Rugged hardware and no-code AI empower industrial teams to deploy intelligence where operations run. JACKSONVILE, FL, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Velasea ( a leading OEM system ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

During WEFTEC, Dave Rutowski explained how WIMS Process manager leverages industry-standard models to provide tailored dashboards and predictive insights that help wastewater facilities balance ...

Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...

Graduate Program in Environmental Sciences − PPGCA, Community University of the Chapecó Region (Unochapecó), Chapecó, SC 89809-000, Brazil Graduate Program in Technology and Innovation Management − ...

Predictive maintenance success depends on more than just data collection—it requires accurate interpretation, expert engineering input, and alignment between digital insights and real plant conditions ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study explores the development of two predictive models for the yield sooting ...

Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...

Abstract: This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of ...