The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...
Abstract: Currently, a wide array of clustering algorithms have emerged, yet many approaches rely on K-means to detect clusters. However, K-means is highly sensitive to the selection of the initial ...
Abstract: This paper proposes a dynamic multi-objective evolutionary algorithm leveraging centroid prediction and diversity enhancement to improve adaptation speed and stability in changing ...
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