Adaptive Thresholds

Adaptive Thresholds is a dynamic decision-making mechanism in threshold-based alerting systems that automatically adjusts its threshold values in response to changing data patterns, environmental conditions, or operational requirements to maintain optimal sensitivity and specificity over time.

288

Publications

15.4K

Citations

917

Authors

394

Institutions

Publications per year

2017–2026

97

Authors

917

  1. MM
    Marios M. Polycarpou

    University of Cyprus, Cyprus

    12 publications · 633 citations

    12

    h-index

  2. XZ
    Xiaodong Zhang

    Wright State University, United States

    8 publications · 420 citations

    8

    h-index

  3. TP
    Thomas Parisini

    University of Trieste, Italy

    7 publications · 391 citations

    7

    h-index

  4. VR
    Vasso Reppa

    Delft University of Technology, Netherlands

    6 publications · 255 citations

    6

    h-index

  5. CG
    Christos G. Panayiotou

    University of Cyprus, Cyprus

    5 publications · 242 citations

    5

    h-index

1–5 of 917

Venues

  1. IEEE Access

    9 publications · 238 citations

    9

    h-index

  2. 6

    h-index

  3. 5

    h-index

  4. IEEE Transactions on Automatic Control

    5 publications · 515 citations

    5

    h-index

  5. IEEE Transactions on Communications

    4 publications · 137 citations

    4

    h-index

1–5