Matches in SemOpenAlex for { <https://semopenalex.org/work/W2091491470> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W2091491470 endingPage "627" @default.
- W2091491470 startingPage "618" @default.
- W2091491470 abstract "In this paper a novel and scientific vehicle classification method is proposed, which is used on a new single-point magnetic sensor. The original waveform is transformed into numerical format by the data fusion technology for feature extraction. The extracted feature subsets are evaluated by Filter-Filter-Wrapper model, and then the nonredundant feature subset which fully reflects the difference of various vehicle types and is adaptable to the vehicle classifier is determined. On the basis of the optimal feature subset, this paper provides a novel vehicle classification algorithm based on Clustering Support Vector Machines(C-SVM). Particle Swarm Optimization (PSO) is used to search the optimal kernel parameter and slack penalty parameter. The cross-validation result of 460 samples shows that the classification rate of proposed vehicle classification method is better than 99%. It demonstrates that the vehicle classification method would be able to enhance efficiency of data mining, capability of machine learning and accuracy of vehicle classification." @default.
- W2091491470 created "2016-06-24" @default.
- W2091491470 creator A5004514343 @default.
- W2091491470 creator A5019035338 @default.
- W2091491470 creator A5054439790 @default.
- W2091491470 date "2012-01-01" @default.
- W2091491470 modified "2023-09-26" @default.
- W2091491470 title "Vehicle Classification Method Based on Single-Point Magnetic Sensor" @default.
- W2091491470 cites W1500895378 @default.
- W2091491470 cites W1583700199 @default.
- W2091491470 cites W2026007872 @default.
- W2091491470 cites W2139212933 @default.
- W2091491470 cites W2152195021 @default.
- W2091491470 doi "https://doi.org/10.1016/j.sbspro.2012.04.135" @default.
- W2091491470 hasPublicationYear "2012" @default.
- W2091491470 type Work @default.
- W2091491470 sameAs 2091491470 @default.
- W2091491470 citedByCount "13" @default.
- W2091491470 countsByYear W20914914702013 @default.
- W2091491470 countsByYear W20914914702014 @default.
- W2091491470 countsByYear W20914914702015 @default.
- W2091491470 countsByYear W20914914702017 @default.
- W2091491470 countsByYear W20914914702018 @default.
- W2091491470 countsByYear W20914914702019 @default.
- W2091491470 countsByYear W20914914702022 @default.
- W2091491470 countsByYear W20914914702023 @default.
- W2091491470 crossrefType "journal-article" @default.
- W2091491470 hasAuthorship W2091491470A5004514343 @default.
- W2091491470 hasAuthorship W2091491470A5019035338 @default.
- W2091491470 hasAuthorship W2091491470A5054439790 @default.
- W2091491470 hasBestOaLocation W20914914701 @default.
- W2091491470 hasConcept C119857082 @default.
- W2091491470 hasConcept C12267149 @default.
- W2091491470 hasConcept C124101348 @default.
- W2091491470 hasConcept C138885662 @default.
- W2091491470 hasConcept C153180895 @default.
- W2091491470 hasConcept C154945302 @default.
- W2091491470 hasConcept C2776401178 @default.
- W2091491470 hasConcept C33954974 @default.
- W2091491470 hasConcept C41008148 @default.
- W2091491470 hasConcept C41895202 @default.
- W2091491470 hasConcept C52622490 @default.
- W2091491470 hasConcept C73555534 @default.
- W2091491470 hasConcept C85617194 @default.
- W2091491470 hasConcept C95623464 @default.
- W2091491470 hasConceptScore W2091491470C119857082 @default.
- W2091491470 hasConceptScore W2091491470C12267149 @default.
- W2091491470 hasConceptScore W2091491470C124101348 @default.
- W2091491470 hasConceptScore W2091491470C138885662 @default.
- W2091491470 hasConceptScore W2091491470C153180895 @default.
- W2091491470 hasConceptScore W2091491470C154945302 @default.
- W2091491470 hasConceptScore W2091491470C2776401178 @default.
- W2091491470 hasConceptScore W2091491470C33954974 @default.
- W2091491470 hasConceptScore W2091491470C41008148 @default.
- W2091491470 hasConceptScore W2091491470C41895202 @default.
- W2091491470 hasConceptScore W2091491470C52622490 @default.
- W2091491470 hasConceptScore W2091491470C73555534 @default.
- W2091491470 hasConceptScore W2091491470C85617194 @default.
- W2091491470 hasConceptScore W2091491470C95623464 @default.
- W2091491470 hasLocation W20914914701 @default.
- W2091491470 hasOpenAccess W2091491470 @default.
- W2091491470 hasPrimaryLocation W20914914701 @default.
- W2091491470 hasRelatedWork W2041636156 @default.
- W2091491470 hasRelatedWork W2124109643 @default.
- W2091491470 hasRelatedWork W2126100045 @default.
- W2091491470 hasRelatedWork W2160451891 @default.
- W2091491470 hasRelatedWork W2336974148 @default.
- W2091491470 hasRelatedWork W2381773606 @default.
- W2091491470 hasRelatedWork W2563096758 @default.
- W2091491470 hasRelatedWork W4225360039 @default.
- W2091491470 hasRelatedWork W2187500075 @default.
- W2091491470 hasRelatedWork W2345184372 @default.
- W2091491470 hasVolume "43" @default.
- W2091491470 isParatext "false" @default.
- W2091491470 isRetracted "false" @default.
- W2091491470 magId "2091491470" @default.
- W2091491470 workType "article" @default.