JOSE LUIS PEREZ CALLE-rekin lankidetzan egindako argitalpenak (5)

2022

  1. Comparison of different processing approaches by SVM and RF on HS-MS eNose and NIR Spectrometry data for the discrimination of gasoline samples

    Microchemical Journal, Vol. 172

  2. Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data

    Sensors, Vol. 22, Núm. 10

  3. Support Vector Machine and Random Forest processing approaches on HS-MS enose data for the discrimination of gasoline samples according to their RON

    FORENSICS 2022 - 3rd International Caparica Conference in Translational Forensics 2022

2021

  1. A methodology based on ft-ir data combined with random forest model to generate spectralprints for the characterization of high-quality vinegars

    Foods, Vol. 10, Núm. 6

  2. Discrimination of ignitable liquid residues in burned petroleum-derived substrates by using HS-MS eNose and chemometrics

    Sensors (Switzerland), Vol. 21, Núm. 3, pp. 1-12