| Evaluation of alternative labor levels to minimize average flowtime at distribution centers T Wang, M Singh, G Süer Procedia Manufacturing 39, 1482-1492, 2019 | 4 | 2019 |
| True sparse PCA for reducing the number of essential sensors in virtual metrology Y Xie, T Wang, YS Jeong, A Tosyali, MK Jeong International Journal of Production Research 62 (6), 2142-2157, 2024 | 2 | 2024 |
| Dynamic sparse PCA: a dimensional reduction method for sensor data in virtual metrology T Wang, Y Xie, YS Jeong, MK Jeong Expert Systems with Applications 251, 123995, 2024 | 1 | 2024 |
| Sparse group principal component analysis using elastic-net regularisation and its application to virtual metrology in semiconductor manufacturing G Lee, T Wang, D Kim, MK Jeong International Journal of Production Research, 1-17, 2024 | | 2024 |
| Double bagging trees with weighted sampling for predictive maintenance and management of etching equipment GT Lee, HG Lim, T Wang, G Zhang, MK Jeong Journal of Process Control 135, 103175, 2024 | | 2024 |
| Multi-source AdaBoost with cross-weight method for virtual metrology in semiconductor manufacturing T Wang, J Baek, MK Jeong, S Seo, J Choi International Journal of Production Research, 1-16, 2024 | | 2024 |
| Multi-source adaptive thresholding adaboost with application to virtual metrology Y Xie, T Wang, MK Jeong, GT Lee International Journal of Production Research, 1-16, 2024 | | 2024 |
| Sequentially Learning Method for Sparse Principal Components with Variance Maximization T Wang, Y Xie, G Lee, MK Jeong Available at SSRN 4872538, 0 | | |
Myong K (MK) JeongRutgers University在 rutgers.edu 的电子邮件经过验证
