However, NGD faces several challenges associated with gamma-ray generation and attenuation complexities. Unlike GGD, which utilizes 0.662 MeV monoenergetic γ rays from a 137 Cs source, NGD employs ...
This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how KDE plots ...
Paper 1: "Kernel Current Source Density Method", J. Potworowski, W. Jakuczun, S. Łȩski, D. K. Wójcik; Neural Comput 2012; 24 (2): 541–575, doi: https://doi.org ...
Single-molecule super-resolution microscopy (SMLM) techniques like dSTORM can reveal biological structures down to the nanometer scale. The achievable resolution is not only defined by the ...
Mean shift clustering is a centroid-based algorithm effective for unsupervised learning applications. The algorithm shifts data points towards the mean of surrounding points to form clusters. Mean ...
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