Application of YOLOv11 deep learning model for classification and counting ice-rafted debris (IRD) in core sediments in the Arctic Ocean.
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| Title: | Application of YOLOv11 deep learning model for classification and counting ice-rafted debris (IRD) in core sediments in the Arctic Ocean. |
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| Authors: | Bang, Sunhwa1, Keum, Jae-Yoon1, Ji, Yoon2, Kang, Yang Jae1,3,4, So, Byung-Dal5, Hong, Jong Kuk6, Kim, Hyo-Im1,2, hyoim@gnu.ac.kr |
| Source: | Artificial Intelligence in Geosciences; 2026, Vol. 7 Issue 1, p1-17, 17p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 193003208 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Application of YOLOv11 deep learning model for classification and counting ice-rafted debris (IRD) in core sediments in the Arctic Ocean. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bang%2C+Sunhwa%22">Bang, Sunhwa</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Keum%2C+Jae-Yoon%22">Keum, Jae-Yoon</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ji%2C+Yoon%22">Ji, Yoon</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Kang%2C+Yang+Jae%22">Kang, Yang Jae</searchLink><relatesTo>1,3,4</relatesTo><br /><searchLink fieldCode="AU" term="%22So%2C+Byung-Dal%22">So, Byung-Dal</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AU" term="%22Hong%2C+Jong+Kuk%22">Hong, Jong Kuk</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AU" term="%22Kim%2C+Hyo-Im%22">Kim, Hyo-Im</searchLink><relatesTo>1,2</relatesTo>, <i>hyoim@gnu.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+in+Geosciences%22">Artificial Intelligence in Geosciences</searchLink>; 2026, Vol. 7 Issue 1, p1-17, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193003208 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.aiig.2026.100191 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Application of YOLOv11 deep learning model for classification and counting ice-rafted debris (IRD) in core sediments in the Arctic Ocean. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bang, Sunhwa – PersonEntity: Name: NameFull: Keum, Jae-Yoon – PersonEntity: Name: NameFull: Ji, Yoon – PersonEntity: Name: NameFull: Kang, Yang Jae – PersonEntity: Name: NameFull: So, Byung-Dal – PersonEntity: Name: NameFull: Hong, Jong Kuk – PersonEntity: Name: NameFull: Kim, Hyo-Im IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 26665441 Numbering: – Type: volume Value: 7 – Type: issue Value: 1 Titles: – TitleFull: Artificial Intelligence in Geosciences Type: main |
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