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Adisa Samuel Ayomide

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Open access 2026

Deep Learning Models for Anomaly Detection in Autonomous Network Troubleshooting and Optimization: A Comparative Study

This work creates and tested six deep models to detect network anomalies through the NSL-KDD datasets, verifies the performance of the BiLSTM model for anomaly detection and verifies the performance of the BiLSTM model for anomaly detection.

C. Ugwunna, Joshua John, Abayomi-Alli Ayomide et al. · 0 citations

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