A Dynamic Anomaly Detection Approach for Fault Detection on Fire Alarm System Based on Fuzzy-PSO-CNN Approach
- Title
- A Dynamic Anomaly Detection Approach for Fault Detection on Fire Alarm System Based on Fuzzy-PSO-CNN Approach
- Description
- International Conference on Sustainable Communication Networks and Application, ICSCNA 2023 - Proceedings pp.1124-1129
- Creator
- Kanagaraj K.; Amruthaluru U.; Selvaganesan J.; Singh Y.; Janakiraman V.; Chauhan A.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183045070&doi=10.1109%2fICSCNA58489.2023.10368601&partnerID=40&md5=544131111381aaf1ef802d93af263ea6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183045070&doi=10.1109%2fICSCNA58489.2023.10368601&partnerID=40&md5=544131111381aaf1ef802d93af263ea6</a>
- Date
- 2023-01-01
Collection
Citation
Kanagaraj K.; Amruthaluru U.; Selvaganesan J.; Singh Y.; Janakiraman V.; Chauhan A., “A Dynamic Anomaly Detection Approach for Fault Detection on Fire Alarm System Based on Fuzzy-PSO-CNN Approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10037.