Abstract: The exponential growth of digital imagery necessitates advanced compression techniques that balance storage efficiency, transmission speed, and image quality. This paper presents an embedded ...
Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.
A summary of the announcements made by vendors in the days leading up to the RSAC 2026 Conference. As hundreds of vendors ...
Abstract: Introducing a smart waste management system using Machine Learning (ML) on waste management is a novel idea in waste management. This particular system employs the Internet of Things (IoT), ...
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