Fire Detector Performance Evaluation
Fire Detector Performance Evaluation is a systematic assessment methodology within fire safety engineering that quantifies the accuracy, reliability, and responsiveness of fire detection systems under controlled or real-world conditions to determine their effectiveness in identifying fire incidents.
72
Publications
4.7K
Citations
208
Authors
104
Institutions
Publications per year
2017–2026
38
Parents
72
Convolutional Neural Networks Based Fire Detection in Surveillance Videos
Khan Muhammad, Jamil Ahmad, Irfan Mehmood et al. · IEEE Access · 2018 · 543 citations · Full text
Deep Convolutional Neural Networks for Forest Fire Detection
Qingjie Zhang, Jiaolong Xu, Liang Xu et al. · 2016 · 211 citations · Full text
1–5 of 72
208
The University of Texas Health Science Center at Houston, United States
4 publications · 322 citations
4
h-index
3
h-index
National Institute of Standards and Technology, United States
2 publications · 265 citations
2
h-index
2
h-index
2
h-index
1–5 of 208
104
National Institute of Standards and Technology
Gaithersburg, United States
8 h-index
18 publications
1.3K citations

Sejong University
Seoul, South Korea
3 h-index
9 publications
2.6K citations

Gachon University
Seongnam-si, South Korea
2 h-index
6 publications
550 citations

Victoria University
Melbourne, Australia
2 h-index
4 publications
139 citations
University of Maryland, College Park
College Park, United States
2 h-index
5 publications
3.8K citations
King's College London
London, United Kingdom
2 h-index
5 publications
368 citations

Rutherford Appleton Laboratory
Didcot, United Kingdom
2 h-index
3 publications
195 citations
Jensen Hughes (United States)
Baltimore, United States
2 h-index
5 publications
239 citations
1–8 of 104
9 publications · 293 citations
8
h-index
4 publications · 1.5K citations
4
h-index
4 publications · 57 citations
4
h-index
Repository · 2 publications · 105 citations
2
h-index
2 publications · 84 citations
2
h-index
1–5