Artificial intelligence/machine learning in manufacturing and inspection: A GE perspective-Reference-Cited by-同舟云学术

Artificial intelligence/machine learning in manufacturing and inspection: A GE perspective

Published:2019-07 Issue:7 Volume:44 Page:545-558
ISSN:0883-7694
Container-title:MRS Bulletin
language:en
Short-container-title:MRS Bull.

Author:

Aggour Kareem S.,Gupta Vipul K.,Ruscitto Daniel,Ajdelsztajn Leonardo,Bian Xiao,Brosnan Kristen H.,Chennimalai Kumar Natarajan,Dheeradhada Voramon,Hanlon Timothy,Iyer Naresh,Karandikar Jaydeep,Li Peng,Moitra Abha,Reimann Johan,Robinson Dean M.,Santamaria-Pang Alberto,Shen Chen,Soare Monica A.,Sun Changjie,Suzuki Akane,Venkataramana Raju,Vinciquerra Joseph

Abstract

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics,General Materials Science

Reference42 articles.

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