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Transferability analysis of data-driven additive manufacturing knowledge: a case study between powder bed fusion and directed energy deposition
The framework consists of pre-transfer, transfer, and post-transfer steps to accomplish knowledge transfer.
Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams
This research introduces and puts into practice some of the leading deep spatiotemporal learning models that can be adapted for the classification of melt pool image streams originating from various materials, systems, and applications.
Optimal Economic Gas Turbine Dispatch with Deep Reinforcement Learning
A growing incorporation of intermittent renewable energy requires GTs to operate more but shorter cycles and more frequently on partial loads.
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