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Journal of Environmental Management
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April 24, 2025
Deep learning-based spatial optimization of green and cool roof implementation for urban heat mitigation
JiHyun Kim, Suyeon Choi, Mahdi Panahi, et al.
Scientific Data
|
March 11, 2026
Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements
Jungho Seo, Mahdi Panahi, JiHyun Kim, et al.
The Science of the Total Environment
|
July 28, 2019
Multi-hazard probability assessment and mapping in Iran
Hamid Reza Pourghasemi, Amiya Gayen, Mahdi Panahi, et al.
The Science of the Total Environment
|
June 24, 2020
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms
Mahdi Panahi, Amiya Gayen, Hamid Reza Pourghasemi, et al.
Environmental Pollution (Barking, Essex : 1987)
|
October 21, 2021
Radon potential mapping in Jangsu-gun, South Korea using probabilistic and deep learning algorithms
Fatemeh Rezaie, Mahdi Panahi, Jongchun Lee, et al.
Journal of Environmental Management
|
December 30, 2021
Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea
Wahyu Luqmanul Hakim, Fatemeh Rezaie, Arip Syaripudin Nur, et al.
The Science of the Total Environment
|
October 28, 2017
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
Haoyuan Hong, Mahdi Panahi, Ataollah Shirzadi, et al.
Journal of Environmental Management
|
July 8, 2019
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
Yi Wang, Haoyuan Hong, Wei Chen, et al.
Environment International
|
January 6, 2023
Spatial modeling of geogenic indoor radon distribution in Chungcheongnam-do, South Korea using enhanced machine learning algorithms
Fatemeh Rezaie, Mahdi Panahi, Sayed M Bateni, et al.
Journal of Environmental Management
|
December 7, 2023
Improving the prediction of wildfire susceptibility on Hawai'i Island, Hawai'i, using explainable hybrid machine learning models
Trang Thi Kieu Tran, Saeid Janizadeh, Sayed M Bateni, et al.
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Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Journal of Environmental Management
|
April 24, 2025
Deep learning-based spatial optimization of green and cool roof implementation for urban heat mitigation
JiHyun Kim, Suyeon Choi, Mahdi Panahi, et al.
Scientific Data
|
March 11, 2026
Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements
Jungho Seo, Mahdi Panahi, JiHyun Kim, et al.
The Science of the Total Environment
|
July 28, 2019
Multi-hazard probability assessment and mapping in Iran
Hamid Reza Pourghasemi, Amiya Gayen, Mahdi Panahi, et al.
The Science of the Total Environment
|
June 24, 2020
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms
Mahdi Panahi, Amiya Gayen, Hamid Reza Pourghasemi, et al.
Environmental Pollution (Barking, Essex : 1987)
|
October 21, 2021
Radon potential mapping in Jangsu-gun, South Korea using probabilistic and deep learning algorithms
Fatemeh Rezaie, Mahdi Panahi, Jongchun Lee, et al.
Journal of Environmental Management
|
December 30, 2021
Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea
Wahyu Luqmanul Hakim, Fatemeh Rezaie, Arip Syaripudin Nur, et al.
The Science of the Total Environment
|
October 28, 2017
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
Haoyuan Hong, Mahdi Panahi, Ataollah Shirzadi, et al.
Journal of Environmental Management
|
July 8, 2019
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
Yi Wang, Haoyuan Hong, Wei Chen, et al.
Environment International
|
January 6, 2023
Spatial modeling of geogenic indoor radon distribution in Chungcheongnam-do, South Korea using enhanced machine learning algorithms
Fatemeh Rezaie, Mahdi Panahi, Sayed M Bateni, et al.
Journal of Environmental Management
|
December 7, 2023
Improving the prediction of wildfire susceptibility on Hawai'i Island, Hawai'i, using explainable hybrid machine learning models
Trang Thi Kieu Tran, Saeid Janizadeh, Sayed M Bateni, et al.
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of 2