Abstract: This paper intends to create a deep-learning architecture for training models over various defective tyre images until it has achieved intelligence to distinctly classify multi-class tyre ...
Abstract: We propose a novel deep learning-based anomaly detection (AD) system that combines a pixelwise classification network with conditional normalizing flow (CNF) networks by sharing feature ...
Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...
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