False Alarm Reduction in WSN Surveillance Application through ML techniques
Author:
Affiliation:
1. ENIT,University of Tunis El Manar,Communication System Laboratory,Tunis,Tunisia,1002
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10182387/10182368/10182812.pdf?arnumber=10182812
Reference18 articles.
1. Machine Learning Technique to Prognosis Diabetes Disease: Random Forest Classifier Approach
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3. An improved random forest-based rule extraction method for breast cancer diagnosis
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1. A Deployment Strategy for UAV-Aided Data Collection in Unknown Environments;IEEE Sensors Journal;2024-08-15
2. A Survey of Video Surveillance Systems in Smart City;Electronics;2023-08-23
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