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Machine learning algorithms have played a fundamental role in the development of therapeutic antibodies by being trained on data sets of sequences and/or structures. However, structural data sets ...

2.2 Research methods To address the issues of fault recognition and data fusion, this study proposes a multi-source data recognition, classification, and prediction fusion algorithm based on a ...

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The design, analysis, and optimization of data structures and algorithms for use in cloud computing platforms; in particular, the development of such solutions to the constraints and requirements of ...

Software developers know of real-world constraints and new models of computation and use them to design effective algorithms and data structures. These constraints motivate the development of elegant ...