From NumPy to PyTorch, Top Python Libraries Are Shaping Data Science in 2026: Are You Using the Right Frameworks to Stay Ahead in This Fast-Changing Field? NumPy and Pandas form the core of data ...

Sorting through college basketball statistics is oftentimes far too overwhelming for any one fan trying to find answers heading into March Madness. Texas Tech has drawn an interesting first-round ...

Abstract: Intrusion Detection Systems (IDS) are essential in identifying and reporting potential network attacks. IDS are classified into Host-based IDS (HIDS), which monitor internal computer threats ...

Python is one of the most popular programming languages in the world today, with millions of developers using it for web development, data science, machine learning, automation, and more. If you’ve ...

ABSTRACT: In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, ...

# International endpoint key export DASHSCOPE_API_KEY="sk-..." Qwen3-ASR-Toolkit turns Qwen3-ASR-Flash into a practical long-audio pipeline by combining VAD-based segmentation, FFmpeg normalization ...

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...

This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...

Oak Ridge National Laboratory’s Peregrine software, used to monitor and analyze parts created through powder bed additive manufacturing, has released its most advanced dataset to date. In its ongoing ...

In this project, you will utilize Python to analyze data from bike-sharing systems in three major U.S. cities: Chicago, New York City, and Washington, D.C. Your task is to write code that loads the ...