13 citations · 18 across the 6 of their papers we have counts for
4 papers · 1 filter
A Unified Hierarchical Multi-Task Multi-Fidelity Framework for Data-Efficient Surrogate Modeling in Manufacturing
Manan Mehta, Zhiqiao Dong, Yuhang Yang +1
Surrogate modeling is an essential data-driven technique for quantifying relationships between input variables and system responses in manufacturing and engineering systems. Two ma…
Physics-informed data-driven machine health monitoring for two-photon lithography
Sixian Jia, Zhiqiao Dong, Chenhui Shao
Two-photon lithography (TPL) is a sophisticated additive manufacturing technology for creating three-dimensional (3D) micro- and nano-structures. Maintaining the health of TPL syst…
Multi-Modal Data Fusion for Moisture Content Prediction in Apple Drying
Shichen Li, Chenhui Shao
Fruit drying is widely used in food manufacturing to reduce product moisture, ensure product safety, and extend product shelf life. Accurately predicting final moisture content (MC…
Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding
Ahmadreza Eslaminia, Yuquan Meng, Klara Nahrstedt +1
Ultrasonic metal welding (UMW) is a key joining technology with widespread industrial applications. Condition monitoring (CM) capabilities are critically needed in UMW applications…