Adaptive Surveillance

Adaptive Surveillance is a time-series surveillance methodology that dynamically adjusts its detection parameters in response to evolving data patterns, distinguishing itself from static or fixed-window approaches by incorporating feedback mechanisms to maintain sensitivity and specificity under non-stationary conditions.

48

Publications

3K

Citations

151

Authors

81

Institutions

Publications per year

2017–2026

6

Authors

151

  1. TA
    Tarem Ahmed

    Independent University, Bangladesh, Bangladesh

    2 publications · 24 citations

    2

    h-index

  2. CS
    Carlo S. Regazzoni

    University of Genoa, Italy

    2 publications · 23 citations

    2

    h-index

  3. RJ
    Ramesh Jain

    University of California, Irvine, United States

    2 publications · 83 citations

    2

    h-index

  4. MK
    Mohan Kankanhalli

    National University of Singapore, Singapore

    2 publications · 83 citations

    2

    h-index

  5. SA
    Supriyo Ahmed

    BRAC University, Bangladesh

    2 publications · 24 citations

    2

    h-index

1–5 of 151

Venues

  1. 2

    h-index

  2. Multimedia Tools and Applications

    2 publications · 63 citations

    2

    h-index

  3. Image and Vision Computing

    2 publications · 121 citations

    2

    h-index

  4. 2

    h-index

  5. Applied Soft Computing

    1 publications · 30 citations

    1

    h-index

1–5