A Machine Learning Approach for the Classification of Refrigerant Gases.
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| Title: | A Machine Learning Approach for the Classification of Refrigerant Gases. |
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| Authors: | Argirusis, Nikolaos1, nikos.argirusis@mat4nrg.de, Konstantaras, John2, john.konstantaras@uoa.gr, Argirusis, Christos1,3, amca@chemeng.ntua.gr, Dimokas, Nikos4, ndimokas@uowm.gr, Thanopoulos, Sotirios5, s.thanop@outlook.com, Karvelis, Petros6, pkarvelis@uoi.gr |
| Source: | Applied Sciences (2076-3417); Jul2024, Vol. 14 Issue 14, p6230, 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: 178690798 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Machine Learning Approach for the Classification of Refrigerant Gases. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Argirusis%2C+Nikolaos%22">Argirusis, Nikolaos</searchLink><relatesTo>1</relatesTo>, <i>nikos.argirusis@mat4nrg.de</i><br /><searchLink fieldCode="AU" term="%22Konstantaras%2C+John%22">Konstantaras, John</searchLink><relatesTo>2</relatesTo>, <i>john.konstantaras@uoa.gr</i><br /><searchLink fieldCode="AU" term="%22Argirusis%2C+Christos%22">Argirusis, Christos</searchLink><relatesTo>1,3</relatesTo>, <i>amca@chemeng.ntua.gr</i><br /><searchLink fieldCode="AU" term="%22Dimokas%2C+Nikos%22">Dimokas, Nikos</searchLink><relatesTo>4</relatesTo>, <i>ndimokas@uowm.gr</i><br /><searchLink fieldCode="AU" term="%22Thanopoulos%2C+Sotirios%22">Thanopoulos, Sotirios</searchLink><relatesTo>5</relatesTo>, <i>s.thanop@outlook.com</i><br /><searchLink fieldCode="AU" term="%22Karvelis%2C+Petros%22">Karvelis, Petros</searchLink><relatesTo>6</relatesTo>, <i>pkarvelis@uoi.gr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Jul2024, Vol. 14 Issue 14, p6230, 15p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178690798 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app14146230 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 6230 Titles: – TitleFull: A Machine Learning Approach for the Classification of Refrigerant Gases. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Argirusis, Nikolaos – PersonEntity: Name: NameFull: Konstantaras, John – PersonEntity: Name: NameFull: Argirusis, Christos – PersonEntity: Name: NameFull: Dimokas, Nikos – PersonEntity: Name: NameFull: Thanopoulos, Sotirios – PersonEntity: Name: NameFull: Karvelis, Petros IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 14 – Type: issue Value: 14 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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