FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2922017402> ?p ?o ?g. }

• W2922017402 endingPage "1085" @default.
• W2922017402 startingPage "1085" @default.
• W2922017402 abstract "To ensure the quality and reliability of polymer lithium-ion battery (PLB), automatic blister defect detection instead of manual detection is developed in the production of PLB cell sheets. A convolutional neural network (CNN) based detection method is proposed to detect blister in cell sheets employing cell sheet images. An improved architecture for dense block and a learning method based on optimization of learning rate are discussed. The proposed method was superior to other machine learning based methods when the classification performance and confusion matrix were compared in experiments. The proposed CNN method had the best defect detection performance and real-time performance for industry field application." @default.
• W2922017402 created "2019-03-22" @default.
• W2922017402 creator A5023146765 @default.
• W2922017402 creator A5064222660 @default.
• W2922017402 creator A5071697996 @default.
• W2922017402 date "2019-03-14" @default.
• W2922017402 modified "2023-09-30" @default.
• W2922017402 title "Blister Defect Detection Based on Convolutional Neural Network for Polymer Lithium-Ion Battery" @default.
• W2922017402 cites W1191094284 @default.
• W2922017402 cites W1548886834 @default.
• W2922017402 cites W1972645483 @default.
• W2922017402 cites W1974719540 @default.
• W2922017402 cites W1987734421 @default.
• W2922017402 cites W2086695269 @default.
• W2922017402 cites W2090006023 @default.
• W2922017402 cites W2122699621 @default.
• W2922017402 cites W2131173378 @default.
• W2922017402 cites W2146439308 @default.
• W2922017402 cites W2172326626 @default.
• W2922017402 cites W2189494241 @default.
• W2922017402 cites W2210331589 @default.
• W2922017402 cites W2253429366 @default.
• W2922017402 cites W2281997572 @default.
• W2922017402 cites W2334731071 @default.
• W2922017402 cites W2468676150 @default.
• W2922017402 cites W2516567929 @default.
• W2922017402 cites W2562995615 @default.
• W2922017402 cites W2569533844 @default.
• W2922017402 cites W2588963594 @default.
• W2922017402 cites W2604800736 @default.
• W2922017402 cites W2610943632 @default.
• W2922017402 cites W2620016733 @default.
• W2922017402 cites W2622826443 @default.
• W2922017402 cites W2624543473 @default.
• W2922017402 cites W2757455114 @default.
• W2922017402 cites W2765608906 @default.
• W2922017402 cites W2765854388 @default.
• W2922017402 cites W2790214586 @default.
• W2922017402 cites W2793758168 @default.
• W2922017402 cites W2794284562 @default.
• W2922017402 cites W2798220682 @default.
• W2922017402 cites W2804021303 @default.
• W2922017402 cites W2884970625 @default.
• W2922017402 cites W2885532607 @default.
• W2922017402 cites W2890747436 @default.
• W2922017402 cites W2891336752 @default.
• W2922017402 cites W2892341857 @default.
• W2922017402 cites W2895319842 @default.
• W2922017402 cites W2903043221 @default.
• W2922017402 cites W2908804667 @default.
• W2922017402 cites W2911358782 @default.
• W2922017402 cites W2919115771 @default.
• W2922017402 cites W3148268603 @default.
• W2922017402 cites W4252049600 @default.
• W2922017402 doi "https://doi.org/10.3390/app9061085" @default.
• W2922017402 hasPublicationYear "2019" @default.
• W2922017402 type Work @default.
• W2922017402 sameAs 2922017402 @default.
• W2922017402 citedByCount "41" @default.
• W2922017402 countsByYear W29220174022019 @default.
• W2922017402 countsByYear W29220174022020 @default.
• W2922017402 countsByYear W29220174022021 @default.
• W2922017402 countsByYear W29220174022022 @default.
• W2922017402 countsByYear W29220174022023 @default.
• W2922017402 crossrefType "journal-article" @default.
• W2922017402 hasAuthorship W2922017402A5023146765 @default.
• W2922017402 hasAuthorship W2922017402A5064222660 @default.
• W2922017402 hasAuthorship W2922017402A5071697996 @default.
• W2922017402 hasBestOaLocation W29220174021 @default.
• W2922017402 hasConcept C11171543 @default.
• W2922017402 hasConcept C121332964 @default.
• W2922017402 hasConcept C138602881 @default.
• W2922017402 hasConcept C153180895 @default.
• W2922017402 hasConcept C154945302 @default.
• W2922017402 hasConcept C15744967 @default.
• W2922017402 hasConcept C163258240 @default.
• W2922017402 hasConcept C192562407 @default.
• W2922017402 hasConcept C2524010 @default.
• W2922017402 hasConcept C2777210771 @default.
• W2922017402 hasConcept C2781140086 @default.
• W2922017402 hasConcept C33923547 @default.
• W2922017402 hasConcept C41008148 @default.
• W2922017402 hasConcept C43214815 @default.
• W2922017402 hasConcept C555008776 @default.
• W2922017402 hasConcept C62520636 @default.
• W2922017402 hasConcept C81363708 @default.
• W2922017402 hasConceptScore W2922017402C11171543 @default.
• W2922017402 hasConceptScore W2922017402C121332964 @default.
• W2922017402 hasConceptScore W2922017402C138602881 @default.
• W2922017402 hasConceptScore W2922017402C153180895 @default.
• W2922017402 hasConceptScore W2922017402C154945302 @default.
• W2922017402 hasConceptScore W2922017402C15744967 @default.
• W2922017402 hasConceptScore W2922017402C163258240 @default.
• W2922017402 hasConceptScore W2922017402C192562407 @default.
• W2922017402 hasConceptScore W2922017402C2524010 @default.
• W2922017402 hasConceptScore W2922017402C2777210771 @default.
• W2922017402 hasConceptScore W2922017402C2781140086 @default.
• W2922017402 hasConceptScore W2922017402C33923547 @default.

• next