A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management
Additive manufacturing (AM) techniques are maturing and penetrating every aspect of the industry. With more and more design, process, structure, and property data collected, machine learning (ML) models are found to be useful to analyze the patterns in the data. The quality of datasets and the handl...
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Veröffentlicht in: | Journal of intelligent manufacturing 2023-12, Vol.34 (8), p.3305-3340 |
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Format: | Artikel |
Sprache: | eng |
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