Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320479213> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4320479213 endingPage "105840" @default.
- W4320479213 startingPage "105840" @default.
- W4320479213 abstract "Timely and effective flight regime recognition is one of the key tasks for structural usage monitoring, it can provide early warning to the dangerous regime. However, existing methods for flight regime recognition either rely on expert knowledge or ignore the continuity and decision boundary of the regimes, which limits their performance for complex regimes and hinders their deployment in practice. In this paper, we provided a brand-new solution for this problem and designed a deep temporal segmentation neural network to realize intelligent regime segmentation. Meanwhile, we revealed the long-tailed distribution of flight regimes and proposed class-wise dynamic group rebalance loss to keep inter-class accuracy balanced. To evaluate the effectiveness of the proposed model, we collected and elaborately annotated plentiful actual flight sorties data, including 11 flight regimes. Test results demonstrated that the model can automatically separate different regimes in a continuous flight sortie without any pre-processing and post-processing while extracting the accurate regime boundary and achieving 95.98% recognition accuracy." @default.
- W4320479213 created "2023-02-14" @default.
- W4320479213 creator A5011148961 @default.
- W4320479213 creator A5027894205 @default.
- W4320479213 creator A5043376220 @default.
- W4320479213 creator A5046915220 @default.
- W4320479213 creator A5088503073 @default.
- W4320479213 date "2023-04-01" @default.
- W4320479213 modified "2023-10-12" @default.
- W4320479213 title "Aircraft flight regime recognition with deep temporal segmentation neural network" @default.
- W4320479213 cites W1901129140 @default.
- W4320479213 cites W1949804828 @default.
- W4320479213 cites W2004448574 @default.
- W4320479213 cites W2074529621 @default.
- W4320479213 cites W2090934604 @default.
- W4320479213 cites W2144758378 @default.
- W4320479213 cites W2395611524 @default.
- W4320479213 cites W2560023338 @default.
- W4320479213 cites W2621328576 @default.
- W4320479213 cites W2746111230 @default.
- W4320479213 cites W2759167870 @default.
- W4320479213 cites W3007048760 @default.
- W4320479213 cites W3015912511 @default.
- W4320479213 cites W3021048621 @default.
- W4320479213 cites W3025888249 @default.
- W4320479213 cites W3036196967 @default.
- W4320479213 cites W3041517319 @default.
- W4320479213 cites W3103400132 @default.
- W4320479213 cites W3183978973 @default.
- W4320479213 cites W3197745496 @default.
- W4320479213 cites W4221001966 @default.
- W4320479213 cites W4221088221 @default.
- W4320479213 cites W4226266585 @default.
- W4320479213 cites W4282961476 @default.
- W4320479213 cites W4307193774 @default.
- W4320479213 cites W639708223 @default.
- W4320479213 doi "https://doi.org/10.1016/j.engappai.2023.105840" @default.
- W4320479213 hasPublicationYear "2023" @default.
- W4320479213 type Work @default.
- W4320479213 citedByCount "2" @default.
- W4320479213 countsByYear W43204792132023 @default.
- W4320479213 crossrefType "journal-article" @default.
- W4320479213 hasAuthorship W4320479213A5011148961 @default.
- W4320479213 hasAuthorship W4320479213A5027894205 @default.
- W4320479213 hasAuthorship W4320479213A5043376220 @default.
- W4320479213 hasAuthorship W4320479213A5046915220 @default.
- W4320479213 hasAuthorship W4320479213A5088503073 @default.
- W4320479213 hasConcept C105339364 @default.
- W4320479213 hasConcept C111919701 @default.
- W4320479213 hasConcept C119857082 @default.
- W4320479213 hasConcept C134306372 @default.
- W4320479213 hasConcept C154945302 @default.
- W4320479213 hasConcept C26517878 @default.
- W4320479213 hasConcept C2777943292 @default.
- W4320479213 hasConcept C29825287 @default.
- W4320479213 hasConcept C33923547 @default.
- W4320479213 hasConcept C38652104 @default.
- W4320479213 hasConcept C41008148 @default.
- W4320479213 hasConcept C44154836 @default.
- W4320479213 hasConcept C50644808 @default.
- W4320479213 hasConcept C62354387 @default.
- W4320479213 hasConcept C76155785 @default.
- W4320479213 hasConcept C89600930 @default.
- W4320479213 hasConceptScore W4320479213C105339364 @default.
- W4320479213 hasConceptScore W4320479213C111919701 @default.
- W4320479213 hasConceptScore W4320479213C119857082 @default.
- W4320479213 hasConceptScore W4320479213C134306372 @default.
- W4320479213 hasConceptScore W4320479213C154945302 @default.
- W4320479213 hasConceptScore W4320479213C26517878 @default.
- W4320479213 hasConceptScore W4320479213C2777943292 @default.
- W4320479213 hasConceptScore W4320479213C29825287 @default.
- W4320479213 hasConceptScore W4320479213C33923547 @default.
- W4320479213 hasConceptScore W4320479213C38652104 @default.
- W4320479213 hasConceptScore W4320479213C41008148 @default.
- W4320479213 hasConceptScore W4320479213C44154836 @default.
- W4320479213 hasConceptScore W4320479213C50644808 @default.
- W4320479213 hasConceptScore W4320479213C62354387 @default.
- W4320479213 hasConceptScore W4320479213C76155785 @default.
- W4320479213 hasConceptScore W4320479213C89600930 @default.
- W4320479213 hasLocation W43204792131 @default.
- W4320479213 hasOpenAccess W4320479213 @default.
- W4320479213 hasPrimaryLocation W43204792131 @default.
- W4320479213 hasRelatedWork W1607147593 @default.
- W4320479213 hasRelatedWork W2369811061 @default.
- W4320479213 hasRelatedWork W2566006169 @default.
- W4320479213 hasRelatedWork W2770234245 @default.
- W4320479213 hasRelatedWork W2987774938 @default.
- W4320479213 hasRelatedWork W3089997100 @default.
- W4320479213 hasRelatedWork W4229499248 @default.
- W4320479213 hasRelatedWork W4378874356 @default.
- W4320479213 hasRelatedWork W620798607 @default.
- W4320479213 hasRelatedWork W632915154 @default.
- W4320479213 hasVolume "120" @default.
- W4320479213 isParatext "false" @default.
- W4320479213 isRetracted "false" @default.
- W4320479213 workType "article" @default.