Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320080670> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4320080670 endingPage "654" @default.
- W4320080670 startingPage "641" @default.
- W4320080670 abstract "A convolutional autoencoder is trained using a database of airfoil aerodynamic simulations and assessed in terms of overall accuracy and interpretability. The goal is to predict the stall and to investigate the ability of the autoencoder to distinguish between the linear and non-linear response of the airfoil pressure distribution to changes in the angle of attack. After a sensitivity analysis on the learning infrastructure, we investigate the latent space identified by the autoencoder targeting extreme compression rates, i.e. very low-dimensional reconstructions. We also propose a strategy to use the decoder to generate new synthetic airfoil geometries and aerodynamic solutions by interpolation and extrapolation in the latent representation learned by the autoencoder." @default.
- W4320080670 created "2023-02-12" @default.
- W4320080670 creator A5023509598 @default.
- W4320080670 creator A5047377841 @default.
- W4320080670 creator A5051002087 @default.
- W4320080670 date "2022-08-09" @default.
- W4320080670 modified "2023-09-27" @default.
- W4320080670 title "Machine Learning to Predict Aerodynamic Stall" @default.
- W4320080670 cites W2076110561 @default.
- W4320080670 cites W2100415013 @default.
- W4320080670 cites W2216523920 @default.
- W4320080670 cites W2322261300 @default.
- W4320080670 cites W2335524910 @default.
- W4320080670 cites W2795982117 @default.
- W4320080670 cites W2800141121 @default.
- W4320080670 cites W2911005554 @default.
- W4320080670 cites W2914919122 @default.
- W4320080670 cites W2964027982 @default.
- W4320080670 cites W2979165111 @default.
- W4320080670 cites W2986795381 @default.
- W4320080670 cites W2987377479 @default.
- W4320080670 cites W3034037399 @default.
- W4320080670 cites W3038175773 @default.
- W4320080670 cites W3082756371 @default.
- W4320080670 cites W3123883114 @default.
- W4320080670 cites W4286471521 @default.
- W4320080670 doi "https://doi.org/10.1080/10618562.2023.2171021" @default.
- W4320080670 hasPublicationYear "2022" @default.
- W4320080670 type Work @default.
- W4320080670 citedByCount "2" @default.
- W4320080670 countsByYear W43200806702023 @default.
- W4320080670 crossrefType "journal-article" @default.
- W4320080670 hasAuthorship W4320080670A5023509598 @default.
- W4320080670 hasAuthorship W4320080670A5047377841 @default.
- W4320080670 hasAuthorship W4320080670A5051002087 @default.
- W4320080670 hasBestOaLocation W43200806702 @default.
- W4320080670 hasConcept C101738243 @default.
- W4320080670 hasConcept C105795698 @default.
- W4320080670 hasConcept C108583219 @default.
- W4320080670 hasConcept C112124176 @default.
- W4320080670 hasConcept C119857082 @default.
- W4320080670 hasConcept C127413603 @default.
- W4320080670 hasConcept C132459708 @default.
- W4320080670 hasConcept C13393347 @default.
- W4320080670 hasConcept C146978453 @default.
- W4320080670 hasConcept C154945302 @default.
- W4320080670 hasConcept C2781067378 @default.
- W4320080670 hasConcept C33923547 @default.
- W4320080670 hasConcept C41008148 @default.
- W4320080670 hasConcept C5804382 @default.
- W4320080670 hasConceptScore W4320080670C101738243 @default.
- W4320080670 hasConceptScore W4320080670C105795698 @default.
- W4320080670 hasConceptScore W4320080670C108583219 @default.
- W4320080670 hasConceptScore W4320080670C112124176 @default.
- W4320080670 hasConceptScore W4320080670C119857082 @default.
- W4320080670 hasConceptScore W4320080670C127413603 @default.
- W4320080670 hasConceptScore W4320080670C132459708 @default.
- W4320080670 hasConceptScore W4320080670C13393347 @default.
- W4320080670 hasConceptScore W4320080670C146978453 @default.
- W4320080670 hasConceptScore W4320080670C154945302 @default.
- W4320080670 hasConceptScore W4320080670C2781067378 @default.
- W4320080670 hasConceptScore W4320080670C33923547 @default.
- W4320080670 hasConceptScore W4320080670C41008148 @default.
- W4320080670 hasConceptScore W4320080670C5804382 @default.
- W4320080670 hasIssue "7" @default.
- W4320080670 hasLocation W43200806701 @default.
- W4320080670 hasLocation W43200806702 @default.
- W4320080670 hasLocation W43200806703 @default.
- W4320080670 hasOpenAccess W4320080670 @default.
- W4320080670 hasPrimaryLocation W43200806701 @default.
- W4320080670 hasRelatedWork W2078227414 @default.
- W4320080670 hasRelatedWork W3006943036 @default.
- W4320080670 hasRelatedWork W3026587722 @default.
- W4320080670 hasRelatedWork W4206534706 @default.
- W4320080670 hasRelatedWork W4229079080 @default.
- W4320080670 hasRelatedWork W4312091373 @default.
- W4320080670 hasRelatedWork W4379877502 @default.
- W4320080670 hasRelatedWork W4385957992 @default.
- W4320080670 hasRelatedWork W4385965371 @default.
- W4320080670 hasRelatedWork W4386025632 @default.
- W4320080670 hasVolume "36" @default.
- W4320080670 isParatext "false" @default.
- W4320080670 isRetracted "false" @default.
- W4320080670 workType "article" @default.