FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3040697670> ?p ?o ?g. }

• W3040697670 endingPage "220" @default.
• W3040697670 startingPage "213" @default.
• W3040697670 abstract "Sound-absorbing asphalts are particularly useful for reducing noise emissions from vehicular traffic. This solution is perfectly suited for urban areas, in fact the use of sound-absorbing asphalt represents a noise control measure with a negligible environmental impact. In the present work, the results of an experimental investigation on sound-absorbing asphalts were reported. First, the characteristics of the sound-absorbing asphalts used were experimentally found. Then, the measurements of the sound absorption coefficient of the asphalt specimens were investigated. In the final part, numerical simulation model with artificial neural networks of the acoustic coefficient were compared with the data obtained from the measurements. The neural network model showed good Pearson correlation coefficient values (0.894) which can be used with good accuracy to predict the sound absorption coefficient." @default.
• W3040697670 created "2020-07-16" @default.
• W3040697670 creator A5038296791 @default.
• W3040697670 creator A5039998278 @default.
• W3040697670 creator A5047795229 @default.
• W3040697670 creator A5074196014 @default.
• W3040697670 creator A5088167386 @default.
• W3040697670 date "2021-05-01" @default.
• W3040697670 modified "2023-10-04" @default.
• W3040697670 title "An artificial neural network approach to modelling absorbent asphalts acoustic properties" @default.
• W3040697670 cites W1525190913 @default.
• W3040697670 cites W1963704110 @default.
• W3040697670 cites W1976325702 @default.
• W3040697670 cites W1979050976 @default.
• W3040697670 cites W1997770896 @default.
• W3040697670 cites W2038145380 @default.
• W3040697670 cites W2045462914 @default.
• W3040697670 cites W2051812123 @default.
• W3040697670 cites W2061958840 @default.
• W3040697670 cites W2065655655 @default.
• W3040697670 cites W206645693 @default.
• W3040697670 cites W2078564204 @default.
• W3040697670 cites W2083219415 @default.
• W3040697670 cites W2092996249 @default.
• W3040697670 cites W2148789439 @default.
• W3040697670 cites W2161468087 @default.
• W3040697670 cites W2337082154 @default.
• W3040697670 cites W2464725281 @default.
• W3040697670 cites W2592932478 @default.
• W3040697670 cites W2796710464 @default.
• W3040697670 cites W2800579688 @default.
• W3040697670 cites W2896350839 @default.
• W3040697670 cites W2902072648 @default.
• W3040697670 cites W2933250599 @default.
• W3040697670 cites W2962956752 @default.
• W3040697670 cites W2963433607 @default.
• W3040697670 cites W2976426597 @default.
• W3040697670 cites W2983573865 @default.
• W3040697670 cites W3004817273 @default.
• W3040697670 doi "https://doi.org/10.1016/j.jksues.2020.07.002" @default.
• W3040697670 hasPublicationYear "2021" @default.
• W3040697670 type Work @default.
• W3040697670 sameAs 3040697670 @default.
• W3040697670 citedByCount "22" @default.
• W3040697670 countsByYear W30406976702020 @default.
• W3040697670 countsByYear W30406976702021 @default.
• W3040697670 countsByYear W30406976702022 @default.
• W3040697670 countsByYear W30406976702023 @default.
• W3040697670 crossrefType "journal-article" @default.
• W3040697670 hasAuthorship W3040697670A5038296791 @default.
• W3040697670 hasAuthorship W3040697670A5039998278 @default.
• W3040697670 hasAuthorship W3040697670A5047795229 @default.
• W3040697670 hasAuthorship W3040697670A5074196014 @default.
• W3040697670 hasAuthorship W3040697670A5088167386 @default.
• W3040697670 hasBestOaLocation W30406976701 @default.
• W3040697670 hasConcept C115961682 @default.
• W3040697670 hasConcept C116822448 @default.
• W3040697670 hasConcept C119857082 @default.
• W3040697670 hasConcept C120665830 @default.
• W3040697670 hasConcept C121332964 @default.
• W3040697670 hasConcept C124101348 @default.
• W3040697670 hasConcept C125287762 @default.
• W3040697670 hasConcept C127413603 @default.
• W3040697670 hasConcept C154945302 @default.
• W3040697670 hasConcept C159774933 @default.
• W3040697670 hasConcept C159985019 @default.
• W3040697670 hasConcept C163294075 @default.
• W3040697670 hasConcept C168056786 @default.
• W3040697670 hasConcept C18762648 @default.
• W3040697670 hasConcept C192562407 @default.
• W3040697670 hasConcept C203519082 @default.
• W3040697670 hasConcept C203718221 @default.
• W3040697670 hasConcept C24890656 @default.
• W3040697670 hasConcept C2780009758 @default.
• W3040697670 hasConcept C2780092901 @default.
• W3040697670 hasConcept C39432304 @default.
• W3040697670 hasConcept C41008148 @default.
• W3040697670 hasConcept C50644808 @default.
• W3040697670 hasConcept C6648577 @default.
• W3040697670 hasConcept C78519656 @default.
• W3040697670 hasConcept C99498987 @default.
• W3040697670 hasConceptScore W3040697670C115961682 @default.
• W3040697670 hasConceptScore W3040697670C116822448 @default.
• W3040697670 hasConceptScore W3040697670C119857082 @default.
• W3040697670 hasConceptScore W3040697670C120665830 @default.
• W3040697670 hasConceptScore W3040697670C121332964 @default.
• W3040697670 hasConceptScore W3040697670C124101348 @default.
• W3040697670 hasConceptScore W3040697670C125287762 @default.
• W3040697670 hasConceptScore W3040697670C127413603 @default.
• W3040697670 hasConceptScore W3040697670C154945302 @default.
• W3040697670 hasConceptScore W3040697670C159774933 @default.
• W3040697670 hasConceptScore W3040697670C159985019 @default.
• W3040697670 hasConceptScore W3040697670C163294075 @default.
• W3040697670 hasConceptScore W3040697670C168056786 @default.
• W3040697670 hasConceptScore W3040697670C18762648 @default.
• W3040697670 hasConceptScore W3040697670C192562407 @default.
• W3040697670 hasConceptScore W3040697670C203519082 @default.
• W3040697670 hasConceptScore W3040697670C203718221 @default.

• next