This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques ...

Abstract: Multivariate time series forecasting estimates future development by capturing variable relationships and constructing temporal regular, which is widely used in many scenarios, including ...

The Politecnico di Milano, coordinator of the WORLD—Waste Oils RecycLe and Development project, proposes an innovative, ...

Abstract: Multivariate Time Series Forecasting (MTSF) is a critical task in various domains, and Large Language Models (LLMs) for MTSF have recently received considerable attention. Despite ...

The behavior of water at hydrophobic interfaces has perplexed scientists for over a century, spanning chemistry, biology, ...

This is a translation of the MEMD (Multivariate Empirical Mode Decomposition) code from Matlab to Python. The Matlab code was developed by [1] and is freely available ...

The following is a summary of "Association Between Cigarette Smoking and Subclinical Markers of Cardiovascular Harm,” ...

Course Description: Multivariate analysis is a set of techniques used for analysis of data sets that contain more than one variable, and the techniques are especially valuable when working with ...

Dr. Charles Olomofe, visiting assistant professor of Public Health, published an article titled “Tobacco Use among Blue-collar Workers in Nigeria: A Survey of Construction Artisans in Ekiti State” in ...

A two-step workflow to extract pure mass spectra from comprehensive two-dimensional liquid chromatography high-resolution ...