Kapak Resmi

Engineering of Additive Manufacturing Features for Data-Driven Solutions Sources, Techniques, Pipelines, and Applications /

This book is a comprehensive guide to the latest developments in data-driven additive manufacturing (AM). From data mining and pre-processing to signal processing, computer vision, and more, the book covers all the essential techniques for preparing AM data. Readers willl explore the key physical an...

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Detaylı Bibliyografya
Asıl Yazarlar: Safdar, Mutahar (Yazar), Lamouche, Guy (Yazar), Paul, Padma Polash (Yazar), Wood, Gentry (Yazar), Zhao, Yaoyao Fiona (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edisyon:1st ed. 2023.
Seri Bilgileri:SpringerBriefs in Applied Sciences and Technology,
Konular:
Industrial engineering.
Production engineering.
Engineering > Data processing.
Artificial intelligence.
Machine learning.
Education.
Industrial and Production Engineering.
Data Engineering.
Artificial Intelligence.
Machine Learning.
Online Erişim:https://doi.org/10.1007/978-3-031-32154-2
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
İçindekiler:
  • Introduction
  • Feature Engineering in AM
  • Applications in Data-driven AM
  • Analyzing AM Feature Spaces
  • Challenges and Opportunities in AM Data Preparation
  • Summary.

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