Classification of Hydroacoustic Signals Based on Harmonic Wavelets and a Deep Learning Artificial Intelligence System.
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| Title: | Classification of Hydroacoustic Signals Based on Harmonic Wavelets and a Deep Learning Artificial Intelligence System. |
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| Authors: | Kaplun, Dmitry1, dikaplun@etu.ru, Voznesensky, Alexander1, a-voznesensky@yandex.ru, Romanov, Sergei1, saromanov@etu.ru, Andreev, Valery2, vsandreev@etu.ru, Butusov, Denis3, dnbutusov@etu.ru |
| Source: | Applied Sciences (2076-3417); May2020, Vol. 10 Issue 9, p3097, 14p |
| 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: 143331174 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=143331174 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app10093097 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 3097 Titles: – TitleFull: Classification of Hydroacoustic Signals Based on Harmonic Wavelets and a Deep Learning Artificial Intelligence System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kaplun, Dmitry – PersonEntity: Name: NameFull: Voznesensky, Alexander – PersonEntity: Name: NameFull: Romanov, Sergei – PersonEntity: Name: NameFull: Andreev, Valery – PersonEntity: Name: NameFull: Butusov, Denis IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 10 – Type: issue Value: 9 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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