Convolutional neural networks for automatic virtual metrology YM Hsieh, TJ Wang, CY Lin, LH Peng, FT Cheng, SY Shang IEEE Robotics and Automation Letters 6 (3), 5720-5727, 2021 | 18 | 2021 |
A Novel Performance Prediction Model for the Machining Process Based on the Interval Type‐2 Fuzzy Neural Network W Tian, F Zhao, Z Sun, S Shang, X Mei, G Chen Mathematical Problems in Engineering 2020 (1), 5740362, 2020 | 6 | 2020 |
Roughness prediction of end milling surface for behavior mapping of digital twined machine tools S Shang, G Jiang, Z Sun, W Tian, D Zhang, J Xu, CF Cheung Digital Twin 3 (4), 4, 2024 | 4 | 2024 |
Researches on the pyrolyzing strength of gelcasting Al2O3‐based ceramic molds for double‐wall blade Y Chen, Z Lu, K Miao, S Shang, G Liu, D Li Journal of the American Ceramic Society 102 (12), 7564-7574, 2019 | 4 | 2019 |
Explainable prediction of surface roughness in multi-jet polishing based on ensemble regression and differential evolution method Y Wang, Z He, S Xie, R Wang, Z Zhang, S Liu, S Shang, P Zheng, C Wang Expert Systems with Applications 249, 123578, 2024 | 2 | 2024 |
Surface Roughness Prediction in Ultra-Precision Milling: An Extreme Learning Machine Method with Data Fusion S Shang, C Wang, X Liang, CF Cheung, P Zheng Micromachines 14 (11), 2023 | 2 | 2023 |
A novel bionic decision-making mechanism for digital twin-based manufacturing system S Liu, P Zheng, S Shang Manufacturing Letters 35, 127-131, 2023 | 1 | 2023 |
An extreme learning machine method with data fusion for surface roughness prediction in ultra-precision milling process S Shang, C Wang, X Liang, CF Cheung, P Zheng 8th Asia Pacific Conference on Optics Manufacture, APCOM 2023 and 3rd …, 2023 | | 2023 |
Design and Implementation of Industrial Sewing Machine Condition Monitoring and Analysis Software Based on Cloud Technology (in Chinese) SS Jinghua Qiu, Tong Ma, Fei Zhao, Xuesong Mei Manufacturing Automation, 13-18+84, 2021 | | 2021 |