Year |
Citation |
Score |
2020 |
Meng Y, Rajagopal M, Kuntumalla G, Toro R, Zhao H, Chang HC, Sundar S, Salapaka S, Miljkovic N, Ferreira P, Sinha S, Shao C. Multi-objective optimization of peel and shear strengths in ultrasonic metal welding using machine learning-based response surface methodology. Mathematical Biosciences and Engineering : Mbe. 17: 7411-7427. PMID 33378903 DOI: 10.3934/mbe.2020379 |
0.307 |
|
2020 |
Wen B, Chen S, Shao C. Temporal action proposal for online driver action monitoring using Dilated Convolutional Temporal Prediction Network Computers in Industry. 121: 103255. DOI: 10.1016/J.Compind.2020.103255 |
0.359 |
|
2019 |
Shao C, Wang H, Suriano-Puchala S, Hu SJ. Engineering fusion spatial modeling to enable areal measurement system analysis for optical surface metrology Measurement. 136: 163-172. DOI: 10.1016/J.Measurement.2018.12.061 |
0.308 |
|
2019 |
Yang Y, Zhang Y, Cai YD, Lu Q, Koric S, Shao C. Hierarchical measurement strategy for cost-effective interpolation of spatiotemporal data in manufacturing Journal of Manufacturing Systems. 53: 159-168. DOI: 10.1016/J.Jmsy.2019.09.009 |
0.432 |
|
2019 |
Zerehsaz Y, Shao C, Jin J. Tool wear monitoring in ultrasonic welding using high-order decomposition Journal of Intelligent Manufacturing. 30: 657-669. DOI: 10.1007/S10845-016-1272-4 |
0.526 |
|
2018 |
Meng Y, Yang Y, Chung H, Lee PH, Shao C. Enhancing sustainability and energy efficiency in smart factories: A review Sustainability. 10: 4779. DOI: 10.3390/Su10124779 |
0.322 |
|
2018 |
Xu K, Feng Z, Wu H, Li F, Shao C. Investigating the influence of rail grinding on stability, vibration, and ride comfort of high-speed EMUs using multi-body dynamics modelling Vehicle System Dynamics. 57: 1621-1642. DOI: 10.1080/00423114.2018.1539234 |
0.3 |
|
2018 |
Nong L, Shao C, Kim TH, Hu SJ. Improving process robustness in ultrasonic metal welding of lithium-ion batteries Journal of Manufacturing Systems. 48: 45-54. DOI: 10.1016/J.Jmsy.2018.04.014 |
0.478 |
|
2018 |
Shireen T, Shao C, Wang H, Li J, Zhang X, Li M. Iterative multi-task learning for time-series modeling of solar panel PV outputs Applied Energy. 212: 654-662. DOI: 10.1016/J.Apenergy.2017.12.058 |
0.311 |
|
2018 |
Lee PH, Kim JS, Lee SW, Shao C, Chung H. Experimental investigation on a hybrid manufacturing process of micro-scale mold for biomimetic intestinal villi’s scaffold Journal of Mechanical Science and Technology. 32: 4283-4289. DOI: 10.1007/S12206-018-0826-0 |
0.399 |
|
2017 |
Khan HA, Li J, Shao C. Analyses of Friction Stir Riveting Processes: A Review Journal of Manufacturing Science and Engineering-Transactions of the Asme. 139: 90801. DOI: 10.1115/1.4036909 |
0.307 |
|
2017 |
Shao C, Ren J, Wang H, Jin J, Hu SJ. Improving Machined Surface Shape Prediction by Integrating Multi-Task Learning With Cutting Force Variation Modeling Journal of Manufacturing Science and Engineering, Transactions of the Asme. 139. DOI: 10.1115/1.4034592 |
0.399 |
|
2016 |
Shao C, Kim TH, Hu SJ, Jin J, Abell JA, Spicer JP. Tool Wear Monitoring for Ultrasonic Metal Welding of Lithium-Ion Batteries Journal of Manufacturing Science and Engineering, Transactions of the Asme. 138. DOI: 10.1115/1.4031677 |
0.406 |
|
2016 |
Guo W, Shao C, Kim TH, Hu SJ, Jin J, Spicer JP, Wang H. Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods Journal of Manufacturing Systems. 38: 141-150. DOI: 10.1016/J.Jmsy.2016.01.001 |
0.651 |
|
2015 |
Suriano S, Wang H, Shao C, Hu SJ, Sekhar P. Progressive measurement and monitoring for multi-resolution data in surface manufacturing considering spatial and cross correlations Iie Transactions. 47: 1033-1052. DOI: 10.1080/0740817X.2014.998389 |
0.378 |
|
2014 |
Lee SS, Shao C, Kim TH, Hu SJ, Kannatey-Asibu E, Cai WW, Spicer JP, Abell JA. Characterization of ultrasonic metal welding by correlating online sensor signals with weld attributes Asme 2014 International Manufacturing Science and Engineering Conference, Msec 2014 Collocated With the Jsme 2014 International Conference On Materials and Processing and the 42nd North American Manufacturing Research Conference. 2. DOI: 10.1115/1.4028059 |
0.518 |
|
2013 |
Shao C, Paynabar K, Kim TH, Jin J, Hu SJ, Spicer JP, Wang H, Abell JA. Feature selection for manufacturing process monitoring using cross-validation Transactions of the North American Manufacturing Research Institution of Sme. 41: 442-448. DOI: 10.1016/J.Jmsy.2013.05.006 |
0.64 |
|
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