TARGETING PROTEIN-PROTEIN INTERACTION INTERFACES IN COVID-19 DRUG DISCOVERY




A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis

Intrusion detection (ID) is critical in securing computer networks against various malicious attacks.Recent advancements in machine learning (ML), deep learning (DL), federated learning (FL), and explainable artificial intelligence (XAI) have drawn significant attention as potential approaches for ID.DL-based approaches have shown impressive perfor

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