Abstract: Many studies have achieved excellent performance in analyzing graph-structured data. However, learning graph-level representations for graph classification is still a challenging task.
Segment blood vessels in retinal fundus images with a PyTorch U-Net (pretrained ResNet34 encoder), a 2-channel CLAHE + Frangi input, trained and evaluated on the DRIVE dataset, and served through a ...
Abstract: Accurate state of health (SOH) estimation for lithium-ion batteries remains challenging due to the nonlinear and nonstationary nature of degradation processes, which often involve local ...
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