5 papers
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…
Multi-Modal Zero-Shot Prediction of Color Trajectories in Food Drying
Shichen Li, Ahmadreza Eslaminia, Chenhui Shao
Food drying is widely used to reduce moisture content, ensure safety, and extend shelf life. Color evolution of food samples is an important indicator of product quality in food dr…
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 Fusion of In-Situ Video Data and Process Parameters for Online Forecasting of Cookie Drying Readiness
Shichen Li, Chenhui Shao
Food drying is essential for food production, extending shelf life, and reducing transportation costs. Accurate real-time forecasting of drying readiness is crucial for minimizing…
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…