Python physics explained: tides and their mathematical model. Learn how tidal forces work and how to model them step-by-step in Python using clean math, simple assumptions, and clear visual intuition.

1 Department of Pathology, Nihon University School of Dentistry at Matsudo, Chiba, Japan. 2 Department of Oral Pathology, Nihon University Graduate School Dentistry at Matsudo, Chiba, Japan. The ...

Abstract: This article investigates a novel robust Kalman filter (RKF) by incorporating kernel density estimation (KDE) in the Kalman filtering framework to address the disturbance of measurement ...

Purpose: 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 ...

Formation density can reflect the pressure state and fluid migration of the reservoir, which is crucial for the re-development of depleted reservoirs. Although various prediction models have been ...

--lineage=NAME Specify lineage (optional) --outputdir=DIR Output directory (default: creates folder next to input file) --density-xlim=N Density plot X-axis limit (default: 1400) --neighbor-xlim=N ...

Add a description, image, and links to the kernel-density-estimation topic page so that developers can more easily learn about it.

Abstract: In manufacturing and logistics, various applications exploiting IoT devices are started to be used. Although there is a demand for wireless connection between the IoT devices to networks, ...