An End-to-End Smart Radio Log Anomaly Detection Architecture for 5G/6G Networks

Keyphrases

• Comprehensive Anomalies 50%
• Continuous Training 50%
• Feedback Integration 50%
• Lightweight LSTM 50%
• Log Anomaly Detection 100%
• LSTM Autoencoder 50%
• Model Relevance 50%
• Monitoring Mechanism 50%
• Support Operators 50%
• Unsupervised Setting 50%

Computer Science

• Relevance Model 25%
• Support Operator 25%