Matches in SemOpenAlex for { <https://semopenalex.org/work/W3090223510> ?p ?o ?g. }
- W3090223510 endingPage "6862" @default.
- W3090223510 startingPage "6862" @default.
- W3090223510 abstract "Minced meat substitution is one of the most common frauds which not only affects consumer health but impacts their lifestyles and religious customs as well. A number of methods have been proposed to overcome these frauds; however, these mostly rely on laboratory measures and are often subject to human error. Therefore, this study proposes novel hyperspectral imaging (400–1000 nm) based non-destructive isos-bestic myoglobin (Mb) spectral features for minced meat classification. A total of 60 minced meat spectral cubes were pre-processed using true-color image formulation to extract regions of interest, which were further normalized using the Savitzky–Golay filtering technique. The proposed pipeline outperformed several state-of-the-art methods by achieving an average accuracy of 88.88%." @default.
- W3090223510 created "2020-10-08" @default.
- W3090223510 creator A5004717556 @default.
- W3090223510 creator A5020377550 @default.
- W3090223510 creator A5028364936 @default.
- W3090223510 creator A5032734267 @default.
- W3090223510 creator A5036934454 @default.
- W3090223510 creator A5044102676 @default.
- W3090223510 creator A5071724534 @default.
- W3090223510 creator A5077452142 @default.
- W3090223510 date "2020-09-29" @default.
- W3090223510 modified "2023-10-14" @default.
- W3090223510 title "Myoglobin-Based Classification of Minced Meat Using Hyperspectral Imaging" @default.
- W3090223510 cites W1967554761 @default.
- W3090223510 cites W1967763172 @default.
- W3090223510 cites W1970078894 @default.
- W3090223510 cites W1970940160 @default.
- W3090223510 cites W1986413985 @default.
- W3090223510 cites W1995966489 @default.
- W3090223510 cites W1999437504 @default.
- W3090223510 cites W2011521247 @default.
- W3090223510 cites W2018717203 @default.
- W3090223510 cites W2019795873 @default.
- W3090223510 cites W2026995981 @default.
- W3090223510 cites W2038211274 @default.
- W3090223510 cites W2046133769 @default.
- W3090223510 cites W2048280297 @default.
- W3090223510 cites W2055370840 @default.
- W3090223510 cites W2065084513 @default.
- W3090223510 cites W2085289658 @default.
- W3090223510 cites W2093367405 @default.
- W3090223510 cites W2093380930 @default.
- W3090223510 cites W2095033190 @default.
- W3090223510 cites W2098529110 @default.
- W3090223510 cites W2116146912 @default.
- W3090223510 cites W2134700792 @default.
- W3090223510 cites W2138357820 @default.
- W3090223510 cites W2143392110 @default.
- W3090223510 cites W2150823344 @default.
- W3090223510 cites W2150935715 @default.
- W3090223510 cites W2159002413 @default.
- W3090223510 cites W2189355247 @default.
- W3090223510 cites W2412279540 @default.
- W3090223510 cites W2623839652 @default.
- W3090223510 cites W2802404814 @default.
- W3090223510 cites W2806067324 @default.
- W3090223510 cites W2807115651 @default.
- W3090223510 cites W2887517611 @default.
- W3090223510 cites W2909669418 @default.
- W3090223510 cites W2915296310 @default.
- W3090223510 cites W2944896556 @default.
- W3090223510 cites W2974700680 @default.
- W3090223510 cites W2990086321 @default.
- W3090223510 cites W2996967492 @default.
- W3090223510 cites W3000090125 @default.
- W3090223510 cites W3005178103 @default.
- W3090223510 cites W3040782625 @default.
- W3090223510 doi "https://doi.org/10.3390/app10196862" @default.
- W3090223510 hasPublicationYear "2020" @default.
- W3090223510 type Work @default.
- W3090223510 sameAs 3090223510 @default.
- W3090223510 citedByCount "14" @default.
- W3090223510 countsByYear W30902235102020 @default.
- W3090223510 countsByYear W30902235102021 @default.
- W3090223510 countsByYear W30902235102022 @default.
- W3090223510 countsByYear W30902235102023 @default.
- W3090223510 crossrefType "journal-article" @default.
- W3090223510 hasAuthorship W3090223510A5004717556 @default.
- W3090223510 hasAuthorship W3090223510A5020377550 @default.
- W3090223510 hasAuthorship W3090223510A5028364936 @default.
- W3090223510 hasAuthorship W3090223510A5032734267 @default.
- W3090223510 hasAuthorship W3090223510A5036934454 @default.
- W3090223510 hasAuthorship W3090223510A5044102676 @default.
- W3090223510 hasAuthorship W3090223510A5071724534 @default.
- W3090223510 hasAuthorship W3090223510A5077452142 @default.
- W3090223510 hasBestOaLocation W30902235101 @default.
- W3090223510 hasConcept C153180895 @default.
- W3090223510 hasConcept C154945302 @default.
- W3090223510 hasConcept C159078339 @default.
- W3090223510 hasConcept C178790620 @default.
- W3090223510 hasConcept C185592680 @default.
- W3090223510 hasConcept C2778063876 @default.
- W3090223510 hasConcept C33923547 @default.
- W3090223510 hasConcept C41008148 @default.
- W3090223510 hasConceptScore W3090223510C153180895 @default.
- W3090223510 hasConceptScore W3090223510C154945302 @default.
- W3090223510 hasConceptScore W3090223510C159078339 @default.
- W3090223510 hasConceptScore W3090223510C178790620 @default.
- W3090223510 hasConceptScore W3090223510C185592680 @default.
- W3090223510 hasConceptScore W3090223510C2778063876 @default.
- W3090223510 hasConceptScore W3090223510C33923547 @default.
- W3090223510 hasConceptScore W3090223510C41008148 @default.
- W3090223510 hasIssue "19" @default.
- W3090223510 hasLocation W30902235101 @default.
- W3090223510 hasLocation W30902235102 @default.
- W3090223510 hasLocation W30902235103 @default.
- W3090223510 hasLocation W30902235104 @default.
- W3090223510 hasOpenAccess W3090223510 @default.