Please wait ...
Simple search
Advanced search -
Research publications
Advanced search -
Student theses
Statistics
English
Svenska
Norsk
Jump to content
Change search
Search
Search
Only documents with full text in DiVA
Cite
Export
BibTex
CSL-JSON
CSV 1
CSV 2
CSV 3
CSV 4
CSV 5
CSV all metadata
CSV all metadata version 2
RIS
Mods
MARC-XML
ETDMS
Link to record
Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-105577
Direct link
http://ltu.diva-portal.org/smash/record.jsf?pid=diva2:1860059
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
Other style
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
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
More languages
Output format
html
text
asciidoc
rtf
html
text
asciidoc
rtf
Create
Close
Hot rolled steel surface defect detection and classification using an automatic ensemble approach
Vasan, Vinod
School of Mechanical Engineering (SMEC), Vellore Institute of Technology, Chennai, India.
Venkatesh Sridharan, Naveen
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
ORCID iD:
0000-0002-4034-8859
Sugumaran, Vaithiyanathan
School of Mechanical Engineering (SMEC), Vellore Institute of Technology, Chennai, India.
ORCID iD:
0000-0002-5323-6418
Jeyavadhanam Balasundaram, Rebecca
Department of Computer Science, York St John University, United Kingdom.
2024 (English)
In:
Engineering Research Express, E-ISSN 2631-8695, Vol. 6, no 2, article id 025544
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Institute of Physics (IOP), 2024. Vol. 6, no 2, article id 025544
Keywords [en]
ensemble learning, deep neural network, hot rolled steel surface defects, convolutional neural networks, automated defect identification
National Category
Computer graphics and computer vision
Research subject
Operation and Maintenance Engineering
Identifiers
URN:
urn:nbn:se:ltu:diva-105577
DOI:
10.1088/2631-8695/ad4a26
ISI:
001228960500001
Scopus ID:
2-s2.0-85194095338
OAI: oai:DiVA.org:ltu-105577
DiVA, id:
diva2:1860059
Note
Validerad;2024;Nivå 1;2024-05-29 (joosat);
Available from:
2024-05-23
Created:
2024-05-23
Last updated:
2025-02-07
Bibliographically approved
Open Access in DiVA
No full text in DiVA
Other links
Publisher's full text
Scopus
Authority records
Venkatesh Sridharan, Naveen
Search in DiVA
By author/editor
Venkatesh Sridharan, Naveen
Sugumaran, Vaithiyanathan
By organisation
Operation, Maintenance and Acoustics
On the subject
Computer graphics and computer vision
Search outside of DiVA
Google
Google Scholar
doi
urn-nbn
Altmetric score
doi
urn-nbn
Total: 46 hits
Cite
Export
BibTex
CSL-JSON
CSV 1
CSV 2
CSV 3
CSV 4
CSV 5
CSV all metadata
CSV all metadata version 2
RIS
Mods
MARC-XML
ETDMS
Link to record
Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-105577
Direct link
http://ltu.diva-portal.org/smash/record.jsf?pid=diva2:1860059
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
Other style
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
Other locale
de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
sv-SE
Other locale
More languages
Output format
html
text
asciidoc
rtf
html
text
asciidoc
rtf
Create
Close
v. 2.47.0
|
Researcher: Register
|
Student: Register
|
Contact
|
WCAG
DiVA
Logotyp