Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

However, there is still no consensus on the most effective algorithm or model. Objective: To evaluate and compare the performance of existing GDM prediction models constructed using AI algorithms and ...

Abstract: This study focuses on cooperative tracking of multiple high speed trains, an effective way to accommodate rising passenger demand now that train to train communication is mature. A novel ...

Abstract: This article proposes an online data-driven Koopman model predictive control (ODDKMPC) approach for robotic systems with unknown dynamics. Specifically, a least-squares-based automatic ...