Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level.
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| Title: | Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level. |
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| Authors: | Yang, Anni1 (AUTHOR) anni.yang@ou.edu, Rodriguez, Matthew1 (AUTHOR), Yang, Di2 (AUTHOR) dyang1@uwyo.edu, Yang, Jue3 (AUTHOR) tvjoyxq@uga.edu, Cheng, Wenwen4 (AUTHOR) wcheng@ou.edu, Cai, Changjie5 (AUTHOR) changjie-cai@ouhsc.edu, Qiu, Han6 (AUTHOR) han.qiu@pnnl.gov |
| Source: | Remote Sensing. May2022, Vol. 14 Issue 10, p2369-2369. 15p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 157243908 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yang%2C+Anni%22">Yang, Anni</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> anni.yang@ou.edu</i><br /><searchLink fieldCode="AR" term="%22Rodriguez%2C+Matthew%22">Rodriguez, Matthew</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Di%22">Yang, Di</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> dyang1@uwyo.edu</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Jue%22">Yang, Jue</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> tvjoyxq@uga.edu</i><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Wenwen%22">Cheng, Wenwen</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> wcheng@ou.edu</i><br /><searchLink fieldCode="AR" term="%22Cai%2C+Changjie%22">Cai, Changjie</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> changjie-cai@ouhsc.edu</i><br /><searchLink fieldCode="AR" term="%22Qiu%2C+Han%22">Qiu, Han</searchLink><relatesTo>6</relatesTo> (AUTHOR)<i> han.qiu@pnnl.gov</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. May2022, Vol. 14 Issue 10, p2369-2369. 15p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=157243908 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs14102369 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 2369 Titles: – TitleFull: Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, Anni – PersonEntity: Name: NameFull: Rodriguez, Matthew – PersonEntity: Name: NameFull: Yang, Di – PersonEntity: Name: NameFull: Yang, Jue – PersonEntity: Name: NameFull: Cheng, Wenwen – PersonEntity: Name: NameFull: Cai, Changjie – PersonEntity: Name: NameFull: Qiu, Han IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 14 – Type: issue Value: 10 Titles: – TitleFull: Remote Sensing Type: main |
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