With the rapid development of digital media and entertainment industry, the importance of 3D mesh animation has become increasingly prominent.However, the traditional production methods are faced with problems such as high computational complexity and unnatural effects when dealing with complex motion.To improve the production efficiency and qualit
Herein, we propose a new deep neural network model based on invariant information clustering (IIC), proposed by Ji et al., to improve the modeling performance of the leave-one-site-out cross-validation (LOSO-CV) for a multi-source dataset.Our Extended IIC (EIIC) is a type of contrastive learning; however, unlike the original IIC, it is characterize
Human error is a significant factor contributing to occupational accidents across various industries.To address this issue, Human Reliability Analysis (HRA) techniques have emerged as valuable tools Snacks for evaluating and mitigating the risks associated with human error.These methods allow for a thorough assessment of how and why errors occur, t
In this study, we present improved fusion-bonding strength results between carbon fiber-reinforced polyetheretherketone (CFR-PEEK) and zinc-coated steel through the introduction of pre-inscribed laser surface patterns.Optimized laser welding parameters, including laser power, focal position, pitch, number of passes, and clamping pressure, are prese