Abstract: The complex manufacturing processes are characterized by strong nonlinearity, high dynamics, and multimodality, which make it difficult to effectively monitor production safety and product ...
Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
Abstract: The advancement of skin cancer detection has greatly benefited from the integration of spatial attention-driven transfer learning and autoencoder-decoder fusion techniques. Transfer learning ...
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