Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data.
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| Title: | Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data. |
|---|---|
| Authors: | Liu, Xiao1,2, Fang, Xianmei2,3, Sun, Song1,3,4, Gao, Yangchun1,4, Yang, Dan5, Yan, Meng1,2, mengy@cqu.edu.cn |
| Source: | Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2635, 15p |
| 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: 183645298 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=183645298 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app15052635 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 2635 Titles: – TitleFull: Crashing Fault Residence Prediction Using a Hybrid Feature Selection Framework from Multi-Source Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Xiao – PersonEntity: Name: NameFull: Fang, Xianmei – PersonEntity: Name: NameFull: Sun, Song – PersonEntity: Name: NameFull: Gao, Yangchun – PersonEntity: Name: NameFull: Yang, Dan – PersonEntity: Name: NameFull: Yan, Meng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 5 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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