Optimizing PCF-SPR sensor design through Taguchi approach, machine learning, and genetic algorithms
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Optimizing PCF-SPR sensor design through Taguchi approach, machine learning, and genetic algorithms ; volume:14 ; number:1 ; day:3 ; month:4 ; year:2024 ; pages:1-16 ; date:12.2024
Scientific reports ; 14, Heft 1 (3.4.2024), 1-16, 12.2024
- Creator
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Kaziz, Sameh
Echouchene, Fraj
Gazzah, Mohamed Hichem
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-55817-9
- URN
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urn:nbn:de:101:1-2406190944531.388280927035
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:56 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kaziz, Sameh
- Echouchene, Fraj
- Gazzah, Mohamed Hichem
- SpringerLink (Online service)