Hidden geometry explains why kernel methods separate complex data so well

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
IEEE

A Novel Recognition Method for Complex Power Quality Disturbances Based on Rotation Vector and Fuzzy Transfer Field

Abstract: Complex power quality disturbances (PQDs) is the concomitant occurrence of multiple single disturbances, which is a common disturbance in modern power system. In this article, a new plug ...
IEEE

Fast Solution of Unit Commitment Using Machine Learning Approaches

Abstract: The complexity of energy scheduling problems is increasing due to the energy transition. In recent research, Machine Learning (ML) has shown potential to contribute to the methodology for ...
Frontiers

An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning

Biological networks are often inferred through Gaussian graphical models (GGMs) using gene or protein expression data only. GGMs identify conditional dependence by estimating a precision matrix ...
Frontiers

Chemometric Methods for Spectroscopy-Based Pharmaceutical Analysis

Spectroscopy is widely used to characterize pharmaceutical products or processes, especially due to its desirable characteristics of being rapid, cheap, non-invasive ...
Scientific Research Publishing

Computational Solutions of Two Dimensional Convection Diffusion Equation Using Crank-Nicolson and Time Efficient ADI ()

Department of Mathematics, Numerical Analysis, King Abdulaziz University, Jeddah, Saudi Arabia. In this paper we have extended our previous approach associated to two dimension Convection-diffusion ...