China’s microelectromechanical systems (MEMS) sensor industry is surging, but technical gaps, fragmented production and coordination challenges hinder its full potential. As global demand accelerates, ...
Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...
Abstract: Modern mechanical equipment increasingly relies on multi-sensor data for health monitoring, which generates complex, heterogeneous, non-Euclidean data that conventional methods struggle to ...
Nasha is a Managing Editor for CNET, overseeing our sleep and wellness verticals. She is a nutrition, mental health, fitness and sleep science enthusiast. Her passion for mindful and holistic ...
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