Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction.
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| Title: | Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction. |
|---|---|
| Authors: | Cullen, Andrew C.1, andrew.cullen@unimelb.edu.au, Rubinstein, Benjamin I. P.1, Kandeepan, Sithamparanathan2, Flower, Barry3, Leong, Philip H. W.3 |
| Source: | Artificial Intelligence Review; Oct2023, Vol. 56 Issue 10, p10921-10959, 39p |
| 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: 170039903 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-023-10449-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 39 StartPage: 10921 Titles: – TitleFull: Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cullen, Andrew C. – PersonEntity: Name: NameFull: Rubinstein, Benjamin I. P. – PersonEntity: Name: NameFull: Kandeepan, Sithamparanathan – PersonEntity: Name: NameFull: Flower, Barry – PersonEntity: Name: NameFull: Leong, Philip H. W. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 56 – Type: issue Value: 10 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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