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RISFairness- and Uncertainty-Aware Data Generation for Data-Driven Design Based on Active Learning
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The design dataset is the backbone of data-driven design. Ideally, the dataset should be fairly distributed in both shape and property spaces to efficiently explore the underlying relationship. However, the classical ...
Human–Artificial Intelligence Teaming for Scientific Information Extraction From Data-Driven Additive Manufacturing Literature Using Large Language Models
Publisher: The American Society of Mechanical Engineers (ASME)
Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Data-driven research in additive manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature emerging. The knowledge in these works consists of AM and artificial ...