Matches in SemOpenAlex for { <https://semopenalex.org/work/W4317496690> ?p ?o ?g. }
- W4317496690 endingPage "3461" @default.
- W4317496690 startingPage "3453" @default.
- W4317496690 abstract "The evaluation of oil shale is significant to oil and gas exploration. Electronic nose (E-nose) has excellent odor recognition characteristics and can be used as a potential tool for oil content recognition. In this article, the odor samples of Huadian and Wangqing oil shale with different oil contents were obtained, and the recognition ability and feasibility of E-nose on oil content were investigated for the first time. More comprehensive information of oil shale was obtained by using transient and steady-state fusion feature (TAS) extraction method, which improves the recognition rate, and the influence of feature extraction methods and temperatures on oil content recognition were further discussed. The experimental results show that the E-nose combined with the proposed feature extraction method can realize the rapid in situ recognition of oil content at low temperatures. This work will help to propose more effective methods for the evaluation and development of oil shale." @default.
- W4317496690 created "2023-01-20" @default.
- W4317496690 creator A5008052458 @default.
- W4317496690 creator A5034024352 @default.
- W4317496690 creator A5041454382 @default.
- W4317496690 creator A5070315286 @default.
- W4317496690 creator A5073169257 @default.
- W4317496690 creator A5075666858 @default.
- W4317496690 date "2023-02-15" @default.
- W4317496690 modified "2023-10-17" @default.
- W4317496690 title "Recognition of Oil Content for Oil Shale by Electronic Nose Based on Transient and Steady-State Fusion Feature Extraction Method" @default.
- W4317496690 cites W1529948776 @default.
- W4317496690 cites W1936882555 @default.
- W4317496690 cites W1960277805 @default.
- W4317496690 cites W1970975061 @default.
- W4317496690 cites W1979416242 @default.
- W4317496690 cites W1979562979 @default.
- W4317496690 cites W1985288104 @default.
- W4317496690 cites W1996981370 @default.
- W4317496690 cites W2004350927 @default.
- W4317496690 cites W2010548668 @default.
- W4317496690 cites W2023653073 @default.
- W4317496690 cites W2046950815 @default.
- W4317496690 cites W2052448068 @default.
- W4317496690 cites W2054341846 @default.
- W4317496690 cites W2096121419 @default.
- W4317496690 cites W2101207781 @default.
- W4317496690 cites W2136310313 @default.
- W4317496690 cites W2136948582 @default.
- W4317496690 cites W2152892411 @default.
- W4317496690 cites W2166858657 @default.
- W4317496690 cites W2171609561 @default.
- W4317496690 cites W2592809123 @default.
- W4317496690 cites W2758666671 @default.
- W4317496690 cites W2887724546 @default.
- W4317496690 cites W2928832546 @default.
- W4317496690 cites W2972102665 @default.
- W4317496690 cites W2997651532 @default.
- W4317496690 cites W3091935377 @default.
- W4317496690 cites W3095173048 @default.
- W4317496690 cites W3216955569 @default.
- W4317496690 cites W38683010 @default.
- W4317496690 cites W4200234407 @default.
- W4317496690 cites W4214818687 @default.
- W4317496690 cites W4285270882 @default.
- W4317496690 cites W4312229478 @default.
- W4317496690 cites W4312705019 @default.
- W4317496690 cites W4312921282 @default.
- W4317496690 doi "https://doi.org/10.1109/jsen.2023.3236326" @default.
- W4317496690 hasPublicationYear "2023" @default.
- W4317496690 type Work @default.
- W4317496690 citedByCount "0" @default.
- W4317496690 crossrefType "journal-article" @default.
- W4317496690 hasAuthorship W4317496690A5008052458 @default.
- W4317496690 hasAuthorship W4317496690A5034024352 @default.
- W4317496690 hasAuthorship W4317496690A5041454382 @default.
- W4317496690 hasAuthorship W4317496690A5070315286 @default.
- W4317496690 hasAuthorship W4317496690A5073169257 @default.
- W4317496690 hasAuthorship W4317496690A5075666858 @default.
- W4317496690 hasConcept C111919701 @default.
- W4317496690 hasConcept C127413603 @default.
- W4317496690 hasConcept C138885662 @default.
- W4317496690 hasConcept C153127940 @default.
- W4317496690 hasConcept C153180895 @default.
- W4317496690 hasConcept C154945302 @default.
- W4317496690 hasConcept C178790620 @default.
- W4317496690 hasConcept C185592680 @default.
- W4317496690 hasConcept C23895516 @default.
- W4317496690 hasConcept C2776401178 @default.
- W4317496690 hasConcept C2778916471 @default.
- W4317496690 hasConcept C2780799671 @default.
- W4317496690 hasConcept C41008148 @default.
- W4317496690 hasConcept C41895202 @default.
- W4317496690 hasConcept C43617362 @default.
- W4317496690 hasConcept C4725764 @default.
- W4317496690 hasConcept C52622490 @default.
- W4317496690 hasConcept C548081761 @default.
- W4317496690 hasConcept C78762247 @default.
- W4317496690 hasConcept C95950515 @default.
- W4317496690 hasConceptScore W4317496690C111919701 @default.
- W4317496690 hasConceptScore W4317496690C127413603 @default.
- W4317496690 hasConceptScore W4317496690C138885662 @default.
- W4317496690 hasConceptScore W4317496690C153127940 @default.
- W4317496690 hasConceptScore W4317496690C153180895 @default.
- W4317496690 hasConceptScore W4317496690C154945302 @default.
- W4317496690 hasConceptScore W4317496690C178790620 @default.
- W4317496690 hasConceptScore W4317496690C185592680 @default.
- W4317496690 hasConceptScore W4317496690C23895516 @default.
- W4317496690 hasConceptScore W4317496690C2776401178 @default.
- W4317496690 hasConceptScore W4317496690C2778916471 @default.
- W4317496690 hasConceptScore W4317496690C2780799671 @default.
- W4317496690 hasConceptScore W4317496690C41008148 @default.
- W4317496690 hasConceptScore W4317496690C41895202 @default.
- W4317496690 hasConceptScore W4317496690C43617362 @default.
- W4317496690 hasConceptScore W4317496690C4725764 @default.
- W4317496690 hasConceptScore W4317496690C52622490 @default.
- W4317496690 hasConceptScore W4317496690C548081761 @default.
- W4317496690 hasConceptScore W4317496690C78762247 @default.