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Analysis and Anomaly Detection in Sheet Metal Forming
Palan, Apoorva
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2023 (English)
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Place, publisher, year, edition, pages
2023. , p. 113
National Category
Computer Sciences
Identifiers
URN:
urn:nbn:se:bth-24313
OAI: oai:DiVA.org:bth-24313
DiVA, id:
diva2:1739912
External cooperation
Volvo Cars Corporation
Subject / course
DV2572 Master´s Thesis in Computer Science
Educational program
DVACS Master of Science Programme in Computer Science
Presentation
2023-01-23, BTH, Karlskrona, 12:00 (English)
Supervisors
Kusetogullari, Huseyin
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Examiners
Mendes, Emilia
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
Available from:
2023-02-28
Created:
2023-02-27
Last updated:
2023-02-28
Bibliographically approved
Open Access in DiVA
Analysis and Anomaly Detection in Sheet Metal Forming
(7075 kB)
862 downloads
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FULLTEXT02.pdf
File size
7075 kB
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d9d0b277f10efc0613a6a355be3ba2a7ccfef747e168be578cbccad71d80ef3d650692d713ffb648d31787f911fa4c25c52019cc380733d3a8014b65917f49c5
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fulltext
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application/pdf
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Department of Computer Science
On the subject
Computer Sciences
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Total: 862 downloads
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Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:bth-24313
Direct link
http://bth.diva-portal.org/smash/record.jsf?pid=diva2:1739912
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
Other style
More styles
Language
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
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de-DE
en-GB
en-US
fi-FI
nn-NO
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text
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html
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Create
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