Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning
Year of publication
2023
Authors
Mochi Victor H., Núñez Henrique H.L., Ribeiro Kandice S.B., Venter Giuliana S.
Organizations and authors
University of Turku
Barros Ribeiro
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Publisher
Volume
129
Issue
11-12
Pages
5643-5654
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
No
Open access of publication channel
Partially open publication channel
Self-archived
No
Other information
Fields of science
Mechanical engineering
Publication country
United Kingdom
Internationality of the publisher
International
Language
English
International co-publication
Yes
Co-publication with a company
No
DOI
10.1007/s00170-023-12658-6
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes