To maximize knowledge transfer and improve the data requirement for data-driven machine learning (ML) modeling, a progressive transfer learning for reduced-order modeling (p-ROM) framework is proposed ...

Data pruning is a key technique for reducing training costs and improving model performance. However, most existing methods rely on fixed pruning rates or single metrics, which are largely designed ...

Organizations increasingly need cross-functional collaboration and enterprise-wide coordination for sustained growth. ISB's ...

Learning strategies for students encompass diverse approaches and techniques aimed at optimizing the classroom learning process, enhancing comprehension, and promoting academic success. These ...