019 by Touraj Khazraee, Gholamali Rayatpishe, Zeynab Heidari, Susan Janizadeh

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Looking beyond the screen: A systematic review of safety in control rooms by Raziyeh Janizadeh, Alireza Choobineh, Soheyla Ahmadi Charkhabi, Mehdi Jahangiri

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Impact of titanium dioxide particles on adsorption properties of HZSM-5 zeolite for toluene treatment by Hasan Asilian Mahabadi, Maryam Farokhzad, Mohammad Sharif Hosseini, Elham Yahyaei, Razieh Janizadeh

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Soil Erosion Susceptibility Mapping in Kozetopraghi Catchment, Iran: A Mixed Approach Using Rainfall Simulator and Data Mining Techniques by Abazar Esmali Ouri, Mohammad Golshan, Saeid Janizadeh, Artemi Cerdà, Assefa M. Melesse

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Investigating the Contract Welders Quality of Life and the Quality of Working Life Relationship in Anzaly City in 2014 by Javane Momeni, Elham Yahyaei, Razieh Janizadeh, Yasaman Pourbakhshi, Samira Elyasi, Mehdi Jahangir Boluorchian

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Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data by Bahareh Kalantar, Naonori Ueda, Mohammed O. Idrees, Saeid Janizadeh, Kourosh Ahmadi, Farzin Shabani

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Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia by Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Saeid Janizadeh, Fariborz Shabani, Kourosh Ahmadi, Farzin Shabani

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Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data by Kourosh Ahmadi, Bahareh Kalantar, Vahideh Saeidi, Elaheh K. G. Harandi, Saeid Janizadeh, Naonori Ueda

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Risk Identification and Risk Assessment Using Failure Mode and Effect Analysis in a Textile Industry by Atefe Mohamadinejad, Parviz Kakaei, Tayebeh Nikdel, Mahin Khalil Tahmasobi, Norooz Tamoradi Mongenan, Razieh Janizadeh

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Textile Industry Hazard Identification and Risk Assessment by Using HAZAN Method by Razieh Janizadeh, Parviz Kakaei, Tayebe Nickdel, Mahin Khalil Tahmasbi, Norooz Tamoradi, Atefeh Mohamadi Nezhad

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Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility by Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, Rabin Chakrabortty, Manouchehr Shokri, Amirhosein Mosavi

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Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms by Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, Rabin Chakrabortty, Assefa M. Melesse, Amirhosein Mosavi

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A tree-based intelligence ensemble approach for spatial prediction of potential groundwater by Mohammadtaghi Avand, Saeid Janizadeh, Dieu Tien Bui, Viet Hoa Pham, Phuong Thao T. Ngo, Viet-Ha Nhu

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Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility by Saeid Janizadeh, Sayed M. Bateni, Changhyun Jun, Jungho Im, Hao-Thing Pai, Shahab S. Band, Amir Mosavi

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Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility Using ALOS/PALSAR Data by Shahab S. Band, Saeid Janizadeh, Sunil Saha, Kaustuv Mukherjee, Saeid Khosrobeigi Bozchaloei, Artemi Cerdà, Manouchehr Shokri, Amirhosein Mosavi

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Flood susceptibility mapping using an improved analytic network process with statistical models by Peyman Yariyan, Mohammadtaghi Avand, Rahim Ali Abbaspour, Ali Torabi Haghighi, Romulus Costache, Omid Ghorbanzadeh, Saeid Janizadeh, Thomas Blaschke

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