Abstract: Transposing matrices is essential in various fields, including signal processing and machine learning, making efficient hardware implementations for real-time processing highly desirable.
Abstract: The conventional multiple linear regression model is limited by its inability to process high-dimensional datasets, susceptibility to multicollinearity, and challenges in modeling non-linear ...
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