Machine Learning Approaches to Ignitability Classification of Solid Combustibles.
Saved in:
| Title: | Machine Learning Approaches to Ignitability Classification of Solid Combustibles. |
|---|---|
| Authors: | Tang, Xuguang1, Liao, Haoyu1, Gong, Junhui1,2, gjh9896@njtech.edu.cn |
| Source: | Combustion Science & Technology; 2026, Vol. 198 Issue 10, p3529-3552, 24p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 195034572 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Machine Learning Approaches to Ignitability Classification of Solid Combustibles. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tang%2C+Xuguang%22">Tang, Xuguang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Liao%2C+Haoyu%22">Liao, Haoyu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gong%2C+Junhui%22">Gong, Junhui</searchLink><relatesTo>1,2</relatesTo>, <i>gjh9896@njtech.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Combustion+Science+%26+Technology%22">Combustion Science & Technology</searchLink>; 2026, Vol. 198 Issue 10, p3529-3552, 24p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=195034572 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00102202.2025.2540313 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 3529 Titles: – TitleFull: Machine Learning Approaches to Ignitability Classification of Solid Combustibles. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tang, Xuguang – PersonEntity: Name: NameFull: Liao, Haoyu – PersonEntity: Name: NameFull: Gong, Junhui IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00102202 Numbering: – Type: volume Value: 198 – Type: issue Value: 10 Titles: – TitleFull: Combustion Science & Technology Type: main |
| ResultId | 1 |