Abolfazl Jaafari

Orcid: 0000-0002-3441-6560

According to our database1, Abolfazl Jaafari authored at least 17 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
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, December, 2023

Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning.
Earth Sci. Informatics, March, 2023

Averaged Neural Network Integrated with Recursive Feature Elimination for Flood Hazard Assessment.
Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

2022
A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran.
Sensors, 2022

How does a combination of numerical modeling, clustering, artificial intelligence, and evolutionary algorithms perform to predict regional groundwater levels?
Comput. Electron. Agric., 2022

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., 2022

2021
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm.
Ecol. Informatics, 2021

Naïve Bayes ensemble models for groundwater potential mapping.
Ecol. Informatics, 2021

Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides.
Int. J. Digit. Earth, 2021

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, 2021

2020
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction.
Symmetry, 2020

2019
Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics.
Remote. Sens., 2019

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., 2019

Predicting Slope Stability Failure through Machine Learning Paradigms.
ISPRS Int. J. Geo Inf., 2019

Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran.
Comput. Electron. Agric., 2019

2018
Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers.
Ecol. Informatics, 2018

2017
A Bayesian modeling of wildfire probability in the Zagros Mountains, Iran.
Ecol. Informatics, 2017


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