Data-Efficient Dimensionality Reduction and Surrogate Modeling of High-Dimensional Stress Fields
Tensor datatypes representing field variables like stress, displacement, velocity, etc., have
increasingly become a common occurrence in data-driven modeling and analysis of …
increasingly become a common occurrence in data-driven modeling and analysis of …
Heterogeneous Transfer Learning for Design and Manufacturing Process Modeling Through Input Map** and Multi-Fidelity Gaussian Process
Data-driven modeling and optimization have become a cornerstone in several engineering
design and modeling endeavors. Data-driven modeling frameworks enable faster …
design and modeling endeavors. Data-driven modeling frameworks enable faster …