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Found 2 papers, 1 papers with code
Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing
This work aims to bring attention to the benefits of applying BO in designing experiments and to provide a BO manual, covering both methodology and software, for the convenience of anyone who wants to apply or learn BO.
An Evaluation of Classification Methods for 3D Printing Time-Series Data
Additive Manufacturing presents a great application area for Machine Learning because of the vast volume of data generated and the potential to mine this data to control outcomes.
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