AI-driven anomaly detection for wireless networks: a scalable and efficient approach using optimized kernel PCA and isolation forest
Fields of Study & Subjects
Anomaly Detection Techniques and Applications
Indoor and Outdoor Localization Technologies
Advanced Data and IoT Technologies
Publication details
- Journal / source
- Wireless Networks
- Publisher
- Springer Science and Business Media LLC
- Volume
- 32
- Issue
- 3
- Pages
- 1637–1651
- Publication date
- 17 April 2026
- Language
- EN