Design and Optimization of a Photonic Crystal-Based All Optical XOR Gate Using Machine Learning.
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| Title: | Design and Optimization of a Photonic Crystal-Based All Optical XOR Gate Using Machine Learning. |
|---|---|
| Authors: | Parandin, Fariborz1 fa.parandin@iau.ac.ir, Mohamadi, Alireza2 alirezamohamadi@iau.ac.ir |
| Source: | Majlesi Journal of Electrical Engineering. Mar2024, Vol. 18 Issue 1, p1-8. 8p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 177170196 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Design and Optimization of a Photonic Crystal-Based All Optical XOR Gate Using Machine Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Parandin%2C+Fariborz%22">Parandin, Fariborz</searchLink><relatesTo>1</relatesTo><i> fa.parandin@iau.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Mohamadi%2C+Alireza%22">Mohamadi, Alireza</searchLink><relatesTo>2</relatesTo><i> alirezamohamadi@iau.ac.ir</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Majlesi+Journal+of+Electrical+Engineering%22">Majlesi Journal of Electrical Engineering</searchLink>. Mar2024, Vol. 18 Issue 1, p1-8. 8p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=177170196 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.30486/mjee.2023.1984121.1111 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1 Titles: – TitleFull: Design and Optimization of a Photonic Crystal-Based All Optical XOR Gate Using Machine Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Parandin, Fariborz – PersonEntity: Name: NameFull: Mohamadi, Alireza IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 2345377X Numbering: – Type: volume Value: 18 – Type: issue Value: 1 Titles: – TitleFull: Majlesi Journal of Electrical Engineering Type: main |
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