Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383532515> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4383532515 endingPage "e17902" @default.
- W4383532515 startingPage "e17902" @default.
- W4383532515 abstract "Atherosclerosis is a medical condition involving the hardening and/or thickening of arteries' walls. Mathematical multi-physics models have been developed to predict the development of atherosclerosis under different conditions. However, these models are typically computationally expensive. In this study, we used machine learning techniques, particularly artificial neural networks (ANN), to enhance the computational efficiency of these models. A database of multi-physics Finite Element Method (FEM) simulations was created and used for training and validating an ANN model. The model is capable of quick and accurate prediction of atherosclerosis development. A remarkable computational gain is obtained using the ANN model compared to the original FEM simulations." @default.
- W4383532515 created "2023-07-08" @default.
- W4383532515 creator A5022209633 @default.
- W4383532515 creator A5049693882 @default.
- W4383532515 creator A5050721976 @default.
- W4383532515 creator A5057048220 @default.
- W4383532515 date "2023-07-01" @default.
- W4383532515 modified "2023-09-30" @default.
- W4383532515 title "A multiphysics-based artificial neural networks model for atherosclerosis" @default.
- W4383532515 cites W1977931720 @default.
- W4383532515 cites W1992152105 @default.
- W4383532515 cites W1997123196 @default.
- W4383532515 cites W2041001120 @default.
- W4383532515 cites W2094890404 @default.
- W4383532515 cites W2137570167 @default.
- W4383532515 cites W2159087408 @default.
- W4383532515 cites W2161663128 @default.
- W4383532515 cites W2166739553 @default.
- W4383532515 cites W2169003740 @default.
- W4383532515 cites W2413045839 @default.
- W4383532515 cites W2573315654 @default.
- W4383532515 cites W2756528638 @default.
- W4383532515 cites W2916048747 @default.
- W4383532515 cites W2988959924 @default.
- W4383532515 cites W3021579829 @default.
- W4383532515 cites W3088794182 @default.
- W4383532515 cites W3096751066 @default.
- W4383532515 cites W3108411643 @default.
- W4383532515 cites W3155824129 @default.
- W4383532515 cites W3164404864 @default.
- W4383532515 cites W3172367793 @default.
- W4383532515 cites W3179710904 @default.
- W4383532515 cites W3185827779 @default.
- W4383532515 cites W3191822002 @default.
- W4383532515 cites W3195639029 @default.
- W4383532515 cites W4210669183 @default.
- W4383532515 cites W4213043048 @default.
- W4383532515 cites W4221138671 @default.
- W4383532515 cites W4308742595 @default.
- W4383532515 doi "https://doi.org/10.1016/j.heliyon.2023.e17902" @default.
- W4383532515 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37483801" @default.
- W4383532515 hasPublicationYear "2023" @default.
- W4383532515 type Work @default.
- W4383532515 citedByCount "0" @default.
- W4383532515 crossrefType "journal-article" @default.
- W4383532515 hasAuthorship W4383532515A5022209633 @default.
- W4383532515 hasAuthorship W4383532515A5049693882 @default.
- W4383532515 hasAuthorship W4383532515A5050721976 @default.
- W4383532515 hasAuthorship W4383532515A5057048220 @default.
- W4383532515 hasBestOaLocation W43835325151 @default.
- W4383532515 hasConcept C119857082 @default.
- W4383532515 hasConcept C127413603 @default.
- W4383532515 hasConcept C135628077 @default.
- W4383532515 hasConcept C154945302 @default.
- W4383532515 hasConcept C41008148 @default.
- W4383532515 hasConcept C46435376 @default.
- W4383532515 hasConcept C50644808 @default.
- W4383532515 hasConcept C66938386 @default.
- W4383532515 hasConcept C68597687 @default.
- W4383532515 hasConceptScore W4383532515C119857082 @default.
- W4383532515 hasConceptScore W4383532515C127413603 @default.
- W4383532515 hasConceptScore W4383532515C135628077 @default.
- W4383532515 hasConceptScore W4383532515C154945302 @default.
- W4383532515 hasConceptScore W4383532515C41008148 @default.
- W4383532515 hasConceptScore W4383532515C46435376 @default.
- W4383532515 hasConceptScore W4383532515C50644808 @default.
- W4383532515 hasConceptScore W4383532515C66938386 @default.
- W4383532515 hasConceptScore W4383532515C68597687 @default.
- W4383532515 hasFunder F4320320879 @default.
- W4383532515 hasFunder F4320322581 @default.
- W4383532515 hasFunder F4320334704 @default.
- W4383532515 hasIssue "7" @default.
- W4383532515 hasLocation W43835325151 @default.
- W4383532515 hasLocation W43835325152 @default.
- W4383532515 hasOpenAccess W4383532515 @default.
- W4383532515 hasPrimaryLocation W43835325151 @default.
- W4383532515 hasRelatedWork W1552428517 @default.
- W4383532515 hasRelatedWork W2001551372 @default.
- W4383532515 hasRelatedWork W2010566957 @default.
- W4383532515 hasRelatedWork W2080525111 @default.
- W4383532515 hasRelatedWork W2139580322 @default.
- W4383532515 hasRelatedWork W274022721 @default.
- W4383532515 hasRelatedWork W2961085424 @default.
- W4383532515 hasRelatedWork W4323546569 @default.
- W4383532515 hasRelatedWork W4385313520 @default.
- W4383532515 hasRelatedWork W2469918743 @default.
- W4383532515 hasVolume "9" @default.
- W4383532515 isParatext "false" @default.
- W4383532515 isRetracted "false" @default.
- W4383532515 workType "article" @default.