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The best CA results of the spectral data features for each NoM.

The best CA results of the spectral data features for each NoM.

<p>The best CA results of the spectral data features for each NoM.</p>

Kaydedildi:
Detaylı Bibliyografya
Yazar: Tugba Aydemir (22056733) (author)
Baskı/Yayın Bilgisi: 2025
Konular:
Medicine
Science Policy
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
somatic cell count
reliability issues caused
potentially increasing applicability
optimizing vaccination strategies
newly released dataset
na &# 239
improving production management
facilitating ownership assignment
ensuring animal traceability
based management system
artificial intelligence offers
87 %&# 8722
53 %&# 8722
23 %&# 8722
63 %, 61
26 %, respectively
infrared spectral measurements
100 %,
infrared spectroscopy
considered measurements
widely employed
unique identifiers
tag loss
routine monitoring
raw milk
publicly available
proposed method
precise recognition
merging near
main components
induced fading
great potential
farm environments
external factors
enhancing understanding
ear tags
driven approach
disease progression
decision tree
cow identification
alternative way
alternative approach
already part
8 weeks
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Benzer Materyaller

  • The best CA results of hybrid usage of features for each NoM.
    Yazar:: Tugba Aydemir (22056733)
    Baskı/Yayın Bilgisi: (2025)
  • The best CA results of the main components of raw milk features for each NoM.
    Yazar:: Tugba Aydemir (22056733)
    Baskı/Yayın Bilgisi: (2025)
  • The entire results of classifiers according to the weight of features; (a) the legend and axis names of the figures, (b) the results for NoM  = 10 and NoA = 39, (c) the results for NoM = 15 and NoA = 35, (d) the results for NoM = 20 and NoA = 32, (e) the results for NoM = 25 and NoA = 31, (f) the results for NoM = 30 and NoA = 25, (g) the results for NoM = 35 and NoA = 15, (h) the results for NoM = 40 and NoA = 7, (i) the results for NoM = 45 and NoA = 3.
    Yazar:: Tugba Aydemir (22056733)
    Baskı/Yayın Bilgisi: (2025)
  • The order of the features.
    Yazar:: Tugba Aydemir (22056733)
    Baskı/Yayın Bilgisi: (2025)
  • The weights of feature indexes 6 through 261.
    Yazar:: Tugba Aydemir (22056733)
    Baskı/Yayın Bilgisi: (2025)

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