Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894933528> ?p ?o ?g. }
- W2894933528 endingPage "1783" @default.
- W2894933528 startingPage "1783" @default.
- W2894933528 abstract "In order to study the bubble morphology, a novel experimental and numerical approach was implemented in this research focusing on the analysis of a transparent throttle valve made by Polymethylmethacrylate (PMMA) material. A feature-based algorithm was written using the MATLAB software, allowing the 2D detection and three-dimensional (3D) reconstruction of bubbles: collapsing and clustered ones. The valve core, being an important part of the throttle valve, was exposed to cavitation; hence, to distinguish it from the captured frames, the faster region-based convolutional neural network (R-CNN) algorithm was used to detect its morphology. Additionally, the main approach grouping the above listed techniques was implemented using an optimized virtual stereo vision arrangement of one camera and five plane mirrors. The results obtained during this study validated the robust algorithms and optimization applied." @default.
- W2894933528 created "2018-10-12" @default.
- W2894933528 creator A5003491781 @default.
- W2894933528 creator A5014092608 @default.
- W2894933528 creator A5040978843 @default.
- W2894933528 creator A5059898709 @default.
- W2894933528 date "2018-10-01" @default.
- W2894933528 modified "2023-10-17" @default.
- W2894933528 title "A Novel One-Camera-Five-Mirror Three-Dimensional Imaging Method for Reconstructing the Cavitation Bubble Cluster in a Water Hydraulic Valve" @default.
- W2894933528 cites W1899998899 @default.
- W2894933528 cites W1965713543 @default.
- W2894933528 cites W1966193070 @default.
- W2894933528 cites W1966394605 @default.
- W2894933528 cites W1972224094 @default.
- W2894933528 cites W1972875638 @default.
- W2894933528 cites W1992919905 @default.
- W2894933528 cites W2008917588 @default.
- W2894933528 cites W2019730169 @default.
- W2894933528 cites W2022510223 @default.
- W2894933528 cites W2026043899 @default.
- W2894933528 cites W2035583985 @default.
- W2894933528 cites W2043095730 @default.
- W2894933528 cites W2050402924 @default.
- W2894933528 cites W2072163967 @default.
- W2894933528 cites W2072261902 @default.
- W2894933528 cites W2075897710 @default.
- W2894933528 cites W2080953448 @default.
- W2894933528 cites W2086728395 @default.
- W2894933528 cites W2089119772 @default.
- W2894933528 cites W2096126799 @default.
- W2894933528 cites W2099942710 @default.
- W2894933528 cites W2133402911 @default.
- W2894933528 cites W2135131677 @default.
- W2894933528 cites W2213101661 @default.
- W2894933528 cites W2283997825 @default.
- W2894933528 cites W2291585134 @default.
- W2894933528 cites W2340848613 @default.
- W2894933528 cites W2347025590 @default.
- W2894933528 cites W2546500916 @default.
- W2894933528 cites W2548111444 @default.
- W2894933528 cites W2773893235 @default.
- W2894933528 cites W2781607843 @default.
- W2894933528 cites W2788212813 @default.
- W2894933528 cites W2790868365 @default.
- W2894933528 cites W2797246910 @default.
- W2894933528 cites W2803906030 @default.
- W2894933528 cites W3164333298 @default.
- W2894933528 cites W3209067769 @default.
- W2894933528 cites W4248686578 @default.
- W2894933528 cites W579351831 @default.
- W2894933528 cites W639708223 @default.
- W2894933528 doi "https://doi.org/10.3390/app8101783" @default.
- W2894933528 hasPublicationYear "2018" @default.
- W2894933528 type Work @default.
- W2894933528 sameAs 2894933528 @default.
- W2894933528 citedByCount "6" @default.
- W2894933528 countsByYear W28949335282019 @default.
- W2894933528 countsByYear W28949335282020 @default.
- W2894933528 countsByYear W28949335282023 @default.
- W2894933528 crossrefType "journal-article" @default.
- W2894933528 hasAuthorship W2894933528A5003491781 @default.
- W2894933528 hasAuthorship W2894933528A5014092608 @default.
- W2894933528 hasAuthorship W2894933528A5040978843 @default.
- W2894933528 hasAuthorship W2894933528A5059898709 @default.
- W2894933528 hasBestOaLocation W28949335281 @default.
- W2894933528 hasConcept C121332964 @default.
- W2894933528 hasConcept C127413603 @default.
- W2894933528 hasConcept C154945302 @default.
- W2894933528 hasConcept C157915830 @default.
- W2894933528 hasConcept C173608175 @default.
- W2894933528 hasConcept C207057113 @default.
- W2894933528 hasConcept C24890656 @default.
- W2894933528 hasConcept C31972630 @default.
- W2894933528 hasConcept C41008148 @default.
- W2894933528 hasConcept C72971556 @default.
- W2894933528 hasConcept C78519656 @default.
- W2894933528 hasConcept C81363708 @default.
- W2894933528 hasConceptScore W2894933528C121332964 @default.
- W2894933528 hasConceptScore W2894933528C127413603 @default.
- W2894933528 hasConceptScore W2894933528C154945302 @default.
- W2894933528 hasConceptScore W2894933528C157915830 @default.
- W2894933528 hasConceptScore W2894933528C173608175 @default.
- W2894933528 hasConceptScore W2894933528C207057113 @default.
- W2894933528 hasConceptScore W2894933528C24890656 @default.
- W2894933528 hasConceptScore W2894933528C31972630 @default.
- W2894933528 hasConceptScore W2894933528C41008148 @default.
- W2894933528 hasConceptScore W2894933528C72971556 @default.
- W2894933528 hasConceptScore W2894933528C78519656 @default.
- W2894933528 hasConceptScore W2894933528C81363708 @default.
- W2894933528 hasFunder F4320323085 @default.
- W2894933528 hasIssue "10" @default.
- W2894933528 hasLocation W28949335281 @default.
- W2894933528 hasOpenAccess W2894933528 @default.
- W2894933528 hasPrimaryLocation W28949335281 @default.
- W2894933528 hasRelatedWork W2073630088 @default.
- W2894933528 hasRelatedWork W2094750537 @default.
- W2894933528 hasRelatedWork W2130830181 @default.
- W2894933528 hasRelatedWork W2368511190 @default.