Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

A key element to this paradigm shift is the deployment of a distributed sensor network that can continuously monitor water ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

In 2026, unified security platforms and AI-driven intelligence will continue to revolutionize campus safety by enabling ...

Centralized remote monitoring is reshaping power plant operations, enabling specialized teams to oversee multiple facilities ...

Researchers from the University of Chinese Academy of Sciences and collaborating institutions have developed a novel hierarchical framework that leverages artificial intelligence (AI) to address a ...

Abstract: Model predictive control (MPC) has proven useful in enabling safe and optimal motion planning for autonomous vehicles. In this article, we investigate how to achieve MPC-based motion ...

Abstract: The development of rigorous theoretical tools, such as feasibility and stability analysis, for finite-control-set model predictive control (FCS-MPC) of electric drives, has lagged behind ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

ABSTRACT: Objective: To develop and validate a machine learning-based risk prediction model for postoperative nausea and vomiting (PONV) following gynecological day hysteroscopy, providing ...