Abstract: Distributed parameter systems (DPS) are prevalent in industrial processes; yet, traditional modeling methods are inadequate for handling varying conditions. To address this, a spatiotemporal ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Researchers combine numerical modeling with neural networks to show how nanodiamond aggregation, magnetic fields, and surface ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

This year, Neural built on that success with the Quad Cortex mini, which shrinks the device size in half, cuts the ...

Release combines AI, multiphysics simulation, and real-world digital twin technology to transform how teams explore designs, ...

Hydrological models represent water movement in natural systems, and they are important for water resource planning and ...

Q. Georgia is undergoing an energy transformation. Rising consumption, seasonal shortages, and regional geopolitical dynamics raise one key question: how ...