Detecting voids in 3D printing using melt pool time series data
Author:
Funder
SFI
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-020-01694-8.pdf
Reference24 articles.
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3. Aumüller, M. , Bernhardsson, E., & Faithfull, A. (2017). Ann-benchmarks: A benchmarking tool for approximate nearest neighbor algorithms. In International conference on similarity search and applications, (pp. 34–49). Springer
4. Bagnall, A., Lines, J., Bostrom, A., Large, J., & Keogh, E. (2017). The great time series classification bake off: A review and experimental evaluation of recent algorithmic advances. Data Mining and Knowledge Discovery, 31(3), 606–660.
5. Bernhardsson, E. (2016). Annoy. https://github.com/spotify/annoy
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