Eskil Gjerde
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View article: Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon
Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon Open
The first-of-its-kind use of the active learning (AL) framework in thermal spray is adapted to enhance the prediction accuracy of the in-flight particle characteristics. The successful AL framework implementation via Bayesian Optimisation …
View article: Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon
Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon Open
In this study, the first-of-its-kind use of active learning (AL) framework in thermal spray is adapted to improve the prediction accuracy of the in-flight particle characteristics and uses Gaussian Process (GP) ML model as a surrogate that…