This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...
The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...
A global team led by Michal Holčapek, professor of analytical chemistry at the Faculty of Chemical Technology, UPCE, Pardubice (Czech Republic), and Jakub Idkowiak, a research associate from KU Leuven ...
Abstract: Statistical signal processing involves extracting information from random observations, a task that relies heavily on metrics that quantify the information present in the data. These metrics ...
Abstract: Massive multiple-input, multiple-output (mMIMO) has emerged as a key enabler for 5G and beyond wireless communications, offering the potential to meet the ever-growing demands of an ...
ABSTRACT: Recent investigations have shown that a bivariant lognormal probability density function predicts the statistical moments and correlations of adult human height and weight so extensively and ...
Introduction: The introduction of augmented reality (AR) in medical education has been demonstrated to improve learning of medical students and young clinicians. Use of AR is often linked to Head ...
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