Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning.
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| Title: | Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning. |
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| Authors: | Trucco, Andrea1, trucco@ieee.org, Barla, Annalisa2, annalisa.barla@unige.it, Bozzano, Roberto3, roberto.bozzano@cnr.it, Fava, Emanuele1, emafa97@gmail.com, Pensieri, Sara3, sara.pensieri@cnr.it, Verri, Alessandro2, alessandro.verri@unige.it, Solarna, David1, david.solarna@edu.unige.it |
| Source: | IEEE Journal of Oceanic Engineering; Oct2022, Vol. 47 Issue 4, p1172-1187, 16p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 160687805 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Trucco%2C+Andrea%22">Trucco, Andrea</searchLink><relatesTo>1</relatesTo>, <i>trucco@ieee.org</i><br /><searchLink fieldCode="AU" term="%22Barla%2C+Annalisa%22">Barla, Annalisa</searchLink><relatesTo>2</relatesTo>, <i>annalisa.barla@unige.it</i><br /><searchLink fieldCode="AU" term="%22Bozzano%2C+Roberto%22">Bozzano, Roberto</searchLink><relatesTo>3</relatesTo>, <i>roberto.bozzano@cnr.it</i><br /><searchLink fieldCode="AU" term="%22Fava%2C+Emanuele%22">Fava, Emanuele</searchLink><relatesTo>1</relatesTo>, <i>emafa97@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Pensieri%2C+Sara%22">Pensieri, Sara</searchLink><relatesTo>3</relatesTo>, <i>sara.pensieri@cnr.it</i><br /><searchLink fieldCode="AU" term="%22Verri%2C+Alessandro%22">Verri, Alessandro</searchLink><relatesTo>2</relatesTo>, <i>alessandro.verri@unige.it</i><br /><searchLink fieldCode="AU" term="%22Solarna%2C+David%22">Solarna, David</searchLink><relatesTo>1</relatesTo>, <i>david.solarna@edu.unige.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Journal+of+Oceanic+Engineering%22">IEEE Journal of Oceanic Engineering</searchLink>; Oct2022, Vol. 47 Issue 4, p1172-1187, 16p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=160687805 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/JOE.2022.3162689 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1172 Titles: – TitleFull: Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Trucco, Andrea – PersonEntity: Name: NameFull: Barla, Annalisa – PersonEntity: Name: NameFull: Bozzano, Roberto – PersonEntity: Name: NameFull: Fava, Emanuele – PersonEntity: Name: NameFull: Pensieri, Sara – PersonEntity: Name: NameFull: Verri, Alessandro – PersonEntity: Name: NameFull: Solarna, David IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 03649059 Numbering: – Type: volume Value: 47 – Type: issue Value: 4 Titles: – TitleFull: IEEE Journal of Oceanic Engineering Type: main |
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