FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2093585008> ?p ?o ?g. }

• W2093585008 endingPage "50" @default.
• W2093585008 startingPage "41" @default.
• W2093585008 abstract "Cabbage caterpillar infestation of oilseed rape will leave wormholes on leaves. The percentage of wormholes' area on leaf is an effective index to evaluate infestation seriousness. Hyperspectral imaging technology can be used to extract leaf from non-vegetation objects efficiently. Wormhole reconstruction can then be carried out for counting the wormholes' area. The reconstruction of wormholes that are entirely within the leaf contour can be easily processed by holes filling function. However, it is difficult to process wormholes at the edge of a leaf. A novel location factor and an improved genetic-wavelet neural network reconstruction algorithm (G-WNNRA) have been proposed in this paper to process wormholes at the edge of a leaf. For the edge of a damaged leaf, the infested part represented by a hole at the edge and non-infested part should be distinguished automatically. Thus the novel location factor which was based on the first derivative of inverse function was used to develop test function for locating the infested part. Then the proposed G-WNNRA was constructed to reconstruct the missing part of an edge following the step of learning the non-infested part of the edge. The topologicalstructure and parameters of the G-WNNRA was optimized by genetic algorithm and morlet wavelet function was applied as a transfer function. The points on non-infested part of edge were adopted as the training data set and the missing part of the edge were predicted. During the prediction, the points making up the reconstructed edge were chosen based on the output of the G-WNNRA. For performance comparison, wavelet neural network (WNN), genetic neural network (GNN) and back propagation neural network (BPNN) were tested on infested oilseed rape leaves and the RMSE of G-WNNRA was smaller than those of WNN, GNN and BPNN. The proposed location algorithm and G-WNNRA can be combined to reconstruct infested oilseed rape leaves." @default.
• W2093585008 created "2016-06-24" @default.
• W2093585008 creator A5039477889 @default.
• W2093585008 creator A5056177385 @default.
• W2093585008 creator A5059525096 @default.
• W2093585008 date "2012-11-01" @default.
• W2093585008 modified "2023-10-02" @default.
• W2093585008 title "A novel algorithm for damage recognition on pest-infested oilseed rape leaves" @default.
• W2093585008 cites W1965439201 @default.
• W2093585008 cites W1968401762 @default.
• W2093585008 cites W1969447824 @default.
• W2093585008 cites W1974111015 @default.
• W2093585008 cites W1974602478 @default.
• W2093585008 cites W1983237169 @default.
• W2093585008 cites W1986853687 @default.
• W2093585008 cites W1988226024 @default.
• W2093585008 cites W2008027779 @default.
• W2093585008 cites W2011563921 @default.
• W2093585008 cites W2019064710 @default.
• W2093585008 cites W2020002769 @default.
• W2093585008 cites W2023863000 @default.
• W2093585008 cites W2027459748 @default.
• W2093585008 cites W2037647937 @default.
• W2093585008 cites W2044594055 @default.
• W2093585008 cites W2054752587 @default.
• W2093585008 cites W2055485030 @default.
• W2093585008 cites W2085414597 @default.
• W2093585008 cites W2089040011 @default.
• W2093585008 cites W2090514251 @default.
• W2093585008 cites W2111939701 @default.
• W2093585008 cites W2115501365 @default.
• W2093585008 cites W2123367900 @default.
• W2093585008 cites W2127002222 @default.
• W2093585008 cites W2147199167 @default.
• W2093585008 cites W2151323162 @default.
• W2093585008 cites W2169808741 @default.
• W2093585008 cites W2172324371 @default.
• W2093585008 cites W2176838439 @default.
• W2093585008 doi "https://doi.org/10.1016/j.compag.2012.07.014" @default.
• W2093585008 hasPublicationYear "2012" @default.
• W2093585008 type Work @default.
• W2093585008 sameAs 2093585008 @default.
• W2093585008 citedByCount "19" @default.
• W2093585008 countsByYear W20935850082012 @default.
• W2093585008 countsByYear W20935850082014 @default.
• W2093585008 countsByYear W20935850082015 @default.
• W2093585008 countsByYear W20935850082016 @default.
• W2093585008 countsByYear W20935850082017 @default.
• W2093585008 countsByYear W20935850082018 @default.
• W2093585008 countsByYear W20935850082019 @default.
• W2093585008 countsByYear W20935850082021 @default.
• W2093585008 countsByYear W20935850082022 @default.
• W2093585008 countsByYear W20935850082023 @default.
• W2093585008 crossrefType "journal-article" @default.
• W2093585008 hasAuthorship W2093585008A5039477889 @default.
• W2093585008 hasAuthorship W2093585008A5056177385 @default.
• W2093585008 hasAuthorship W2093585008A5059525096 @default.
• W2093585008 hasConcept C11413529 @default.
• W2093585008 hasConcept C144027150 @default.
• W2093585008 hasConcept C154945302 @default.
• W2093585008 hasConcept C22508944 @default.
• W2093585008 hasConcept C41008148 @default.
• W2093585008 hasConcept C6557445 @default.
• W2093585008 hasConcept C86803240 @default.
• W2093585008 hasConceptScore W2093585008C11413529 @default.
• W2093585008 hasConceptScore W2093585008C144027150 @default.
• W2093585008 hasConceptScore W2093585008C154945302 @default.
• W2093585008 hasConceptScore W2093585008C22508944 @default.
• W2093585008 hasConceptScore W2093585008C41008148 @default.
• W2093585008 hasConceptScore W2093585008C6557445 @default.
• W2093585008 hasConceptScore W2093585008C86803240 @default.
• W2093585008 hasLocation W20935850081 @default.
• W2093585008 hasOpenAccess W2093585008 @default.
• W2093585008 hasPrimaryLocation W20935850081 @default.
• W2093585008 hasRelatedWork W2111638576 @default.
• W2093585008 hasRelatedWork W2114818020 @default.
• W2093585008 hasRelatedWork W2333698505 @default.
• W2093585008 hasRelatedWork W2351491280 @default.
• W2093585008 hasRelatedWork W2371447506 @default.
• W2093585008 hasRelatedWork W2386767533 @default.
• W2093585008 hasRelatedWork W303980170 @default.
• W2093585008 hasRelatedWork W3107474891 @default.
• W2093585008 hasRelatedWork W3189907409 @default.
• W2093585008 hasRelatedWork W2976138276 @default.
• W2093585008 hasVolume "89" @default.
• W2093585008 isParatext "false" @default.
• W2093585008 isRetracted "false" @default.
• W2093585008 magId "2093585008" @default.
• W2093585008 workType "article" @default.