FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285803057> ?p ?o ?g. }

• W4285803057 abstract "The identification of high-quality wine brands can avoid adulteration and fraud and protect the rights and interests of producers and consumers. Since the main components of wine are roughly the same, the characteristic components that can distinguish wine brands are usually trace amounts and not unique. The conventional quantitative detection method for brand identification is complicated and difficult. The naive Bayes (NB) classifier is an algorithm based on probability distribution, which is simple and particularly suitable for multiclass discriminant analysis. However, the absorbance probability between spectral wavelengths is not necessarily strongly independent, which limits the application of Bayes method in spectral pattern recognition. This research proposed a Bayes classifier algorithm based on wavelength optimization. First, a large-scale wavelength screening for equidistant combination (EC) was performed, and then wavelength step-by-step phase-out (WSP) was carried out to reduce the correlation between wavelengths and improve the accuracy of Bayes discrimination. The proposed EC-WSP-Bayes method was applied to the 5-category discriminant analysis of wine brand identification based on visible and near-infrared (Vis-NIR) spectroscopy. Among them, four types of wine brands were collected from regular sales channels as identification brands. The fifth type of samples was composed of 21 other commercial brand wines and home-brewed wines from various sources, as the interference brand. The optimal EC-WSP-Bayes model was selected, the corresponding wavelength combination was 404, 600, 992, 2,070, 2,266, and 2,462 nm located in the visible light, shortwave NIR, and combination frequency regions. In modeling and independent validation, the total recognition accuracy rate (RAR Total ) reached 98.1 and 97.6%, respectively. The technology is quick and easy, which is of great significance to regulate the alcohol market. The proposed model of less-wavelength and high-efficiency (N = 6) can provide a valuable reference for small special instruments. The proposed integrated chemometric method can reduce the correlation between wavelengths, improve the recognition accuracy, and improve the applicability of the Bayesian method." @default.
• W4285803057 created "2022-07-19" @default.
• W4285803057 creator A5005244980 @default.
• W4285803057 creator A5022342254 @default.
• W4285803057 creator A5048559814 @default.
• W4285803057 creator A5052839012 @default.
• W4285803057 creator A5059386209 @default.
• W4285803057 date "2022-07-18" @default.
• W4285803057 modified "2023-09-27" @default.
• W4285803057 title "Visible and Near-Infrared Spectroscopy Combined With Bayes Classifier Based on Wavelength Model Optimization Applied to Wine Multibrand Identification" @default.
• W4285803057 cites W10562338 @default.
• W4285803057 cites W1952387922 @default.
• W4285803057 cites W1982230615 @default.
• W4285803057 cites W2008840370 @default.
• W4285803057 cites W2012696786 @default.
• W4285803057 cites W2020689400 @default.
• W4285803057 cites W2043689097 @default.
• W4285803057 cites W2058069901 @default.
• W4285803057 cites W2060789755 @default.
• W4285803057 cites W2061903037 @default.
• W4285803057 cites W2076119669 @default.
• W4285803057 cites W2085345436 @default.
• W4285803057 cites W2090758395 @default.
• W4285803057 cites W2097304874 @default.
• W4285803057 cites W2148610490 @default.
• W4285803057 cites W2169000669 @default.
• W4285803057 cites W2251741451 @default.
• W4285803057 cites W2313753562 @default.
• W4285803057 cites W2344791288 @default.
• W4285803057 cites W2418071550 @default.
• W4285803057 cites W2590831686 @default.
• W4285803057 cites W2739974441 @default.
• W4285803057 cites W2776744964 @default.
• W4285803057 cites W2914870554 @default.
• W4285803057 cites W2925581053 @default.
• W4285803057 cites W2937444913 @default.
• W4285803057 cites W2939326162 @default.
• W4285803057 cites W2949016039 @default.
• W4285803057 cites W2958806080 @default.
• W4285803057 cites W3009869114 @default.
• W4285803057 cites W3011170335 @default.
• W4285803057 cites W3012816465 @default.
• W4285803057 cites W3015794688 @default.
• W4285803057 cites W3041346977 @default.
• W4285803057 cites W3171670247 @default.
• W4285803057 cites W3184893629 @default.
• W4285803057 cites W4239372883 @default.
• W4285803057 doi "https://doi.org/10.3389/fnut.2022.796463" @default.
• W4285803057 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35928849" @default.
• W4285803057 hasPublicationYear "2022" @default.
• W4285803057 type Work @default.
• W4285803057 citedByCount "3" @default.
• W4285803057 countsByYear W42858030572022 @default.
• W4285803057 countsByYear W42858030572023 @default.
• W4285803057 crossrefType "journal-article" @default.
• W4285803057 hasAuthorship W4285803057A5005244980 @default.
• W4285803057 hasAuthorship W4285803057A5022342254 @default.
• W4285803057 hasAuthorship W4285803057A5048559814 @default.
• W4285803057 hasAuthorship W4285803057A5052839012 @default.
• W4285803057 hasAuthorship W4285803057A5059386209 @default.
• W4285803057 hasBestOaLocation W42858030571 @default.
• W4285803057 hasConcept C107673813 @default.
• W4285803057 hasConcept C120665830 @default.
• W4285803057 hasConcept C121332964 @default.
• W4285803057 hasConcept C12267149 @default.
• W4285803057 hasConcept C153180895 @default.
• W4285803057 hasConcept C154945302 @default.
• W4285803057 hasConcept C207201462 @default.
• W4285803057 hasConcept C33923547 @default.
• W4285803057 hasConcept C41008148 @default.
• W4285803057 hasConcept C52001869 @default.
• W4285803057 hasConcept C55952523 @default.
• W4285803057 hasConcept C69738355 @default.
• W4285803057 hasConcept C95623464 @default.
• W4285803057 hasConceptScore W4285803057C107673813 @default.
• W4285803057 hasConceptScore W4285803057C120665830 @default.
• W4285803057 hasConceptScore W4285803057C121332964 @default.
• W4285803057 hasConceptScore W4285803057C12267149 @default.
• W4285803057 hasConceptScore W4285803057C153180895 @default.
• W4285803057 hasConceptScore W4285803057C154945302 @default.
• W4285803057 hasConceptScore W4285803057C207201462 @default.
• W4285803057 hasConceptScore W4285803057C33923547 @default.
• W4285803057 hasConceptScore W4285803057C41008148 @default.
• W4285803057 hasConceptScore W4285803057C52001869 @default.
• W4285803057 hasConceptScore W4285803057C55952523 @default.
• W4285803057 hasConceptScore W4285803057C69738355 @default.
• W4285803057 hasConceptScore W4285803057C95623464 @default.
• W4285803057 hasLocation W42858030571 @default.
• W4285803057 hasLocation W42858030572 @default.
• W4285803057 hasLocation W42858030573 @default.
• W4285803057 hasOpenAccess W4285803057 @default.
• W4285803057 hasPrimaryLocation W42858030571 @default.
• W4285803057 hasRelatedWork W1548705586 @default.
• W4285803057 hasRelatedWork W1968332688 @default.
• W4285803057 hasRelatedWork W2134472250 @default.
• W4285803057 hasRelatedWork W2146076056 @default.
• W4285803057 hasRelatedWork W2350891938 @default.
• W4285803057 hasRelatedWork W2379288828 @default.
• W4285803057 hasRelatedWork W2380927352 @default.
• W4285803057 hasRelatedWork W2811390910 @default.

• next