Bayesian Optimization (BO) has emerged as a powerful tool to improve model performance, but its integration with ML for bond strength prediction remains underutilized. Key research directions include ...

Explore new calibration methods for automated material handling systems. Click to see how it transforms smart factories.

In this work, we propose a novel approach called AutoCIL-FMOBO (AutoCIL via Few-shot Multi-Objective Bayesian Optimization). Specifically, we design meta-learned deep kernel Gaussian process ...

To manage increasingly complex manufacturing systems, involving material flows across numerous transporters, machines, and ...

Digital twins for automated material handling systems (AMHSs) of semiconductor and display fabrication industries suffer from parameter uncertainty and discrepancy. This leads to inaccurate ...

The effectiveness of the proposed approach is demonstrated on the PETLION, a porous electrode theory-based battery simulator. Our method is also compared with the state-of-the-art BO methods that use ...