Instead, cobot dynamic modeling needs to be learned through data-driven approaches, rather than analytical equation-driven modeling. In this study, we propose and evaluate three machine learning (ML) ...

Both of these factors lead to a decrease in fault diagnosis accuracy. Hence, an adaptive symmetric loss in dynamic wide-kernel residual network (AS-DWResNet) is proposed to solve the rotating ...

Non-invasive continuous physiological signal acquisition techniques have been widely applied in brain-heart dynamic assessment. However, current research on gut function primarily focuses on gut ...

Subgraph matching is a fundamental operation for many graph applications, such as graph database and graph mining. However, existing sequential algorithms have limited applicability on large graphs ...