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Fire kills nearly 3,700 Americans annually and destroys $23 billion in property, with many deaths occurring because ...
Abstract: Intrusion Detection Systems (IDS) are critical to secure networks against changing cyber-attacks. This study brings improvements in IDS methods, machine learning (ML) and deep learning (DL) ...
The cybersecurity landscape has reached a tipping point. Organizations are battling a constant barrage of advanced threats—ransomware, phishing, insider attacks, and zero-day exploits—that can cripple ...
Abstract: Intrusion Detection Systems (IDS) are essential for network security, but traditional models struggle with adaptability, false positives, and inefficient feature selection. This research ...
The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...
School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China ...
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