Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

We have considerable expertise in MPC as a powerful tool for providing optimal control in dynamic environments, ensuring real-time performance and adaptability. Our work includes developing predictive ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen ...

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

Adaptive learning systems in online education customize learning experiences based on individual needs, allowing students to learn at their own pace. These systems provide personalized content, ...