Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Research progress in deep learning for ceramics surface defect detection
M Zhou, T Wu, Z **a, B He, LB Kong, H Su - Measurement, 2024 - Elsevier
Because the surface defects of ceramics are widely varied, traditional machine vision
algorithms are not sufficiently effective in achieving complete modeling of defective features …
algorithms are not sufficiently effective in achieving complete modeling of defective features …
The comprehensive semantic segmentation approach for discrete feature of Si3N4 wafer microdamage
T Chen, X **a, M Mei, K Hu, H Chen, J Li, N Wu - Ceramics International, 2025 - Elsevier
Aiming at the discrete features of microdamage in Si 3 N 4 wafers, the problems with low
edge adaptation and large regional contour error exist. A comprehensive semantic …
edge adaptation and large regional contour error exist. A comprehensive semantic …
A lightweight deep learning model for real-time rectangle NdFeB surface defect detection with high accuracy on a global scale
L Huang, H Yuan, S Chen, B Zhou, Y Guo - Journal of Real-Time Image …, 2025 - Springer
To solve the problem that it is difficult to detect dynamic tiny square neodymium-iron-boron
(NdFeB) surface defects in the case of limited computing resources, this paper proposes a …
(NdFeB) surface defects in the case of limited computing resources, this paper proposes a …