FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2808278972> ?p ?o ?g. }

• W2808278972 endingPage "1909" @default.
• W2808278972 startingPage "1909" @default.
• W2808278972 abstract "In this paper, a novel feature selection and fusion framework is proposed to enhance the discrimination ability of gas sensor arrays for odor identification. Firstly, we put forward an efficient feature selection method based on the separability and the dissimilarity to determine the feature selection order for each type of feature when increasing the dimension of selected feature subsets. Secondly, the K-nearest neighbor (KNN) classifier is applied to determine the dimensions of the optimal feature subsets for different types of features. Finally, in the process of establishing features fusion, we come up with a classification dominance feature fusion strategy which conducts an effective basic feature. Experimental results on two datasets show that the recognition rates of Database I and Database II achieve 97.5% and 80.11%, respectively, when k = 1 for KNN classifier and the distance metric is correlation distance (COR), which demonstrates the superiority of the proposed feature selection and fusion framework in representing signal features. The novel feature selection method proposed in this paper can effectively select feature subsets that are conducive to the classification, while the feature fusion framework can fuse various features which describe the different characteristics of sensor signals, for enhancing the discrimination ability of gas sensors and, to a certain extent, suppressing drift effect." @default.
• W2808278972 created "2018-06-21" @default.
• W2808278972 creator A5000988425 @default.
• W2808278972 creator A5007091769 @default.
• W2808278972 creator A5008310613 @default.
• W2808278972 creator A5030424204 @default.
• W2808278972 creator A5045959536 @default.
• W2808278972 creator A5072150806 @default.
• W2808278972 creator A5076991996 @default.
• W2808278972 date "2018-06-12" @default.
• W2808278972 modified "2023-10-16" @default.
• W2808278972 title "Enhancing the Discrimination Ability of a Gas Sensor Array Based on a Novel Feature Selection and Fusion Framework" @default.
• W2808278972 cites W1623146094 @default.
• W2808278972 cites W1970256917 @default.
• W2808278972 cites W1973163442 @default.
• W2808278972 cites W1981810007 @default.
• W2808278972 cites W1985023431 @default.
• W2808278972 cites W1996438976 @default.
• W2808278972 cites W2007952929 @default.
• W2808278972 cites W2017337590 @default.
• W2808278972 cites W2020089616 @default.
• W2808278972 cites W2022851810 @default.
• W2808278972 cites W2036206885 @default.
• W2808278972 cites W2039222602 @default.
• W2808278972 cites W2040321208 @default.
• W2808278972 cites W2051701188 @default.
• W2808278972 cites W2055614464 @default.
• W2808278972 cites W2069092570 @default.
• W2808278972 cites W2071136596 @default.
• W2808278972 cites W2089282851 @default.
• W2808278972 cites W2093330655 @default.
• W2808278972 cites W2106812835 @default.
• W2808278972 cites W2134499049 @default.
• W2808278972 cites W2154053567 @default.
• W2808278972 cites W2313826988 @default.
• W2808278972 cites W2346331195 @default.
• W2808278972 cites W2347415798 @default.
• W2808278972 cites W2609400668 @default.
• W2808278972 cites W2610410118 @default.
• W2808278972 cites W2770886451 @default.
• W2808278972 cites W2791002615 @default.
• W2808278972 cites W2794068363 @default.
• W2808278972 cites W2794253442 @default.
• W2808278972 cites W2800366069 @default.
• W2808278972 doi "https://doi.org/10.3390/s18061909" @default.
• W2808278972 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6021920" @default.
• W2808278972 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29895771" @default.
• W2808278972 hasPublicationYear "2018" @default.
• W2808278972 type Work @default.
• W2808278972 sameAs 2808278972 @default.
• W2808278972 citedByCount "14" @default.
• W2808278972 countsByYear W28082789722018 @default.
• W2808278972 countsByYear W28082789722019 @default.
• W2808278972 countsByYear W28082789722020 @default.
• W2808278972 countsByYear W28082789722021 @default.
• W2808278972 countsByYear W28082789722022 @default.
• W2808278972 countsByYear W28082789722023 @default.
• W2808278972 crossrefType "journal-article" @default.
• W2808278972 hasAuthorship W2808278972A5000988425 @default.
• W2808278972 hasAuthorship W2808278972A5007091769 @default.
• W2808278972 hasAuthorship W2808278972A5008310613 @default.
• W2808278972 hasAuthorship W2808278972A5030424204 @default.
• W2808278972 hasAuthorship W2808278972A5045959536 @default.
• W2808278972 hasAuthorship W2808278972A5072150806 @default.
• W2808278972 hasAuthorship W2808278972A5076991996 @default.
• W2808278972 hasBestOaLocation W28082789721 @default.
• W2808278972 hasConcept C113238511 @default.
• W2808278972 hasConcept C124101348 @default.
• W2808278972 hasConcept C138885662 @default.
• W2808278972 hasConcept C148483581 @default.
• W2808278972 hasConcept C153180895 @default.
• W2808278972 hasConcept C154945302 @default.
• W2808278972 hasConcept C158525013 @default.
• W2808278972 hasConcept C2776401178 @default.
• W2808278972 hasConcept C41008148 @default.
• W2808278972 hasConcept C41895202 @default.
• W2808278972 hasConcept C70518039 @default.
• W2808278972 hasConcept C95623464 @default.
• W2808278972 hasConceptScore W2808278972C113238511 @default.
• W2808278972 hasConceptScore W2808278972C124101348 @default.
• W2808278972 hasConceptScore W2808278972C138885662 @default.
• W2808278972 hasConceptScore W2808278972C148483581 @default.
• W2808278972 hasConceptScore W2808278972C153180895 @default.
• W2808278972 hasConceptScore W2808278972C154945302 @default.
• W2808278972 hasConceptScore W2808278972C158525013 @default.
• W2808278972 hasConceptScore W2808278972C2776401178 @default.
• W2808278972 hasConceptScore W2808278972C41008148 @default.
• W2808278972 hasConceptScore W2808278972C41895202 @default.
• W2808278972 hasConceptScore W2808278972C70518039 @default.
• W2808278972 hasConceptScore W2808278972C95623464 @default.
• W2808278972 hasFunder F4320321001 @default.
• W2808278972 hasIssue "6" @default.
• W2808278972 hasLocation W28082789721 @default.
• W2808278972 hasLocation W28082789722 @default.
• W2808278972 hasLocation W28082789723 @default.
• W2808278972 hasLocation W28082789724 @default.
• W2808278972 hasLocation W28082789725 @default.
• W2808278972 hasOpenAccess W2808278972 @default.

• next