Machine Learning for Leakage Diagnosis in Building Pipe Networks: A Review.
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| Title: | Machine Learning for Leakage Diagnosis in Building Pipe Networks: A Review. |
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| Authors: | Chang, Mingyu1,2, Qin, Haosen2,3, Li, Zhengwei3, zhengwei_li@tongji.edu.cn |
| Source: | Buildings (2075-5309); May2026, Vol. 16 Issue 10, p1855, 34p |
| 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: 194142568 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/buildings16101855 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 1855 Titles: – TitleFull: Machine Learning for Leakage Diagnosis in Building Pipe Networks: A Review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chang, Mingyu – PersonEntity: Name: NameFull: Qin, Haosen – PersonEntity: Name: NameFull: Li, Zhengwei IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20755309 Numbering: – Type: volume Value: 16 – Type: issue Value: 10 Titles: – TitleFull: Buildings (2075-5309) Type: main |
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