Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
 
Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review
by Henintsoa S. Andrianarivony and Moulay A. Akhloufi
 
A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection
by Eman H. Alkhammash
 
Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study
by Eman H. Alkhammash
 
Recent Developments in Hydrogen Production, Storage, and Transportation: Challenges, Opportunities, and Perspectives
by Sanjay Kumar Singh Patel, Rahul K. Gupta, M. V. Rohit and Jung-Kul Lee
 
FFYOLO: A Lightweight Forest Fire Detection Model Based on YOLOv8
by Bensheng Yun, Yanan Zheng, Zhenyu Lin and Tao Li
 
A Review of the Occurrence and Causes for Wildfires and Their Impacts on the Geoenvironment
by Arvin Farid, Md Khorshed Alam, Venkata Siva Naga Sai Goli, Idil Deniz Akin, Taiwo Akinleye, Xiaohui Chen, Qing Cheng, Peter Cleall, Sabatino Cuomo, Vito Foresta, Shangqi Ge, Luca Iervolino, Pierrette Iradukunda, Charles H. Luce, Eugeniusz Koda, Slobodan B. Mickovski, Brendan C. O’Kelly, Evan K. Paleologos, Dario Peduto, Evan John Ricketts, Mojtaba Sadegh, Theo S. Sarris, Devendra N. Singh, Prithvendra Singh, Chao-Sheng Tang, Guillermo Tardio, Magdalena Daria Vaverková, Max Veneris and Jan Winkleradd Show full author list remove Hide full author list
 
YOLO-Based Models for Smoke and Wildfire Detection in Ground and Aerial Images
by Leon Augusto Okida Gonçalves, Rafik Ghali and Moulay A. Akhloufi
 
Fire and Smoke Detection Using Fine-Tuned YOLOv8 and YOLOv7 Deep Models
by Mohamed Chetoui and Moulay A. Akhloufi
 
Advances in Detection and Monitoring of Coal Spontaneous Combustion: Techniques, Challenges, and Future Directions
by Lucica Anghelescu and Bogdan Marian Diaconu
 
Recent Advances and Emerging Directions in Fire Detection Systems Based on Machine Learning Algorithms
by Bogdan Marian Diaconu
Views Article
Lightning-Induced Wildfires: An Overview
by Yang Song, Cangsu Xu, Xiaolu Li and Francis Oppong
Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review
by Henintsoa S. Andrianarivony and Moulay A. Akhloufi
A Review of the Occurrence and Causes for Wildfires and Their Impacts on the Geoenvironment
by Arvin Farid, Md Khorshed Alam, Venkata Siva Naga Sai Goli, Idil Deniz Akin, Taiwo Akinleye, Xiaohui Chen, Qing Cheng, Peter Cleall, Sabatino Cuomo, Vito Foresta, Shangqi Ge, Luca Iervolino, Pierrette Iradukunda, Charles H. Luce, Eugeniusz Koda, Slobodan B. Mickovski, Brendan C. O’Kelly, Evan K. Paleologos, Dario Peduto, Evan John Ricketts, Mojtaba Sadegh, Theo S. Sarris, Devendra N. Singh, Prithvendra Singh, Chao-Sheng Tang, Guillermo Tardio, Magdalena Daria Vaverková, Max Veneris and Jan Winkleradd Show full author list remove Hide full author list
A Comprehensive Review on Intumescent Coatings: Formulation, Manufacturing Methods, Research Development, and Issues
by Touha Nazrun, Md Kamrul Hassan, Md Rayhan Hasnat, Md Delwar Hossain, Bulbul Ahmed and Swapan Saha
Recent Advances and Emerging Directions in Fire Detection Systems Based on Machine Learning Algorithms
by Bogdan Marian Diaconu
Fire Regimes of Utah: The Past as Prologue
by Joseph D. Birch and James A. Lutz
Fire and Smoke Detection Using Fine-Tuned YOLOv8 and YOLOv7 Deep Models
by Mohamed Chetoui and Moulay A. Akhloufi
A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection
by Eman H. Alkhammash
Recent Developments in Hydrogen Production, Storage, and Transportation: Challenges, Opportunities, and Perspectives
by Sanjay Kumar Singh Patel, Rahul K. Gupta, M. V. Rohit and Jung-Kul Lee
Safety Methods for Mitigating Thermal Runaway of Lithium-Ion Batteries—A Review
by Jun Deng, Zhen Hu, Jian Chen, Jingyu Zhao and Zujin Bai
Downloads Article
Machine Learning and Deep Learning for Wildfire Spread Prediction: A Review
by Henintsoa S. Andrianarivony and Moulay A. Akhloufi
Risk Assessment of Explosion Accidents in Hydrogen Fuel-Cell Rooms Using Experimental Investigations and Computational Fluid Dynamics Simulations
by Byoungjik Park, Yangkyun Kim and In-Ju Hwang
Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study
by Eman H. Alkhammash
A Review of the Occurrence and Causes for Wildfires and Their Impacts on the Geoenvironment
by Arvin Farid, Md Khorshed Alam, Venkata Siva Naga Sai Goli, Idil Deniz Akin, Taiwo Akinleye, Xiaohui Chen, Qing Cheng, Peter Cleall, Sabatino Cuomo, Vito Foresta, Shangqi Ge, Luca Iervolino, Pierrette Iradukunda, Charles H. Luce, Eugeniusz Koda, Slobodan B. Mickovski, Brendan C. O’Kelly, Evan K. Paleologos, Dario Peduto, Evan John Ricketts, Mojtaba Sadegh, Theo S. Sarris, Devendra N. Singh, Prithvendra Singh, Chao-Sheng Tang, Guillermo Tardio, Magdalena Daria Vaverková, Max Veneris and Jan Winkleradd Show full author list remove Hide full author list
Recent Advances and Emerging Directions in Fire Detection Systems Based on Machine Learning Algorithms
by Bogdan Marian Diaconu
Forest Fire Prediction: A Spatial Machine Learning and Neural Network Approach
by Sanjeev Sharma and Puskar Khanal
A Comprehensive Review on Intumescent Coatings: Formulation, Manufacturing Methods, Research Development, and Issues
by Touha Nazrun, Md Kamrul Hassan, Md Rayhan Hasnat, Md Delwar Hossain, Bulbul Ahmed and Swapan Saha
Wildland–Urban Interface: Definition and Physical Fire Risk Mitigation Measures, a Systematic Review
by Flavio Taccaliti, Raffaella Marzano, Tina L. Bell and Emanuele Lingua
Recent Developments in Hydrogen Production, Storage, and Transportation: Challenges, Opportunities, and Perspectives
by Sanjay Kumar Singh Patel, Rahul K. Gupta, M. V. Rohit and Jung-Kul Lee
Lightning-Induced Wildfires: An Overview
by Yang Song, Cangsu Xu, Xiaolu Li and Francis Oppong
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