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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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Détails bibliographiques
Collectivité auteur:	SpringerLink (Online service)
Autres auteurs:	Kramer, Sharlotte L.B (Éditeur intellectuel), Retzlaff, Emily (Éditeur intellectuel), Thakre, Piyush (Éditeur intellectuel), Hoefnagels, Johan (Éditeur intellectuel), Rossi, Marco (Éditeur intellectuel), Lattanzi, Attilio (Éditeur intellectuel), Hemez, François (Éditeur intellectuel), Mirshekari, Mostafa (Éditeur intellectuel), Downey, Austin (Éditeur intellectuel)
Format:	Électronique eBook
Langue:	anglais
Publié:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Édition:	1st ed. 2024.
Collection:	Conference Proceedings of the Society for Experimental Mechanics Series,
Sujets:	Industrial engineering. Production engineering. Machine learning. Artificial intelligence > Data processing. Materials > Analysis. Industrial and Production Engineering. Machine Learning. Data Science. Materials Characterization Technique.
Accès en ligne:	https://doi.org/10.1007/978-3-031-50474-7
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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