
JOSE LUIS
PEREZ CALLE
Investigador Predoctoral Plan Estatal FPU
Publications (39) JOSE LUIS PEREZ CALLE publications
2025
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Smart portable electronic nose system in combination with machine learning algorithms for the intelligent discrimination of fire debris
Chemometrics and Intelligent Laboratory Systems, Vol. 264
2024
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Cromatografía de gases ultrarrápida acoplada a técnicas de machine learning para predecir el nivel de adulteración en miel de azahar y girasol
XLV Jornadas de viticultura y enología de la Tierra de Barros ; V Congreso Agroalimentario de Extremadura: Almendralejo, 2 al 5 de mayo de 2023
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Cuantificación inteligente de adulteraciones en cacao en polvo mediante espectroscopía NIR
XLV Jornadas de viticultura y enología de la Tierra de Barros ; V Congreso Agroalimentario de Extremadura: Almendralejo, 2 al 5 de mayo de 2023
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Detecting Honey Adulteration: Advanced Approach Using UF-GC Coupled with Machine Learning
Sensors, Vol. 24, Núm. 23
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Detection and quantification of cocoa powder adulteration using Vis-NIR spectroscopy with chemometrics approach
Food Chemistry, Vol. 449
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Development of a Novel HS-GC/MS Method Using the Total Ion Spectra Combined with Machine Learning for the Intelligent and Automatic Evaluation of Food-Grade Paraffin Wax Odor Level
Foods, Vol. 13, Núm. 9
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Enhancing Competency-Based Education in Instrumental Analysis: A Novel Approach Using High-Performance Liquid Chromatography for Real-World Problem Solving
Education Sciences, Vol. 14, Núm. 5
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Headspace gas chromatography with various sample preparation and chemometric approaches to improve discrimination of wild and feeding civet coffee
IOP Conference Series: Earth and Environmental Science
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Hybrid Artificial-Intelligence-Based System for Unmanned Aerial Vehicle Detection, Localization, and Tracking Using Software-Defined Radio and Computer Vision Techniques
Telecom, Vol. 5, Núm. 4, pp. 1286-1308
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Machine learning-based approaches to Vis-NIR data for the automated characterization of petroleum wax blends
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, Vol. 310
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Optimization of HS-SPME combined with GC–MS for key marker volatile organic compound analysis in Kappaphycus alvarezii with a chemometric approach
Journal of Food Measurement and Characterization, Vol. 18, Núm. 5, pp. 3510-3526
2023
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A Rapid Method for Authentication of Macroalgae Based on Vis-NIR Spectroscopy Data Combined with Chemometrics Approach
Water (Switzerland), Vol. 15, Núm. 1
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Caracterización y discriminación de parafinas de uso agroalimentario mediante espectroscopia Vis-NIR y aprendizaje automático
XLIV Jornadas de viticultura y enología de la Tierra de Barros ; IV Congreso Agroalimentario de Extremadura: Almendralejo, 3 al 6 de mayo de2022
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Detección automatizada de adulteraciones en zumos de fruta mediante HS-GC-IMS
XLIV Jornadas de viticultura y enología de la Tierra de Barros ; IV Congreso Agroalimentario de Extremadura: Almendralejo, 3 al 6 de mayo de2022
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Enhanced Differentiation of Wild and Feeding Civet Coffee Using Near-Infrared Spectroscopy with Various Sample Pretreatments and Chemometric Approaches
Horticulturae, Vol. 9, Núm. 7
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Novel Method Based on Ion Mobility Spectrometry Combined with Machine Learning for the Discrimination of Fruit Juices
Foods, Vol. 12, Núm. 13
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Rapid Classification of Petroleum Waxes: A Vis-NIR Spectroscopy and Machine Learning Approach
Foods, Vol. 12, Núm. 18
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Rapid and Automated Method for Detecting and Quantifying Adulterations in High-Quality Honey Using Vis-NIRs in Combination with Machine Learning
Foods, Vol. 12, Núm. 13
2022
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A RAPID METHOD BASED ON VIS-NIRS DATA COMBINED WITHCHEMOMETRICS APPROACH FOR AUTHENTICATION OF MACROALGAE
XVII REUNIÓN DEL GRUPO REGIONAL ANDALUZ DE LA SOCIEDAD ESPAÑOLA DE QUÍMICA ANALÍTICA
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Automated detection and quantification of adulteration in fruit juices using FT-IR
FORENSICS 2022 - 3rd International Caparica Conference in Translational Forensics 2022