3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning

3G and 4G paging success rate based mobile network anomaly detection using supervised and unsupervised learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2022.

מידע ביבליוגרפי
מחבר ראשי: Ahasan, Md Rakibul
מחברים אחרים: Alam, Md. Golam Robiul
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2022
נושאים:
Anomaly detection
Supervised learning
KPI
Mobile Networks
SMOTE
Unsupervised learning
K-Means
DBSCAN
HDBSCAN
Autoencoder
Algorithms
Computer network architectures
גישה מקוונת:http://hdl.handle.net/10361/17164

אינטרנט

http://hdl.handle.net/10361/17164

פריטים דומים