Mays Qasim Jebur Al-Zaidawi

Advanced Deep Learning Models for Improved IoT Network Monitoring Using Hybrid Optimization and MCDM Techniques

Mays Qasim Jebur Al-Zaidawi, Mesut Çevik

This study addresses the challenge of optimizing deep learning models for IoT network monitoring, focusing on achieving a symmetrical balance between scalability and computational efficiency, which is essential for real-time anomaly detection in dynamic networks. We propose two n…Read more