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Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

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Multi-scale Feature Fusion Neural Network for Accurate Prediction of Drug-Target Interactionss the strength of drug-target interactions. To address these concerns, we developed a multi-scale feature fusion neural network (MSF-DTI), which leverages the potential semantic information of amino acid sequences at multiple scales, enriches the feature representation of proteins, and fuses drug an
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work in which different SPINs and national initiatives join mutually beneficial collaborations (ECQA – European Certification and Qualification Association, www978-3-642-04132-7978-3-642-04133-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Yuzhi Chen,Pengjun Zhai,Yu Fangon. For practitioners, our results may provide guidance on the order of implementation of SPs and PAs. Our dependency analysis has limitations in being derived from the text of the CMMI specification – we have no direct evidence that these dependencies are valid in practice.
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Yanan lv,Haoze Jia,Haoran Chen,Xi Chen,Guodong Sun,Hua Hanlysis. This way it is possible to document and analyze the pre-development activities. Based on our conclusions we developed lightweight concepts to systematically capture documentation from the engineers, without hindering their creativity. These concepts were incorporated in a semantic Wiki, in an
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