Accurately measuring small shifts in biological markers, like proteins and neurotransmitters, or harmful chemicals in the ...
Dartmouth researchers have developed a cell phone-based tool that monitors tissue health by using a naturally occurring ...
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 ...
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 ...
The information on this website is for general informational purposes only. While every measure has been taken to ensure the accuracy of the material, Edugraph does not guarantee the accuracy and ...