- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-1115
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Deep learning for component fault detection in electricity transmission lines ; volume:9 ; number:1 ; day:17 ; month:6 ; year:2022 ; pages:1-34 ; date:12.2022
Journal of Big Data ; 9, Heft 1 (17.6.2022), 1-34, 12.2022
- Creator
-
Maduako, Iyke
Igwe, Chukwuemeka Fortune
Abah, James Edebo
Onwuasaanya, Obianuju Esther
Chukwu, Grace Amarachi
Ezeji, Franklin
Okeke, Francis Ifeanyi
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s40537-022-00630-2
- URN
-
urn:nbn:de:101:1-2022081623385157504998
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:32 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Maduako, Iyke
- Igwe, Chukwuemeka Fortune
- Abah, James Edebo
- Onwuasaanya, Obianuju Esther
- Chukwu, Grace Amarachi
- Ezeji, Franklin
- Okeke, Francis Ifeanyi
- SpringerLink (Online service)
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