The rapid evolution of technology is reshaping labour markets by altering skill demands and job profiles. This paper ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Abstract: Distributed machine learning provides an efficient solution for large-scale data processing through parallel computing. However, current distributed learning relies on global or local ...

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Acute sleep deprivation significantly impacts cognitive function, contributes to accidents, and increases the risk of chronic illnesses, underscoring the need for reliable and objective diagnosis. Our ...

This e-book is a comprehensive guide to designing efficient, high-performance linear motion systems, offering valuable insights into the selection and application of key components like crossed roller ...

Abstract: Pangenomics is a rapidly evolving field in bioinformatics that enables the study of genetic diversity within populations by representing multiple genomes in a unified structure. Unlike ...

This project aims to build a multi-class text classification model for consumer complaint narratives.It categorizes complaints into four classes: Credit Reporting, Debt Collection, Consumer Loan, and ...