Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313291226> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4313291226 endingPage "4493" @default.
- W4313291226 startingPage "4482" @default.
- W4313291226 abstract "Neural network-based models have been implemented to predict various health indicators of asphalt pavement using pavement historical detection data. Unfortunately, their accuracy and reliability are not acceptable owing to their shallow architecture. To solve the issue, this study proposed an improved Transformer network to predict asphalt pavement health, called the Transformer with forward and reversed time series (Transformer FRTS). In terms of the input data, Transformer FRTS uses a new data form, so-called the random difference time series, to reduce the time dependency of the network prediction. In terms of the network architecture, the proposed network uses its encoder and decoder to obtain the data association from the forward and reverse time series. In addition, Transformer FRTS uses a post-processing decision criterion to improve the accuracy and reliability of prediction. The numerical experiment using the detection data from RIOHTrack full-scale track demonstrates that the proposed network has state-of-the-practice performance in asphalt pavement health prediction." @default.
- W4313291226 created "2023-01-06" @default.
- W4313291226 creator A5013308588 @default.
- W4313291226 creator A5024545973 @default.
- W4313291226 creator A5052910419 @default.
- W4313291226 creator A5064323152 @default.
- W4313291226 creator A5068429082 @default.
- W4313291226 creator A5088946207 @default.
- W4313291226 creator A5091482585 @default.
- W4313291226 date "2023-04-01" @default.
- W4313291226 modified "2023-10-16" @default.
- W4313291226 title "Asphalt Pavement Health Prediction Based on Improved Transformer Network" @default.
- W4313291226 cites W1961710666 @default.
- W4313291226 cites W2019842634 @default.
- W4313291226 cites W2031713099 @default.
- W4313291226 cites W2033791364 @default.
- W4313291226 cites W2054646078 @default.
- W4313291226 cites W2277140348 @default.
- W4313291226 cites W2759528577 @default.
- W4313291226 cites W2901917507 @default.
- W4313291226 cites W2912448132 @default.
- W4313291226 cites W2944114041 @default.
- W4313291226 cites W3080151044 @default.
- W4313291226 cites W3126361074 @default.
- W4313291226 cites W3163693889 @default.
- W4313291226 cites W3175172621 @default.
- W4313291226 cites W3197379538 @default.
- W4313291226 cites W3198794504 @default.
- W4313291226 cites W3200808519 @default.
- W4313291226 cites W3202668141 @default.
- W4313291226 cites W3209635876 @default.
- W4313291226 cites W4200036914 @default.
- W4313291226 cites W4200096648 @default.
- W4313291226 cites W4214651867 @default.
- W4313291226 cites W4220795454 @default.
- W4313291226 cites W4220864080 @default.
- W4313291226 cites W4225149737 @default.
- W4313291226 cites W4282927686 @default.
- W4313291226 doi "https://doi.org/10.1109/tits.2022.3229326" @default.
- W4313291226 hasPublicationYear "2023" @default.
- W4313291226 type Work @default.
- W4313291226 citedByCount "2" @default.
- W4313291226 countsByYear W43132912262023 @default.
- W4313291226 crossrefType "journal-article" @default.
- W4313291226 hasAuthorship W4313291226A5013308588 @default.
- W4313291226 hasAuthorship W4313291226A5024545973 @default.
- W4313291226 hasAuthorship W4313291226A5052910419 @default.
- W4313291226 hasAuthorship W4313291226A5064323152 @default.
- W4313291226 hasAuthorship W4313291226A5068429082 @default.
- W4313291226 hasAuthorship W4313291226A5088946207 @default.
- W4313291226 hasAuthorship W4313291226A5091482585 @default.
- W4313291226 hasConcept C119599485 @default.
- W4313291226 hasConcept C124101348 @default.
- W4313291226 hasConcept C127413603 @default.
- W4313291226 hasConcept C154945302 @default.
- W4313291226 hasConcept C165801399 @default.
- W4313291226 hasConcept C168056786 @default.
- W4313291226 hasConcept C200601418 @default.
- W4313291226 hasConcept C205649164 @default.
- W4313291226 hasConcept C41008148 @default.
- W4313291226 hasConcept C50644808 @default.
- W4313291226 hasConcept C58640448 @default.
- W4313291226 hasConcept C66322947 @default.
- W4313291226 hasConceptScore W4313291226C119599485 @default.
- W4313291226 hasConceptScore W4313291226C124101348 @default.
- W4313291226 hasConceptScore W4313291226C127413603 @default.
- W4313291226 hasConceptScore W4313291226C154945302 @default.
- W4313291226 hasConceptScore W4313291226C165801399 @default.
- W4313291226 hasConceptScore W4313291226C168056786 @default.
- W4313291226 hasConceptScore W4313291226C200601418 @default.
- W4313291226 hasConceptScore W4313291226C205649164 @default.
- W4313291226 hasConceptScore W4313291226C41008148 @default.
- W4313291226 hasConceptScore W4313291226C50644808 @default.
- W4313291226 hasConceptScore W4313291226C58640448 @default.
- W4313291226 hasConceptScore W4313291226C66322947 @default.
- W4313291226 hasFunder F4320321001 @default.
- W4313291226 hasIssue "4" @default.
- W4313291226 hasLocation W43132912261 @default.
- W4313291226 hasOpenAccess W4313291226 @default.
- W4313291226 hasPrimaryLocation W43132912261 @default.
- W4313291226 hasRelatedWork W2145487113 @default.
- W4313291226 hasRelatedWork W2347219288 @default.
- W4313291226 hasRelatedWork W2355764344 @default.
- W4313291226 hasRelatedWork W2363121467 @default.
- W4313291226 hasRelatedWork W2365799114 @default.
- W4313291226 hasRelatedWork W2386387936 @default.
- W4313291226 hasRelatedWork W2389498376 @default.
- W4313291226 hasRelatedWork W2899084033 @default.
- W4313291226 hasRelatedWork W2902281179 @default.
- W4313291226 hasRelatedWork W3159291936 @default.
- W4313291226 hasVolume "24" @default.
- W4313291226 isParatext "false" @default.
- W4313291226 isRetracted "false" @default.
- W4313291226 workType "article" @default.