Improving the Performance of Opportunistic Networks in Real-World Applications Using Machine Learning Techniques.
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| Title: | Improving the Performance of Opportunistic Networks in Real-World Applications Using Machine Learning Techniques. |
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| Authors: | Rashidibajgan, Samaneh1, samaneh.rashidibajgan@wi.uni-muenster.de, Hupperich, Thomas1 |
| Source: | Journal of Sensor & Actuator Networks; Dec2022, Vol. 11 Issue 4, p61, 30p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 161006038 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Improving the Performance of Opportunistic Networks in Real-World Applications Using Machine Learning Techniques. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Rashidibajgan%2C+Samaneh%22">Rashidibajgan, Samaneh</searchLink><relatesTo>1</relatesTo>, <i>samaneh.rashidibajgan@wi.uni-muenster.de</i><br /><searchLink fieldCode="AU" term="%22Hupperich%2C+Thomas%22">Hupperich, Thomas</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Sensor+%26+Actuator+Networks%22">Journal of Sensor & Actuator Networks</searchLink>; Dec2022, Vol. 11 Issue 4, p61, 30p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161006038 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/jsan11040061 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 61 Titles: – TitleFull: Improving the Performance of Opportunistic Networks in Real-World Applications Using Machine Learning Techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rashidibajgan, Samaneh – PersonEntity: Name: NameFull: Hupperich, Thomas IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 22242708 Numbering: – Type: volume Value: 11 – Type: issue Value: 4 Titles: – TitleFull: Journal of Sensor & Actuator Networks Type: main |
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