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Failure-averse Active Learning for Physics-constrained Systems
Active learning is a subfield of machine learning that is devised for design and modeling of systems with highly expensive sampling costs.
Partitioned Active Learning for Heterogeneous Systems
Active learning is a subfield of machine learning that focuses on improving the data collection efficiency of expensive-to-evaluate systems.
Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly
Developing machine learning enabled smart manufacturing is promising for composite structures assembly process.
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