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      <dc:title>Plataforma NIRS PAT para la industria 4.0 con Tensorflow</dc:title>
      <dc:creator>Chamizo Álvarez, Víctor</dc:creator>
      <dc:subject>Àrees temàtiques de la UPC::Informàtica</dc:subject>
      <dc:subject>Neural networks (Computer science)</dc:subject>
      <dc:subject>Machine learning</dc:subject>
      <dc:subject>Tensorflow</dc:subject>
      <dc:subject>Python</dc:subject>
      <dc:subject>CNN</dc:subject>
      <dc:subject>Machine learning</dc:subject>
      <dc:subject>Chemometrics</dc:subject>
      <dc:subject>aprendizaje profundo</dc:subject>
      <dc:subject>espectroscopia del infrarrojo cercano</dc:subject>
      <dc:subject>imagen hiperespectral</dc:subject>
      <dc:subject>tecnología analítica de procesos</dc:subject>
      <dc:subject>industria 4.0</dc:subject>
      <dc:subject>quimiometría</dc:subject>
      <dc:subject>deep learning</dc:subject>
      <dc:subject>near infrared spectroscopy</dc:subject>
      <dc:subject>hyperspectral imaging</dc:subject>
      <dc:subject>process analytical technology</dc:subject>
      <dc:subject>Xarxes neuronals (Informàtica)</dc:subject>
      <dc:subject>Aprenentatge automàtic</dc:subject>
      <dc:description>Utilizando la plataforma para deep learning Tensorflow, se han obtenido modelos de clasificación y cuantificación con datos espectroscópicos. Estos se han comparado con los métodos analíticos tradicionales de la quimiometría, para ver si son la opción a seguir en la Industria 4.0.</dc:description>
      <dc:date>2019-01-31</dc:date>
      <dc:type>Master thesis</dc:type>
      <dc:rights>Open Access</dc:rights>
      <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
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