Tool wear prediction based on parallel dual-channel adaptive feature fusion
J Yang, J Wu, X Li, X Qin - The International Journal of Advanced …, 2023 - Springer
The tool is a component that is easily damaged and wasted in the CNC machining process.
Accurate prediction of tool wear is conducive to reducing processing costs and improving …
Accurate prediction of tool wear is conducive to reducing processing costs and improving …
Deep reinforcement learning for image-to-image translation
Most existing Image-to-Image Translation (I2IT) methods generate images in a single run of
a deep learning (DL) model. However, designing such a single-step model is always …
a deep learning (DL) model. However, designing such a single-step model is always …
Stochastic planner-actor-critic for unsupervised deformable image registration
Large deformations of organs, caused by diverse shapes and nonlinear shape changes,
pose a significant challenge for medical image registration. Traditional registration methods …
pose a significant challenge for medical image registration. Traditional registration methods …
Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation
R Xu, J Wang, Y Li - IEEE Transactions on Emerging Topics in …, 2024 - ieeexplore.ieee.org
With more consumers opting to purchase outfits online, a challenge facing e-commerce
providers is to effectively model the compatibility of the outfits being recommended to the …
providers is to effectively model the compatibility of the outfits being recommended to the …