A review of artificial intelligent methods for machined surface roughness prediction
H Yang, H Zheng, T Zhang - Tribology International, 2024 - Elsevier
With the increasing demand for ultra-precision machining parts in the industrial field, surface
roughness, as a key quality indicator, faces dual challenges of precision and speed in …
roughness, as a key quality indicator, faces dual challenges of precision and speed in …
CoDC: Accurate Learning with Noisy Labels via Disagreement and Consistency
Y Dong, J Li, Z Wang, W Jia - Biomimetics, 2024 - mdpi.com
Inspired by the biological nervous system, deep neural networks (DNNs) are able to achieve
remarkable performance in various tasks. However, they struggle to handle label noise …
remarkable performance in various tasks. However, they struggle to handle label noise …
Predicting Surface Roughness in Turning Complex-Structured Workpieces Using Vibration-Signal-Based Gaussian Process Regression
J Chen, J Lin, M Zhang, Q Lin - Sensors, 2024 - mdpi.com
Surface roughness prediction is a pivotal aspect of the manufacturing industry, as it directly
influences product quality and process optimization. This study introduces a predictive …
influences product quality and process optimization. This study introduces a predictive …