| Data-driven dynamic bottleneck detection in complex manufacturing systems X Lai, H Shui, D Ding, J Ni Journal of Manufacturing Systems 60, 662-675, 2021 | 44 | 2021 |
| A two-layer long short-Term memory network for bottleneck prediction in multi-job manufacturing systems X Lai, H Shui, J Ni International Manufacturing Science and Engineering Conference 51371 …, 2018 | 20 | 2018 |
| Predicting future production system bottlenecks with a graph neural network approach X Lai, T Qiu, H Shui, D Ding, J Ni Journal of Manufacturing Systems 67, 201-212, 2023 | 9 | 2023 |
| Machine learning based novelty detection methods for progressive stamping process health monitoring T Qiu, X Lai, J Ni International Manufacturing Science and Engineering Conference 84263 …, 2020 | 6 | 2020 |
| Stochastic deep Koopman model for quality propagation analysis in multistage manufacturing systems Z Chen, H Maske, H Shui, D Upadhyay, M Hopka, J Cohen, X Lai, X Huan, ... Journal of Manufacturing Systems 71, 609-619, 2023 | 4 | 2023 |
| Bottleneck Prediction and Resilience Improvement for Manufacturing Systems X Lai | 2 | 2022 |
| An integrated physical-based and parameter learning method for ship energy prediction under varying operating conditions X Lai, X Jin, X Gu 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 1180 …, 2017 | 1 | 2017 |
