Abstract: The study aims to optimize the classification of reception of training participants using the K-Nearest Neighbors (KNN) algorithm by finding the optimal value for the K parameter through a ...
Abstract: Effectively detecting code clones is essential for maintaining and evolving software systems. This paper introduces a novel approach that leverages minimally random kernel convolutional ...
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