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 ...
Abstract: Modern industrial processes are rapidly evolving toward intelligent operation, creating new challenges for fault diagnosis in complex systems. This article presents a knowledge-data ...
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
The dynamic analysis of lower limb biomechanics is crucial for understanding gait, posture, and load distribution, which are foundational for ...
The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
Eucalyptus trees, laden with flammable oils, could spread into Portugal's south-central region by 2060 if changing climate ...
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