The rapid growth of the Internet and the increasing reliance on digital systems have significantly expanded the global digital footprint, creating new challenges for cybersecurity. Artificial ...
New outdoor gunshot detection sensor developed using machine-learning techniques and combining acoustic and infrared sensing for advanced accuracy and earlier threat awareness SDS Perimeter combines ...
ABSTRACT: The rapid advancement of autonomous agentic systems (AAS) has revolutionized critical sectors such as healthcare, finance, defense, and cybersecurity. However, their integration into these ...
This project implements an Intrusion Detection System using machine learning algorithms to detect malicious network activities. It analyzes network traffic patterns, packet headers, and flow data to ...
Abstract: Distributed Intrusion Detection Systems (DIDS) in resource-constrained edge environments have become increasingly important due to the development of the Industrial Internet of Things (IIoT) ...
What if technology could bridge the gap between spoken language and sign language, empowering millions of people to communicate more seamlessly? With advancements in deep learning, this vision is no ...
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