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Fire Detection and Safety Systems
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the development and application of computer vision, deep learning, and image processing techniques for real-time fire and smoke detection, particularly in the context of video surveillance, forest fire monitoring, and unmanned aerial vehicle (UAV) based systems. The research covers a wide range of methods including convolutional neural networks, statistical color models, multi-feature fusion, and IoT-based intelligent modeling for fire prevention and safety.
64
Works
IDs:OpenAlex
How has Fire Detection and Safety Systems's publication output changed over time?
ScholarIQpublication output · 1999–2024
Output grew0% over the shown period — from 1 works in 1999 to 1 in 2024.
1
1
1
1
1
1
1
2
5
1
1999200020032009201820192021202220232024
What are the most-cited papers on Fire Detection and Safety Systems?
ScholarIQmost cited works
Attention based CNN model for fire detection and localization in real-world images
Saima Majid, Fayadh Alenezi, Sarfaraz Masood, Musheer Ahmad, Emine Selda Gündüz, Kemal Polat
Expert Systems with Applications. 2021247 Citations
Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark
Hikmat Yar, Tanveer Hussain, Mohit Agarwal, Zulfiqar Ahmad Khan, Suneet Kumar Gupta, Sung Wook Baik
S4210173141. 2022110 CitationsOPEN ACCESS
Flame and smoke detection method for early real-time detection of a tunnel fire
Dongil Han, Byoungmoo Lee
S160215590. 200996 Citations
Forest fire image recognition based on convolutional neural network
Yuanbin Wang, L. Minh Dang, Jieying Ren
Journal of Algorithms & Computational Technology. 201987 CitationsOPEN ACCESS
Surface fires in Jharia coalfield, India-their distribution and estimation of area and temperature from TM data
Anupma Prakash, Rupesh Gupta
S117411352. 199985 Citations
Where is Fire Detection and Safety Systems research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S4210173141110
S16021559096
S11741135285
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Fire Detection and Safety Systems is open access?
ScholarIQopen access share
40%OPEN ACCESS
Gold
33%
Green
7%
Hybrid
0%
Bronze
0%
Closed
60%
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