Fire Detection Thresholding

Fire Detection Thresholding is a computational method in fire detection systems that distinguishes between normal and fire-related signal intensities by applying optimized threshold values to sensor or image data for the early identification of combustion events.

23

Publications

1.1K

Citations

90

Authors

37

Institutions

Publications per year

2017–2026

9

Authors

90

  1. DC
    Daiyong Cao

    China University of Mining and Technology, China

    2 publications · 45 citations

    2

    h-index

  2. XD
    Xiaomin Du

    University of Georgia, United States

    2 publications · 45 citations

    2

    h-index

  3. DS
    Dharmendra Singh

    Indian Institute of Technology Roorkee, India

    2 publications · 63 citations

    2

    h-index

  4. SB
    Sérgio Bernardes

    University of Georgia, United States

    2 publications · 45 citations

    2

    h-index

  5. JJ
    Jihun Jung

    Dong-A University, South Korea

    1 publications · 28 citations

    1

    h-index

1–5 of 90

Venues

  1. Remote Sensing

    4 publications · 169 citations

    4

    h-index

  2. 3

    h-index

  3. Fire Safety Journal

    2 publications · 302 citations

    2

    h-index

  4. Journal of Geophysics and Engineering

    1 publications · 45 citations

    1

    h-index

  5. 1

    h-index

1–5