0000-0002-6107-9344 Employment
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Publications (11)
- An A3C Learning Approach for Adaptive Service Function Chain Placement in Softwarized 5G Networks Save
- 6G-Enabled Attack Detection System for IoT-Driven Smart City Using Machine Learning Save
- DL-SkLSTM approach for cyber security threats detection in 5G enabled IIoT Save
- Efficient Light-weight Deep Learning Models for Drowsiness Detection Save
- FDF-HybridFS: Towards design of a failure detection framework using hybrid feature selection method for IP core networks that connect 5G core in NFV-based test environment Save
- Machine learning-enabled techniques for anomaly detection in 5G networks Save
- A deep learning framework for non-intrusive driver drowsiness detection Save
- Analysis of Network Failure Detection Using Machine Learning in 5G Core Networks Save
- Classification of Services through Feature Selection and Machine Learning in 5G Networks Save
- Improving the Classification of Network Slice Using SMOTETomek and Machine Learning Models in 5G Networks Save