Abstract: Linear filtering or convolution operations can be computationally expensive, especially in low-resource environments, high data rate applications, or scenarios involving large datasets. In ...
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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