A tree-based intelligence ensemble approach for spatial prediction of potential groundwater. - Mohammadtaghi Avand; Saeid Janizadeh; Dieu Tien Bui; Pham Viet Hoa; Phuong-Thao Thi Ngo; Viet-Ha Nhu (Int. J. Digit. Earth, 2020)

Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data. - Kourosh Ahmadi; Bahareh Kalantar; Vahideh Saeidi; Elaheh K. G. Harandi; Saeid Janizadeh; Naonori Ueda (Remote. Sens., 2020)

Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms. - Shahab S. Band; Saeid Janizadeh; Subodh Chandra Pal; Asish Saha; Rabin Chakrabortty; Assefa M. Melesse; Amirhosein Mosavi (Remote. Sens., 2020)

Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data. - Bahareh Kalantar; Naonori Ueda; Mohammed Oludare Idrees; Saeid Janizadeh; Kourosh Ahmadi; Farzin Shabani (Remote. Sens., 2020)

GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran. - Xinxiang Lei; Wei Chen 051; Mohammadtaghi Avand; Saeid Janizadeh; Narges Kariminejad; Hejar Shahabi; Romulus Costache; Himan Shahabi; Ataollah Shirzadi; Amir Mosavi (Remote. Sens., 2020)

Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration. - Shahab S. Band; Saeid Janizadeh; Subodh Chandra Pal; Indrajit Chowdhuri; Zhaleh Siabi; Akbar Norouzi; Assefa M. Melesse; Manouchehr Shokri; Amirhosein Mosavi (Sensors, 2020)

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility. - Shahab S. Band; Saeid Janizadeh; Subodh Chandra Pal; Asish Saha; Rabin Chakrabortty; Manouchehr Shokri; Amirhosein Mosavi (Sensors, 2020)

Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia. - Bahareh Kalantar; Naonori Ueda; Vahideh Saeidi; Saeid Janizadeh; Fariborz Shabani; Kourosh Ahmadi; Farzin Shabani (Remote. Sens., 2021)

Evaluating different machine learning algorithms for snow water equivalent prediction. - Mehdi Vafakhah; Ali Nasiri Khiavi; Saeid Janizadeh; Hojatolah Ganjkhanlo (Earth Sci. Informatics, 2022)

Machine Learning and Hyperparameters Algorithms for Identifying Groundwater Aflaj Potential Mapping in Semi-Arid Ecosystems Using LiDAR, Sentinel-2, GIS Data, and Analysis. - Khalifa M. Al-Kindi; Saeid Janizadeh (Remote. Sens., 2022)

Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm. - Duong Tran Anh; Manish Pandey; Varun Narayan Mishra; Kiran Kumari Singh; Kourosh Ahmadi; Saeid Janizadeh; Thanh-Hai Tran 001; Nguyen Thi Thuy Linh; Nguyen Mai Dang (Appl. Soft Comput., 2023)

Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kaua'i and Moloka'i Islands, Hawaii. - Saeid Janizadeh; Thanh-Hai Tran 001; Sayed M. Bateni; Changhyun Jun 001; Dongkyun Kim; Clay Trauernicht; Essam Heggy (Expert Syst. Appl., 2024)