The paper, titled “Benchmarking Point Cloud Feature Extraction with Smooth Overlap of Atomic Positions (SOAP): A Pixel-Wise Approach for MNIST Handwritten Data”, has been published in AppliedMath.

The paper, titled “Benchmarking Point Cloud Feature Extraction with Smooth Overlap of Atomic Positions (SOAP): A Pixel-Wise Approach for MNIST Handwritten Data”, has been published in AppliedMath.

Eiaki V. Morooka, Yuto Omae, Mika Hämäläinen, Hirotaka Takahashi, “Benchmarking Point Cloud Feature Extraction with Smooth Overlap of Atomic Positions (SOAP): A Pixel-Wise Approach for MNIST Handwritten Data”, AppliedMath, Vol.5, No.2, 72 (2025).
doi:10.3390/appliedmath5020072