Abstract: The online recommendation of trade resources has further driven the demand for efficient recommendation algorithms, and gradient descent algorithm, as a powerful optimization tool, is widely ...
Abstract: Dynamic image degradations, including noise, blur and lighting inconsistencies, pose significant challenges in image restoration, often due to sensor limitations or adverse environmental ...
Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
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