Machine Learning-Based Forecasting of Indoor Microclimate Conditions for Heritage Conservation: A Case Study at the Archaeological Museum of Delphi.
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| Title: | Machine Learning-Based Forecasting of Indoor Microclimate Conditions for Heritage Conservation: A Case Study at the Archaeological Museum of Delphi. |
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| Authors: | Tringa, Efstathia1, Kavroudakis, Dimitris2 |
| Source: | Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6092, 22p |
| 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: 194910300 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine Learning-Based Forecasting of Indoor Microclimate Conditions for Heritage Conservation: A Case Study at the Archaeological Museum of Delphi. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tringa%2C+Efstathia%22">Tringa, Efstathia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Kavroudakis%2C+Dimitris%22">Kavroudakis, Dimitris</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jun2026, Vol. 16 Issue 12, p6092, 22p |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16126092 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 6092 Titles: – TitleFull: Machine Learning-Based Forecasting of Indoor Microclimate Conditions for Heritage Conservation: A Case Study at the Archaeological Museum of Delphi. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tringa, Efstathia – PersonEntity: Name: NameFull: Kavroudakis, Dimitris IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 12 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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