Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 Proceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics /

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fourth volume of five from the Conference, brings together contributions...

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Bibliografiske detaljer

Institution som forfatter:	SpringerLink (Online service)
Andre forfattere:	Kramer, Sharlotte L.B (Editor), Retzlaff, Emily (Editor), Thakre, Piyush (Editor), Hoefnagels, Johan (Editor), Rossi, Marco (Editor), Lattanzi, Attilio (Editor), Hemez, François (Editor), Mirshekari, Mostafa (Editor), Downey, Austin (Editor)
Format:	Electronisk eBog
Sprog:	engelsk
Udgivet:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Udgivelse:	1st ed. 2024.
Serier:	Conference Proceedings of the Society for Experimental Mechanics Series,
Fag:	Industrial engineering. Production engineering. Machine learning. Artificial intelligence > Data processing. Materials > Analysis. Industrial and Production Engineering. Machine Learning. Data Science. Materials Characterization Technique.
Online adgang:	https://doi.org/10.1007/978-3-031-50474-7
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