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Abolfazl Jaafari
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2020 – today
- 2024
- [j17]Xiuqing Wang, Davood Mafi Gholami, Saied Pirasteh, Tao Wang, Huxiong Li, Tim G. Frazier, Akram Nouri Kamari, Abolfazl Jaafari, Ammar O. Abulibdeh:
Assessing spatial-Temporal dynamics of vulnerability of protected areas in Iran to multiple environmental hazards. Int. J. Appl. Earth Obs. Geoinformation 132: 104053 (2024) - 2023
- [j16]Parisa Panahi, Abolfazl Jaafari, Hasan Asgari, Mehdi Pourhashemi, Maryam Hasaninejad:
Comparing water requirements of urban landscape plants in an arid environment: An application of the WUCOLS method in the National Botanical Garden of Iran. Ecol. Informatics 78: 102390 (2023) - [j15]Tran Xuan Bien, Abolfazl Jaafari, Tran Van Phong, Phan Trong Trinh, Binh Thai Pham:
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning. Earth Sci. Informatics 16(1): 131-146 (2023) - [c1]Bahram Choubin, Abolfazl Jaafari, Jalal Henareh, Farzaneh Sajedi Hosseini, Amir Mosavi:
Averaged Neural Network Integrated with Recursive Feature Elimination for Flood Hazard Assessment. SACI 2023: 733-738 - 2022
- [j14]Abolfazl Jaafari, Mahdi Panahi, Davood Mafi Gholami, Omid Rahmati, Himan Shahabi, Ataollah Shirzadi, Saro Lee, Dieu Tien Bui, Biswajeet Pradhan:
Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides. Appl. Soft Comput. 116: 108254 (2022) - [j13]Zahra Kayhomayoon, Sami Ghordoyee-Milan, Abolfazl Jaafari, Naser Arya-Azar, Assefa M. Melesse, Hamid Kardan Moghaddam:
How does a combination of numerical modeling, clustering, artificial intelligence, and evolutionary algorithms perform to predict regional groundwater levels? Comput. Electron. Agric. 203: 107482 (2022) - [j12]Bahareh Ghasemian, Himan Shahabi, Ataollah Shirzadi, Nadhir Al-Ansari, Abolfazl Jaafari, Victoria R. Kress, Marten Geertsema, Somayeh Renoud, Anuar Ahmad:
A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran. Sensors 22(4): 1573 (2022) - 2021
- [j11]Saied Pirasteh, Eric K. Zenner, Davood Mafi Gholami, Abolfazl Jaafari, Akram Nouri Kamari, Guoxiang Liu, Qing Zhu, Jonathan Li:
Modeling mangrove responses to multi-decadal climate change and anthropogenic impacts using a long-term time series of satellite imagery. Int. J. Appl. Earth Obs. Geoinformation 102: 102390 (2021) - [j10]Binh Thai Pham, Abolfazl Jaafari, Trung Nguyen-Thoi, Tran Van Phong, Duy Huu Nguyen, Neelima Satyam, Md Masroor, Sufia Rehman, Haroon Sajjad, Mehebub Sahana, Hiep Van Le, Indra Prakash:
Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides. Int. J. Digit. Earth 14(5): 575-596 (2021) - [j9]Tran Thi Tuyen, Abolfazl Jaafari, Hoang Phan Hai Yen, Trung Nguyen-Thoi, Tran Van Phong, Huu Duy Nguyen, Hiep Van Le, Tran Thi Mai Phuong, Son Hoang Nguyen, Indra Prakash, Binh Thai Pham:
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm. Ecol. Informatics 63: 101292 (2021) - [j8]Binh Thai Pham, Abolfazl Jaafari, Tran Van Phong, Davood Mafi Gholami, Mahdis Amiri, Nguyen Van Tao, Van-Hao Duong, Indra Prakash:
Naïve Bayes ensemble models for groundwater potential mapping. Ecol. Informatics 64: 101389 (2021) - 2020
- [j7]Binh Thai Pham, Abolfazl Jaafari, Mohammadtaghi Avand, Nadhir Al-Ansari, Tran Dinh Du, Hoang Phan Hai Yen, Tran Van Phong, Duy Huu Nguyen, Hiep Van Le, Davood Mafi Gholami, Indra Prakash, Hoang Thi Thuy, Tran Thi Tuyen:
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction. Symmetry 12(6): 1022 (2020)
2010 – 2019
- 2019
- [j6]Mahmoud Bayat, Mansour Ghorbanpour, Rozita Zare, Abolfazl Jaafari, Binh Thai Pham:
Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran. Comput. Electron. Agric. 164 (2019) - [j5]Hossein Moayedi, Dieu Tien Bui, Mesut Gör, Biswajeet Pradhan, Abolfazl Jaafari:
The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes. ISPRS Int. J. Geo Inf. 8(9): 391 (2019) - [j4]Dieu Tien Bui, Hossein Moayedi, Mesut Gör, Abolfazl Jaafari, Loke Kok Foong:
Predicting Slope Stability Failure through Machine Learning Paradigms. ISPRS Int. J. Geo Inf. 8(9): 395 (2019) - [j3]Abolfazl Jaafari, Davood Mafi Gholami, Binh Thai Pham, Dieu Tien Bui:
Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics. Remote. Sens. 11(6): 618 (2019) - 2018
- [j2]Abolfazl Jaafari, Eric K. Zenner, Binh Thai Pham:
Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers. Ecol. Informatics 43: 200-211 (2018) - 2017
- [j1]Abolfazl Jaafari, Davood Mafi Gholami, Eric K. Zenner:
A Bayesian modeling of wildfire probability in the Zagros Mountains, Iran. Ecol. Informatics 39: 32-44 (2017)
Coauthor Index
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