Abstract: Intelligent in-vehicle networks (IVNs) are increasingly exposed to complex security threats. Traditional supervised deep learning methods depend heavily on extensive labeled datasets, ...
Abstract: The rapid growth of Internet of Things (IoT) devices and the increasing difficulty of cyber-attacks highlight the need for novel, energy-efficient, and real-time Intrusion Detection Systems ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
Rohith Vegesna is a software engineer specializing in secure, cloud-connected fueling systems, with a strong focus on IoT, real-time monitoring, and cybersecurity.
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
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