C&EN

A Simple and Scalable Kernel Density Approach for Reliable Uncertainty Quantification in Atomistic Machine Learning

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.
IEEE

Distortion-Aware Outdoor Panoramic Depth Estimation via Local–Global Fusion

Abstract: Outdoor panoramic depth estimation faces significant challenges due to the wide field of view (FoV), complex scene structures, and severe distortion encountered in such environments.
IEEE

The Density Peaks Clustering Algorithm Based on a Combination of Polynomial Kernel and EP Kernel with K-Nearest Neighbors

Abstract: To address the problem of inaccurate cluster center selection in the Density Peaks Clustering (DPC) algorithm when applied to datasets with non-uniform density distributions, this paper ...
Frontiers

Stroke rate–stroke length dynamics in elite freestyle swimming: application of kernel density estimation

Objectives: To analyse stroke rate (SR) and stroke length (SL) combinations among elite swimmers to better understand stroke strategies across all race distances of freestyle events. Design: We ...