The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
Abstract: Imbalanced data classification remains a fundamental challenge in machine learning, especially in multi-class scenarios where feature noise, class overlap, and small disjunct sub-concepts ...
Abstract: Acupuncture, the core part of Traditional Chinese Medicine, relies on the accuracy of acupoint detection. But most of existing detection networks can’t achieve precise acupoint detection, ...
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