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, ...
The intersection of gender, emotions, and artificial intelligence (AI) is a rapidly growing area of research. AI systems, now ubiquitous, are not neutral; ...
Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results