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Wednesday, 28 November 2018 / Published in Blog

Anomaly Detection & Classification in Cellular Networks

Engineers at TTG International have released a research paper on “Anomaly detection and Classification in Cellular Networks” after many months of hard work. The publication is featured on Procedia Computer Science journal by Elsevier in Volume 140, 2018.  You can read the paper at https://www.sciencedirect.com/science/article/pii/S1877050918320015. Below is the abstract from the paper: Anomaly Detection (AD)
Anomaly Detection (AD)Anomaly detection and Classification in Cellular NetworksAnomaly Filtering (AF)KNN algorithm for data setsLSTM RNN (Recurrent Neural Network)Machine Learning for telecommunicationsMLML for OSSSupervised Machine Learning (SML)Supervision of Key Performance Indicators (KPIs) by ML

Centralized Network Performance Management, Centralized Fault & Alarm Management, Leased Line Inventory, Anomaly Detection, Configuration Management, Transmission Inventory and Planning, CEIR (Central Equipment Identity Register), Mobile Number Portability (MNP) and Power-line Monitoring.

 

 

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