Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308866565> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4308866565 endingPage "152" @default.
- W4308866565 startingPage "152" @default.
- W4308866565 abstract "Crack is a condition indicator of the pavement’s structure. Generally, crack detection is an essential task for effective diagnosis of the road network. Moreover, evaluation of road quality is necessary to ensure traffic security. Since 2011, a periodic survey of approximately 57,500 km of Moroccan roads has been performed using an inspection vehicle (SMAC) which is equipped with high resolution cameras and GPS/DGPS receivers. Until recently, the teams of the National Center for Road Studies and Research (CNER) analyzed road surface states by visualization of pavement surface image sequences captured by the Multifunctional Pavement Assessment System (SMAC) in order to detect defects in road surfaces and classify them according to their type. However, this method involves manual processing and is complex, time consuming and subjective. In this paper, we propose an automated methodology for crack detection and classification in Moroccan flexible pavements using Convolutional Neural Networks (CNN). Transfer learning is also applied by testing a pre-trained Visual Geometry Group 19 (VGG-19) model. For the dataset used in this paper, the results indicate that good crack detection and classification are achieved using both models." @default.
- W4308866565 created "2022-11-18" @default.
- W4308866565 creator A5026924463 @default.
- W4308866565 creator A5039165679 @default.
- W4308866565 creator A5068965599 @default.
- W4308866565 creator A5078424356 @default.
- W4308866565 date "2022-11-10" @default.
- W4308866565 modified "2023-10-01" @default.
- W4308866565 title "Crack Detection and Classification in Moroccan Pavement Using Convolutional Neural Network" @default.
- W4308866565 cites W2147800946 @default.
- W4308866565 cites W2735386636 @default.
- W4308866565 cites W2899242765 @default.
- W4308866565 cites W2905163589 @default.
- W4308866565 cites W3005498204 @default.
- W4308866565 cites W3010717703 @default.
- W4308866565 cites W3011272259 @default.
- W4308866565 cites W3021470593 @default.
- W4308866565 cites W3105421998 @default.
- W4308866565 cites W3124942917 @default.
- W4308866565 cites W3170407091 @default.
- W4308866565 cites W3174769937 @default.
- W4308866565 cites W3193768753 @default.
- W4308866565 cites W3202309904 @default.
- W4308866565 cites W3217354104 @default.
- W4308866565 cites W4200218075 @default.
- W4308866565 cites W4210746697 @default.
- W4308866565 cites W4211086596 @default.
- W4308866565 cites W4281254198 @default.
- W4308866565 doi "https://doi.org/10.3390/infrastructures7110152" @default.
- W4308866565 hasPublicationYear "2022" @default.
- W4308866565 type Work @default.
- W4308866565 citedByCount "5" @default.
- W4308866565 countsByYear W43088665652022 @default.
- W4308866565 countsByYear W43088665652023 @default.
- W4308866565 crossrefType "journal-article" @default.
- W4308866565 hasAuthorship W4308866565A5026924463 @default.
- W4308866565 hasAuthorship W4308866565A5039165679 @default.
- W4308866565 hasAuthorship W4308866565A5068965599 @default.
- W4308866565 hasAuthorship W4308866565A5078424356 @default.
- W4308866565 hasBestOaLocation W43088665651 @default.
- W4308866565 hasConcept C127413603 @default.
- W4308866565 hasConcept C147176958 @default.
- W4308866565 hasConcept C150899416 @default.
- W4308866565 hasConcept C154945302 @default.
- W4308866565 hasConcept C168820333 @default.
- W4308866565 hasConcept C201995342 @default.
- W4308866565 hasConcept C2780042925 @default.
- W4308866565 hasConcept C2780451532 @default.
- W4308866565 hasConcept C31972630 @default.
- W4308866565 hasConcept C36464697 @default.
- W4308866565 hasConcept C41008148 @default.
- W4308866565 hasConcept C50644808 @default.
- W4308866565 hasConcept C60229501 @default.
- W4308866565 hasConcept C76155785 @default.
- W4308866565 hasConcept C81363708 @default.
- W4308866565 hasConceptScore W4308866565C127413603 @default.
- W4308866565 hasConceptScore W4308866565C147176958 @default.
- W4308866565 hasConceptScore W4308866565C150899416 @default.
- W4308866565 hasConceptScore W4308866565C154945302 @default.
- W4308866565 hasConceptScore W4308866565C168820333 @default.
- W4308866565 hasConceptScore W4308866565C201995342 @default.
- W4308866565 hasConceptScore W4308866565C2780042925 @default.
- W4308866565 hasConceptScore W4308866565C2780451532 @default.
- W4308866565 hasConceptScore W4308866565C31972630 @default.
- W4308866565 hasConceptScore W4308866565C36464697 @default.
- W4308866565 hasConceptScore W4308866565C41008148 @default.
- W4308866565 hasConceptScore W4308866565C50644808 @default.
- W4308866565 hasConceptScore W4308866565C60229501 @default.
- W4308866565 hasConceptScore W4308866565C76155785 @default.
- W4308866565 hasConceptScore W4308866565C81363708 @default.
- W4308866565 hasIssue "11" @default.
- W4308866565 hasLocation W43088665651 @default.
- W4308866565 hasLocation W43088665652 @default.
- W4308866565 hasOpenAccess W4308866565 @default.
- W4308866565 hasPrimaryLocation W43088665651 @default.
- W4308866565 hasRelatedWork W3012393889 @default.
- W4308866565 hasRelatedWork W3012459282 @default.
- W4308866565 hasRelatedWork W3018421652 @default.
- W4308866565 hasRelatedWork W3021430260 @default.
- W4308866565 hasRelatedWork W3091976719 @default.
- W4308866565 hasRelatedWork W3135818718 @default.
- W4308866565 hasRelatedWork W3192840557 @default.
- W4308866565 hasRelatedWork W4220996320 @default.
- W4308866565 hasRelatedWork W4285149559 @default.
- W4308866565 hasRelatedWork W4366224123 @default.
- W4308866565 hasVolume "7" @default.
- W4308866565 isParatext "false" @default.
- W4308866565 isRetracted "false" @default.
- W4308866565 workType "article" @default.