Sensor-based Hazard Detection

Sensor-Based Hazard Detection is a methodological framework within hazard recognition that utilizes data from physical sensors to identify and characterize potential dangers in real time, distinguishing itself from observational or human-based detection approaches through its reliance on automated sensor inputs and signal processing techniques.

102

Publications

3.5K

Citations

346

Authors

135

Institutions

Publications per year

2017–2026

60

Authors

346

  1. SH
    Sang Hyun Lee

    University of Michigan, United States

    3 publications · 193 citations

    3

    h-index

  2. JR
    Jaziar Radianti

    University of Agder, Norway

    2 publications · 22 citations

    2

    h-index

  3. AA
    Alex Albert

    North Carolina State University, United States

    2 publications · 126 citations

    2

    h-index

  4. RA
    Raju Anitha

    Koneru Lakshmaiah Education Foundation, India

    2 publications · 134 citations

    2

    h-index

  5. OG
    Ole‐Christoffer Granmo

    University of Agder, Norway

    2 publications · 22 citations

    2

    h-index

1–5 of 346

Venues

  1. Sensors

    7 publications · 378 citations

    7

    h-index

  2. 3

    h-index

  3. Annals of Work Exposures and Health

    2 publications · 41 citations

    2

    h-index

  4. 2

    h-index

  5. IEEE Sensors Journal

    2 publications · 217 citations

    2

    h-index

1–5