Matches in SemOpenAlex for { <https://semopenalex.org/work/W4327694244> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4327694244 endingPage "104810" @default.
- W4327694244 startingPage "104810" @default.
- W4327694244 abstract "The type and properties of an aggregate affect the properties of their mixtures with either Portland cements or asphalt binders. How to quickly identify the information on an aggregate, providing a reliable basis for the quality assurance and quality control of aggregates, i.e., guarantee the source of aggregates is vital important. The purpose of this study is to explore a new and rapid detective technology for aggregate fingerprint identification using Fourier Transform Infrared Spectroscopy (FTIR). Machine learning algorithm of statistical analysis software (SPSS) was performed for principal component analysis, cluster analysis and linear discriminant analysis on collected information of the aggregates. The results showed that the aggregates of the same origin can be aggregated well by principal component analysis, cluster analysis and linear discriminant analysis as well. The cross-validation accuracy is very high." @default.
- W4327694244 created "2023-03-18" @default.
- W4327694244 creator A5007782782 @default.
- W4327694244 creator A5029322489 @default.
- W4327694244 creator A5046597133 @default.
- W4327694244 creator A5070127662 @default.
- W4327694244 date "2023-07-01" @default.
- W4327694244 modified "2023-09-26" @default.
- W4327694244 title "Aggregate fingerprints identification based on its compositions and machine learning algorithm" @default.
- W4327694244 cites W2001754837 @default.
- W4327694244 cites W2092257138 @default.
- W4327694244 cites W2140074357 @default.
- W4327694244 cites W2339296465 @default.
- W4327694244 cites W2736292376 @default.
- W4327694244 cites W2810997813 @default.
- W4327694244 cites W2901080452 @default.
- W4327694244 cites W2904731858 @default.
- W4327694244 cites W3048880254 @default.
- W4327694244 cites W3084306494 @default.
- W4327694244 doi "https://doi.org/10.1016/j.arabjc.2023.104810" @default.
- W4327694244 hasPublicationYear "2023" @default.
- W4327694244 type Work @default.
- W4327694244 citedByCount "0" @default.
- W4327694244 crossrefType "journal-article" @default.
- W4327694244 hasAuthorship W4327694244A5007782782 @default.
- W4327694244 hasAuthorship W4327694244A5029322489 @default.
- W4327694244 hasAuthorship W4327694244A5046597133 @default.
- W4327694244 hasAuthorship W4327694244A5070127662 @default.
- W4327694244 hasBestOaLocation W43276942441 @default.
- W4327694244 hasConcept C116834253 @default.
- W4327694244 hasConcept C127413603 @default.
- W4327694244 hasConcept C153180895 @default.
- W4327694244 hasConcept C154945302 @default.
- W4327694244 hasConcept C160892712 @default.
- W4327694244 hasConcept C164866538 @default.
- W4327694244 hasConcept C171250308 @default.
- W4327694244 hasConcept C185592680 @default.
- W4327694244 hasConcept C186060115 @default.
- W4327694244 hasConcept C192562407 @default.
- W4327694244 hasConcept C199360897 @default.
- W4327694244 hasConcept C27438332 @default.
- W4327694244 hasConcept C2777826928 @default.
- W4327694244 hasConcept C2780692498 @default.
- W4327694244 hasConcept C41008148 @default.
- W4327694244 hasConcept C42360764 @default.
- W4327694244 hasConcept C4679612 @default.
- W4327694244 hasConcept C59822182 @default.
- W4327694244 hasConcept C69738355 @default.
- W4327694244 hasConcept C86803240 @default.
- W4327694244 hasConceptScore W4327694244C116834253 @default.
- W4327694244 hasConceptScore W4327694244C127413603 @default.
- W4327694244 hasConceptScore W4327694244C153180895 @default.
- W4327694244 hasConceptScore W4327694244C154945302 @default.
- W4327694244 hasConceptScore W4327694244C160892712 @default.
- W4327694244 hasConceptScore W4327694244C164866538 @default.
- W4327694244 hasConceptScore W4327694244C171250308 @default.
- W4327694244 hasConceptScore W4327694244C185592680 @default.
- W4327694244 hasConceptScore W4327694244C186060115 @default.
- W4327694244 hasConceptScore W4327694244C192562407 @default.
- W4327694244 hasConceptScore W4327694244C199360897 @default.
- W4327694244 hasConceptScore W4327694244C27438332 @default.
- W4327694244 hasConceptScore W4327694244C2777826928 @default.
- W4327694244 hasConceptScore W4327694244C2780692498 @default.
- W4327694244 hasConceptScore W4327694244C41008148 @default.
- W4327694244 hasConceptScore W4327694244C42360764 @default.
- W4327694244 hasConceptScore W4327694244C4679612 @default.
- W4327694244 hasConceptScore W4327694244C59822182 @default.
- W4327694244 hasConceptScore W4327694244C69738355 @default.
- W4327694244 hasConceptScore W4327694244C86803240 @default.
- W4327694244 hasIssue "7" @default.
- W4327694244 hasLocation W43276942441 @default.
- W4327694244 hasOpenAccess W4327694244 @default.
- W4327694244 hasPrimaryLocation W43276942441 @default.
- W4327694244 hasRelatedWork W1540434450 @default.
- W4327694244 hasRelatedWork W2017960228 @default.
- W4327694244 hasRelatedWork W2052589448 @default.
- W4327694244 hasRelatedWork W2057748761 @default.
- W4327694244 hasRelatedWork W2137025968 @default.
- W4327694244 hasRelatedWork W2172074743 @default.
- W4327694244 hasRelatedWork W2355203151 @default.
- W4327694244 hasRelatedWork W2371006619 @default.
- W4327694244 hasRelatedWork W2380927352 @default.
- W4327694244 hasRelatedWork W94476185 @default.
- W4327694244 hasVolume "16" @default.
- W4327694244 isParatext "false" @default.
- W4327694244 isRetracted "false" @default.
- W4327694244 workType "article" @default.