Abstract: We propose a novel two-staged segmented learning framework to enhance network traffic classification (NTC) for 5G and beyond (B5G)-driven enhanced mobile broadband (eMBB) applications, ...
Abstract: This research explores the application of machine learning techniques in recommending personalized cancer treatments, comparing supervised learning and reinforcement learning approaches. By ...
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