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ORCIDSaeid Janizadeh
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2020 – today
- 2024
[j12]Saeid Janizadeh, Thanh-Hai Tran, Sayed M. Bateni, Changhyun Jun, Dongkyun Kim, Clay Trauernicht, Essam Heggy:
Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kaua'i and Moloka'i Islands, Hawaii. Expert Syst. Appl. 258: 124963 (2024)- 2023
- [j11]Duong Tran Anh, Manish Pandey
, Varun Narayan Mishra, Kiran Kumari Singh, Kourosh Ahmadi, Saeid Janizadeh, Thanh-Hai Tran, Nguyen Thi Thuy Linh, Nguyen Mai Dang:
Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm. Appl. Soft Comput. 132: 109848 (2023) - 2022
- [j10]Mehdi Vafakhah, Ali Nasiri Khiavi, Saeid Janizadeh, Hojatolah Ganjkhanlo:
Evaluating different machine learning algorithms for snow water equivalent prediction. Earth Sci. Informatics 15(4): 2431-2445 (2022) - [j9]Khalifa M. Al-Kindi, Saeid Janizadeh:
Machine Learning and Hyperparameters Algorithms for Identifying Groundwater Aflaj Potential Mapping in Semi-Arid Ecosystems Using LiDAR, Sentinel-2, GIS Data, and Analysis. Remote. Sens. 14(21): 5425 (2022) - 2021
- [j8]Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Saeid Janizadeh, Fariborz Shabani, Kourosh Ahmadi, Farzin Shabani:
Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia. Remote. Sens. 13(13): 2638 (2021) - 2020
- [j7]Mohammadtaghi Avand, Saeid Janizadeh, Dieu Tien Bui, Pham Viet Hoa, Phuong-Thao Thi Ngo, Viet-Ha Nhu:
A tree-based intelligence ensemble approach for spatial prediction of potential groundwater. Int. J. Digit. Earth 13(12): 1408-1429 (2020) - [j6]Xinxiang Lei, Wei Chen, Mohammadtaghi Avand, Saeid Janizadeh, Narges Kariminejad, Hejar Shahabi, Romulus Costache, Himan Shahabi, Ataollah Shirzadi, Amir Mosavi:
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran. Remote. Sens. 12(15): 2478 (2020) - [j5]Kourosh Ahmadi, Bahareh Kalantar, Vahideh Saeidi, Elaheh K. G. Harandi, Saeid Janizadeh, Naonori Ueda:
Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data. Remote. Sens. 12(18): 3019 (2020) - [j4]Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, Rabin Chakrabortty, Assefa M. Melesse, Amirhosein Mosavi:
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms. Remote. Sens. 12(21): 3568 (2020) - [j3]Bahareh Kalantar, Naonori Ueda, Mohammed Oludare Idrees, Saeid Janizadeh, Kourosh Ahmadi, Farzin Shabani:
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data. Remote. Sens. 12(22): 3682 (2020) - [j2]Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, Rabin Chakrabortty, Manouchehr Shokri, Amirhosein Mosavi:
Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility. Sensors 20(19): 5609 (2020) - [j1]Shahab S. Band, Saeid Janizadeh, Subodh Chandra Pal, Indrajit Chowdhuri, Zhaleh Siabi, Akbar Norouzi, Assefa M. Melesse, Manouchehr Shokri, Amirhosein Mosavi:
Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration. Sensors 20(20): 5763 (2020)
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