Tech Xplore

Will you notice this ad? New AI model predicts attention from content context

Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Mass Transit

Using a data-driven framework to reduce transit worker fatalities

Transit workers across the U.S. are facing an epidemic of violence and injury, with assaults on these essential frontline employees having tripled since 2008, according to data from the National ...
IEEE

A Variational Bayesian Inference-Based Robust Dissimilarity Analytics Model for Industrial Fault Detection

Abstract: Due to various reasons, outliers, ambient noise and missing data inevitably exist in the industrial processes, and thus the robustness is important when establishing monitoring models. In ...
IEEE

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...