Wind Shear Prediction at Jeju International Airport Using a Tree-Based Machine Learning Algorithm.
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| Title: | Wind Shear Prediction at Jeju International Airport Using a Tree-Based Machine Learning Algorithm. |
|---|---|
| Authors: | Seok, Jae-Hyeok1 (AUTHOR) hyeoks@korea.kr, Choi, Hee-Wook1 (AUTHOR), Lee, Sang-Sam1 (AUTHOR) |
| Source: | Forecasting. Feb2026, Vol. 8 Issue 1, p4. 20p. |
| Database: | Business Source Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 192098039 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Wind Shear Prediction at Jeju International Airport Using a Tree-Based Machine Learning Algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Seok%2C+Jae-Hyeok%22">Seok, Jae-Hyeok</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hyeoks@korea.kr</i><br /><searchLink fieldCode="AR" term="%22Choi%2C+Hee-Wook%22">Choi, Hee-Wook</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Sang-Sam%22">Lee, Sang-Sam</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Forecasting%22">Forecasting</searchLink>. Feb2026, Vol. 8 Issue 1, p4. 20p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192098039 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/forecast8010004 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 4 Titles: – TitleFull: Wind Shear Prediction at Jeju International Airport Using a Tree-Based Machine Learning Algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Seok, Jae-Hyeok – PersonEntity: Name: NameFull: Choi, Hee-Wook – PersonEntity: Name: NameFull: Lee, Sang-Sam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 25719394 Numbering: – Type: volume Value: 8 – Type: issue Value: 1 Titles: – TitleFull: Forecasting Type: main |
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