Real-time Event Detection

Real-Time Event Detection is a methodological framework within event detection that enables the immediate identification and characterization of events as they occur, distinguished by its emphasis on low-latency processing and temporal fidelity to streaming data inputs.

289

Publications

15.3K

Citations

1K

Authors

414

Institutions

Publications per year

2017–2026

119

Authors

1K

  1. RS
    Rolf Schwitter

    Macquarie University, Australia

    4 publications · 406 citations

    4

    h-index

  2. MH
    Mahmud Hasan

    Macquarie University, Australia

    4 publications · 406 citations

    4

    h-index

  3. MA
    Mehmet A. Orgun

    Macquarie University, Australia

    4 publications · 406 citations

    4

    h-index

  4. YL
    Yilu Liu

    University of Tennessee at Knoxville, United States

    4 publications · 219 citations

    4

    h-index

  5. WY
    WeiQi Yan

    National University of Singapore, Singapore

    3 publications · 86 citations

    3

    h-index

1–5 of 1K

Venues

  1. IEEE Transactions on Power Systems

    8 publications · 379 citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 139 citations

    5

    h-index

  3. Sensors

    5 publications · 176 citations

    5

    h-index

  4. Machine Vision and Applications

    4 publications · 113 citations

    4

    h-index

  5. IEEE Transactions on Smart Grid

    4 publications · 377 citations

    4

    h-index

1–5