This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Abstract: Deep learning, as an important branch of machine learning, has been widely applied in computer vision, natural language processing, speech recognition, and more. However, recent studies have ...
Abstract: This paper presents a study on Dynamic Sequential Distribution Network Reconfiguration (DSDNR), which considers the sequential control of individual switches in real-time distribution ...
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