Abstract: To address the limitations of existing clustering algorithms for multivariate time series, such as weak spontaneity and poor clustering performance, this paper proposes a multivariate time ...
Abstract: In this study, a data-driven approach is used to realize accurate prediction and systematic information processing through deep learning algorithms. Combined with high-precision data ...
This project manages the attendance records of an educational institution using SQL Server. It includes creating and managing a database to track student attendance, teacher assignments, and class ...
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