Saeid Janizadeh

According to our database, Saeid Janizadeh authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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, Sayed M. Bateni, Changhyun Jun, Dongkyun Kim, Clay Trauernicht, Essam Heggy

Expert Syst. Appl., 2024

2023

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, Nguyen Thi Thuy Linh, Nguyen Mai Dang

Appl. Soft Comput., 2023

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

Evaluating different machine learning algorithms for snow water equivalent prediction.

Mehdi Vafakhah, Ali Nasiri Khiavi, Saeid Janizadeh, Hojatolah Ganjkhanlo

Earth Sci. Informatics, 2022

2021

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

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

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

GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran.

Xinxiang Lei, Wei Chen, Mohammadtaghi Avand, Saeid Janizadeh, Narges Kariminejad, Hejar Shahabi, Romulus Costache, Himan Shahabi, Ataollah Shirzadi, Amir 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

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

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

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