In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Abstract: Fault diagnosis for high-dimensional industrial process data with strong nonlinear coupling remains challenging. Most existing graph convolutional network–based methods rely on static or ...
The dynamic analysis of lower limb biomechanics is crucial for understanding gait, posture, and load distribution, which are foundational for ...
Abstract: Human action recognition (HAR) has benefited significantly from the application of graph convolutional networks (GCNs), which model the topological relationships between joints. In the ...
State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing 100084, People’s Republic of China ...
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