Image-based Hazard Detection
Image-Based Hazard Detection is a computational method that identifies and localizes hazardous chemical substances or conditions in visual data by analyzing spatial patterns, spectral signatures, or contextual cues specific to chemical hazards, distinguishing it from broader hazard detection approaches through its reliance on image-based sensory input and computer vision techniques.
39
Publications
2.6K
Citations
142
Authors
58
Institutions
Publications per year
2017–2026
18
Parents
39
Fast forest fire smoke detection using MVMNet
Yaowen Hu, Jialei Zhan, Aibin Chen et al. · Knowledge-Based Systems · 2022 · 165 citations · Full text
1–5 of 39
142
3
h-index
3
h-index
National Institute for Occupational Safety and Health, United States
2 publications · 68 citations
2
h-index
2
h-index
National Institute for Occupational Safety and Health, United States
2 publications · 68 citations
2
h-index
1–5 of 142
58
University of Missouri
Columbia, United States
3 h-index
10 publications
299 citations
Yonsei University
Seoul, South Korea
2 h-index
6 publications
1.5K citations
Curtin University
Perth, Australia
2 h-index
3 publications
471 citations
University College London
London, United Kingdom
2 h-index
2 publications
285 citations

Central South University
Changsha, China
2 h-index
13 publications
1.3K citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
7 publications
975 citations
Mississippi State University
Starkville, United States
2 h-index
2 publications
65 citations
Universidade de São Paulo
São Paulo, Brazil
2 h-index
8 publications
1.2K citations
1–8 of 58
3 publications · 66 citations
3
h-index
3 publications · 499 citations
3
h-index
2 publications · 565 citations
2
h-index
2 publications · 59 citations
2
h-index
1 publications · 30 citations
1
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1–5