This project implements a zero-day attack detection system that identifies previously unknown attacks by analyzing system behavior, network patterns, and application activities. It uses unsupervised ...
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Abstract: This study presents a novel framework integrating Variational Autoencoders (VAE) and Particle Swarm Optimization (PSO) to enhance predictive maintenance in consumer electronics and ...
The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in unsupervised ...
Tesla has started hyping its upcoming ‘unsupervised full self-driving’ launch in Austin in June. Let’s cut through the hype. Here’s what Tesla will actually launch. CEO Elon Musk has been talking ...
ABSTRACT: With the rise of digital transactions, e-Wallets have become prime targets for fraudulent activity. Early detection of suspicious transactions is therefore crucial to protect users and ...
1 School of Data Sciences, Zhejiang University of Finance and Economics, Hangzhou, China 2 Department of Emergency, First Hospital of Shanxi Medical University, Taiyuan, China Background: In the past ...
Abstract: In low-altitude airspace surveillance, distinguishing between birds and drones is crucial due to their overlapping radar signatures. Radar, the preferred technology for long-range ...
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