pone.0278885.g012.tif (665.84 kB)
Data visualization by t-SNE and LDA (a) t-SNE on spectra (b) LDA on spectra (c) t-SNE on spectra injected temperature (d) LDA on spectra injected temperature.
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posted on 2022-12-12, 18:30 authored by Ruiyuan Kang, Dimitrios C. Kyritsis, Panos LiatsisData visualization by t-SNE and LDA (a) t-SNE on spectra (b) LDA on spectra (c) t-SNE on spectra injected temperature (d) LDA on spectra injected temperature.
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substantially different levelsshowed good accuracyperformance degraded tremendouslylaser absorption spectroscopygood generalization performancegaussian process regressionclosely similar distributionsboosted random forestconventional physical methodstemperature measurement coulddirectly using uniformtwo different areasuniform temperature distributionsutilized partial featuresprofile spectra ).gpr ), vgg13targeted methodstemperature mappingtemperature distributionmeasure temperatureuniform profilesxlink ">work excellentlyuniformity sharedspectral twinsspectral appearanceregional featuresprofile spectranonuniform temperaturenegative effectslearning algorithmsfield measurementsbest three2d spaces
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