SANTA CLARA, CA - November 13, 2025 - - As machine learning (ML) systems become increasingly central to industries worldwide, ...
Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
“I'm not sure if I'm more upset that they were allowed to go alone or the fact I was told the dad would be taking them and then [they] went alone," the mom said Toria Sheffield joined the PEOPLE ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Abstract: Cell-free massive multiple-input multiple-output (CF-mMIMO) surmounts conventional cellular network limitations in terms of coverage, capacity, and interference management. This paper aims ...
Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...
Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...
Department of Information Systems, College of Computer Science and Engineering, Taibah University, Madinah, Saudi Arabia. Therefore, further exploration is vital to discover a complete set of risk ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now It’s here: OpenAI has announced the release ...
Abstract: Unsupervised skeleton-based action recognition has achieved remarkable progress recently. Existing unsupervised learning methods suffer from severe overfitting problem, and thus small ...
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