Model Predictive Control (MPC) has emerged as a versatile and robust strategy in modern control engineering, enabling controllers to predict future system behaviour and optimise performance over a ...

This course covers nonparametric modeling of complex, nonlinear predictive relationships in data with categorical (classification) and numerical (regression) response variables. Supervised learning ...

The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Appa Rao Nagubandi's research advocates for autonomous predictive agents and low-latency analytics to enable real-time P&L ...

Neuropsychiatric disorders are highly prevalent worldwide, significantly impairing cognition, emotional regulation, and social functioning. However, their diagnosis still largely relies on subjective ...

Camrelizumab combined with rivoceranib and TACE in the perioperative treatment of hepatocellular carcinoma: A randomized, open-label multicenter trial. This is an ASCO Meeting Abstract from the 2025 ...