Predictive Alarm Analytics
Predictive Alarm Analytics is a computational methodology within alarm management that employs advanced data analytics and machine learning techniques to forecast potential alarm floods and abnormal situations before they occur, thereby enabling proactive operational responses.
5
Publications
362
Citations
14
Authors
8
Institutions
Publications per year
2017–2026
2
Parents
5
Learning to predict rare events in event sequences
Gary M. Weiss, Haym Hirsh · 1998 · 213 citations
IoT Monitoring and Prediction Modeling of Honeybee Activity with Alarm
Nebojša Andrijević, Vlada Urošević, Branko Arsić et al. · Electronics · 2022 · 39 citations · Full text
Alarm prediction in large-scale sensor networks — A case study in railroad
Hongfei Li, Buyue Qian, Dhaivat Parikh et al. · 2013 · 19 citations
1–5 of 5
14
2
h-index
1
h-index
1
h-index
Norwegian University of Science and Technology, Norway
1 publications · 27 citations
1
h-index
1
h-index
1–5 of 14
8
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
3 publications
490 citations
AT&T (United States)
Bedminster, United States
2 h-index
2 publications
277 citations

University of Novi Sad
Novi Sad, Serbia
1 h-index
1 publications
39 citations
Norwegian University of Science and Technology
Trondheim, Norway
1 h-index
2 publications
54 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
1 h-index
3 publications
57 citations

University of Kragujevac
Kragujevac, Serbia
1 h-index
3 publications
117 citations
IBM (United States)
Armonk, United States
1 h-index
3 publications
57 citations

University of Bologna
Bologna, Italy
1 h-index
2 publications
54 citations
1–8 of 8
1 publications · 39 citations
1
h-index
1 publications · 27 citations
1
h-index
1 publications · 10 citations
1–3