Real-time crack detection on concrete using non-destructive approaches based on Yolo series : Review
author
Bassir, David
Chang, Haochen
Majak, Jüri
statement of authorship
David Bassir, Haochen Chang, Juri Majak
source
Advances in Machinery, Materials Science and Engineering Application X : Proceedings of the 10th International Conference (MMSE 2024), Paris, France, 27–28 July 2024
publisher
IOS Press BV
year of publication
2024
pages
p. 820-826
series
Advances in Transdisciplinary Engineering ; 58
conference name, date
10th International Conference on Advances in Machinery, Material Science and Engineering Application, MMSE 2024, 27-28 July 2024
conference location
Paris, France
url
https://doi.org/10.3233/ATDE240712
subject term
tehisintellekt
betoon
sügavõpe
prognoosmudelid
reaalajasüsteemid
Scopus
https://www.scopus.com/sourceid/21101194991
https://www.scopus.com/pages/publications/85213967051?inward
quartile
Q4
category (general)
Engineering
Tehnika
Computer science
Arvutiteadus
Mathematics
Matemaatika
Business, management and accounting
Äri, juhtimine ja raamatupidamine
category (sub)
Engineering. Industrial and manufacturing engineering
Tehnika. Tööstus- ja tootmistehnika
Computer science. Computer science applications
Arvutiteadus. Arvutiteaduse rakendused
Mathematics. Algebra and number theory
Matemaatika. Algebra ja arvuteooria
Computer science. Software
Arvutiteadus. Tarkvara
Business, management and accounting. Strategy and management
Äri, juhtimine ja raamatupidamine. Strateegia ja juhtimine
keyword
AI
crack detection
deep learning (DL)
prediction
Yolo series
You Only Look Once (YOLO)
ISSN
2352-751X
ISBN
978-164368546-5
notes
Bibliogr.: 18 ref
Reaalajas pragude tuvastamine betoonis mittepurustavate meetodite abil, mis põhinevad Yolo tüüpi närvivõrgul: Ülevaade
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
mehaanika ja tööstustehnika instituut
language
inglise