Search Results - "Panahi, Mahdi"

Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran by Khosravi, Khabat, Panahi, Mahdi, Golkarian, Ali, Keesstra, Saskia D., Saco, Patricia M., Bui, Dieu Tien, Lee, Saro

“…•Flood susceptibility map at a scale of Iran derived based on deep learning convolutional neural networks.•15% of the entire country is highly to very highly…”
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Development of novel hybridized models for urban flood susceptibility mapping by Rahmati, Omid, Darabi, Hamid, Panahi, Mahdi, Kalantari, Zahra, Naghibi, Seyed Amir, Ferreira, Carla Sofia Santos, Kornejady, Aiding, Karimidastenaei, Zahra, Mohammadi, Farnoush, Stefanidis, Stefanos, Tien Bui, Dieu, Haghighi, Ali Torabi

“…Floods in urban environments often result in loss of life and destruction of property, with many negative socio-economic effects. However, the application of…”
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Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility by Chen, Wei, Panahi, Mahdi, Tsangaratos, Paraskevas, Shahabi, Himan, Ilia, Ioanna, Panahi, Somayeh, Li, Shaojun, Jaafari, Abolfazl, Ahmad, Baharin Bin

“…The main objective of the present study was to produce a novel ensemble data mining technique that involves an adaptive neuro-fuzzy inference system (ANFIS)…”
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Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods by Bui, Dieu Tien, Panahi, Mahdi, Shahabi, Himan, Singh, Vijay P., Shirzadi, Ataollah, Chapi, Kamran, Khosravi, Khabat, Chen, Wei, Panahi, Somayeh, Li, Shaojun, Ahmad, Baharin Bin

“…Adaptive neuro-fuzzy inference system (ANFIS) includes two novel GIS-based ensemble artificial intelligence approaches called imperialistic competitive…”
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Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms by Tien Bui, Dieu, Shahabi, Himan, Shirzadi, Ataollah, Chapi, Kamran, Pradhan, Biswajeet, Chen, Wei, Khosravi, Khabat, Panahi, Mahdi, Bin Ahmad, Baharin, Saro, Lee

“…In this study, land subsidence susceptibility was assessed for a study area in South Korea by using four machine learning models including Bayesian Logistic…”
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The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers by Moghaddam, Davoud Davoudi, Rahmati, Omid, Panahi, Mahdi, Tiefenbacher, John, Darabi, Hamid, Haghizadeh, Ali, Haghighi, Ali Torabi, Nalivan, Omid Asadi, Tien Bui, Dieu

“…•RF and ANFIS-ICA models were less sensitive to reductions of sample size.•The RF outperformed other models in terms of goodness-of-fit and predictive…”
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Mapping of Post-Wildfire Burned Area Using a Hybrid Algorithm and Satellite Data: The Case of the Camp Fire Wildfire in California, USA by Syifa, Mutiara, Panahi, Mahdi, Lee, Chang-Wook

“…On November 8, 2018, a devastating wildfire, known as the Camp Fire wildfire, was reported in Butte County, California, USA. Approximately 88 fatalities…”
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A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran) by Tien Bui, Dieu, Shirzadi, Ataollah, Shahabi, Himan, Chapi, Kamran, Omidavr, Ebrahim, Pham, Binh Thai, Talebpour Asl, Dawood, Khaledian, Hossein, Pradhan, Biswajeet, Panahi, Mahdi, Bin Ahmad, Baharin, Rahmani, Hosein, Gróf, Gyula, Lee, Saro

“…In this study, we introduced a novel hybrid artificial intelligence approach of rotation forest (RF) as a Meta/ensemble classifier based on alternating…”
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Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia by Tien Bui, Dieu, Shahabi, Himan, Shirzadi, Ataollah, Chapi, Kamran, Alizadeh, Mohsen, Chen, Wei, Mohammadi, Ayub, Ahmad, Baharin, Panahi, Mahdi, Hong, Haoyuan, Tian, Yingying

“…Since landslide detection using the combination of AIRSAR data and GIS-based susceptibility mapping has been rarely conducted in tropical environments, the aim…”
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New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling by Tien Bui, Dieu, Khosravi, Khabat, Li, Shaojun, Shahabi, Himan, Panahi, Mahdi, Singh, Vijay, Chapi, Kamran, Shirzadi, Ataollah, Panahi, Somayeh, Chen, Wei, Bin Ahmad, Baharin

“…This study presents three new hybrid artificial intelligence optimization models—namely, adaptive neuro-fuzzy inference system (ANFIS) with cultural…”
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Risk assessment of confined unreinforced masonry buildings based on FEMA P-58 methodology: a case study—school buildings in Tehran by Yekrangnia, Mohammad, Bakhshi, Ali, Ghannad, Mohammad Ali, Panahi, Mahdi

“…Seismic performance of a representative single-story confined unreinforced masonry school building in Tehran, Iran is evaluated by means of incremental dynamic…”
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Hybrids of Support Vector Regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility by Liu, Ru, Peng, Jianbing, Leng, Yanqiu, Lee, Saro, Panahi, Mahdi, Chen, Wei, Zhao, Xia

“…Landslides are one of the most frequent and important natural disasters in the world. The purpose of this study is to evaluate the landslide susceptibility in…”
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Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) by Chen, Wei, Hong, Haoyuan, Panahi, Mahdi, Shahabi, Himan, Wang, Yi, Shirzadi, Ataollah, Pirasteh, Saied, Alesheikh, Ali Asghar, Khosravi, Khabat, Panahi, Somayeh, Rezaie, Fatemeh, Li, Shaojun, Jaafari, Abolfazl, Bui, Dieu Tien, Bin Ahmad, Baharin

“…The most dangerous landslide disasters always cause serious economic losses and human deaths. The contribution of this work is to present an integrated…”
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A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides by Tien Bui, Dieu, Shahabi, Himan, Shirzadi, Ataollah, Chapi, Kamran, Hoang, Nhat-Duc, Pham, Binh, Bui, Quang-Thanh, Tran, Chuyen-Trung, Panahi, Mahdi, Bin Ahmad, Baharin, Saro, Lee

“…This research aims at proposing a new artificial intelligence approach (namely RVM-ICA) which is based on the Relevance Vector Machine (RVM) and the…”
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Spatial modeling of geogenic indoor radon distribution in Chungcheongnam-do, South Korea using enhanced machine learning algorithms by Rezaie, Fatemeh, Panahi, Mahdi, Bateni, Sayed M., Kim, Seonhong, Lee, Jongchun, Lee, Jungsub, Yoo, Juhee, Kim, Hyesu, Won Kim, Sung, Lee, Saro

“…[Display omitted] •Three novel machine learning models were developed to generate radon potential map.•Soil properties and local geology significantly affected…”
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Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea by Hakim, Wahyu Luqmanul, Nur, Arip Syaripudin, Rezaie, Fatemeh, Panahi, Mahdi, Lee, Chang-Wook, Lee, Saro

“…The study area was the Anseong-si area that located in the southernmost part of Gyeonggi-do Province at 127°19′ E, 36°82′ N. Anseong has a transitional climate…”
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Author Correction: Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods by Bui, Dieu Tien, Panahi, Mahdi, Shahabi, Himan, Singh, Vijay P., Shirzadi, Ataollah, Chapi, Kamran, Khosravi, Khabat, Chen, Wei, Panahi, Somayeh, Li, Shaojun, Ahmad, Baharin Bin

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Mapping of Groundwater Productivity in Entire South Korea using Probabilistic Model by Lee, Saro, Mahdi, Panahi

“…In this study, the correlation between specific capacity (SPC) and transmissivity (T) values of groundwater and various geological, topographical, soil,…”
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Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine by Pourghasemi, Hamid Reza, Amiri, Mahdis, Edalat, Mohsen, Ahrari, Amir Hossein, Panahi, Mahdi, Sadhasivam, Nitheshnirmal, Lee, Saro

“…Acute hydrological natural hazards, such as floods, not only affect the lives and properties of people but also cause severe damage to the critical…”
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Mapping Post-Earthquake Landslide Susceptibility Using U-Net, VGG-16, VGG-19, and Metaheuristic Algorithms by Shafapourtehrany, Mahyat, Rezaie, Fatemeh, Jun, Changhyun, Heggy, Essam, Bateni, Sayed M., Panahi, Mahdi, Özener, Haluk, Shabani, Farzin, Moeini, Hamidreza

“…Landslides are among the most frequent secondary disasters caused by earthquakes in areas prone to seismic activity. Given the necessity of assessing the…”
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