To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min The company is the 16th largest ...

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AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...

ABSTRACT: The purpose of this study was to establish the mediating role of job satisfaction (JS) in the relationship between job involvement (JI) and psychological well-being (PWB). A cross-sectional ...

Donald Trump and AI executives alike have sounded the alarm about a looming AI-driven energy shortage. Both benefit from the concern. The site has become a reservoir of humanity on the web. Now it, ...

Abstract: This tutorial aims to provide an intuitive introduction to Gaussian process regression (GPR). GPR models have been widely used in machine learning applications due to their representation ...

Effective pre-implementation planning is critical for successful adoption of intelligent process automation (IPA). The comprehensive IPA pre-implementation framework outlined in this document provides ...

Nuclear imaging for industrial process analysis and non-destructive component testing has been around for longtime, but progression and innovation in this field has been limited and not as advanced ...

Real-time and in-line accurate measuring of protein (monoclonal antibody, or mAb) concentration has been shown across a wide dynamic range (0–135 g/L) through the ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...