The increasing complexity of embedded systems within battery management necessitates robust testing methodologies that accurately reflect real-world operating ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual reviews of satellite images taking multiple months, land-use change can ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Currently deployed on 2,000+ trains, HMAX was first introduced by Hitachi Rail in 2024 as a comprehensive digital asset ...

A study shows how intelligent monitoring systems enable real-time data collection and predictive maintenance in oil drilling operations. By ...

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

Abstract: Due to the extensive computational burden of enumeration algorithm employed in finite control set model predictive control (FCS-MPC) for multilevel converters, this article proposes a ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and adaptability. It introduces a vision of self-defending systems capable of ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

Engineers from Britain implemented a novel approach to improve how robots grip and handle fragile, slippery or asymmetric objects. The breakthrough slip-prevention method shows impressive results and ...