As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …

Accurate fault diagnosis of rolling bearing under variable working conditions can ensure that
the rotating machinery run in a safety, reliable and efficient way. In this paper, we propose …

Data-driven simulation (DDS) is fundamental to analytical and decision-support
technologies in Industry 4.0 and smart manufacturing. This study investigates the potential of …

While applying machine learning (ML) to semiconductor manufacturing is prevalent, an
efficient way to sample the search space has not been explored much in key processes such …

System identification methods can enable scientists and engineers to model a system for
analysis, estimation, or activity planning. Machine Learning (ML) regression algorithms are a …

As the scaling down of semiconductor manufacturing nodes, optical proximity correction
(OPC) has become more and more crucial, where the OPC using machine learning to …

Remote sensing scene classification is a hot research topic in the field of computer vision,
and it is of great significance to semantic understanding of remote sensing images. At …

While there has been significant effort in applying machine learning in semiconductor
manufacturing, an efficient way to sample the search space has not been explored much …