Linux 6.19 is ready for deployment, while 7.0 is now in the works. This release boasts several performance boosts. The single biggest improvement is for clouds. Ring the bells, sound the trumpet, 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 ...

The stable release of Linux Kernel 6.18 was officially tagged on November 30, 2025. It’s expected to become this year’s major long-term support (LTS) kernel, something many users and distributions ...

Linux 6.17 features significant CPU improvements. It addresses the eternal Spectre and Meltdown security holes. The next release, 6.18, will be a long-term support kernel. Linus Torvalds is the first ...

They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of their ...

Kernel density estimation (KDE) and nonparametric methods form a cornerstone of contemporary statistical analysis. Unlike parametric approaches that assume a specific functional form for the ...

When Rust first made its way into the Linux kernel in late 2022 (mainline inclusion began with version 6.1), it didn’t merely introduce a new programming language, it marked a profound shift in how we ...

Why it matters: The kernel space is the core component of a computer operating system, where critical hardware management and device driver code reside in memory. If a kernel-level driver malfunctions ...

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 ...

As the global population continues to surge, cities become increasingly complex ecosystems, dense and bustling environments home to millions of people. Today, more than half of the world's population ...

ABSTRACT: The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation ...