15 citations · 31 across the 4 of their papers we have counts for
4 papers
Multi-output Extreme Spatial Model for Complex Aircraft Production Systems
Cheolhei Lee, Xing Wang, Xiaowei Yue +1
Problem definition: Data-driven models in machine learning have enabled efficient management of production systems. However, a majority of machine learning models are devoted to mo…
Failure-averse Active Learning for Physics-constrained Systems
Cheolhei Lee, Xing Wang, Jianguo Wu +1
Active learning is a subfield of machine learning that is devised for design and modeling of systems with highly expensive sampling costs. Industrial and engineering systems are ge…
Partitioned Active Learning for Heterogeneous Systems
Cheolhei Lee, Kaiwen Wang, Jianguo Wu +2
Active learning is a subfield of machine learning that focuses on improving the data collection efficiency of expensive-to-evaluate systems. Especially, active learning integrated…
Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly
Cheolhei Lee, Jianguo Wu, Wenjia Wang +1
Developing machine learning enabled smart manufacturing is promising for composite structures assembly process. To improve production quality and efficiency of the assembly process…