Ciencias Químicas
Facultad
Scintillon Institute
San Diego, Estados UnidosPublicacións en colaboración con investigadores/as de Scintillon Institute (33)
2024
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Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches
Journal of Extracellular Vesicles, Vol. 13, Núm. 2
2022
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Convolutional capture of the expansion of extra virgin olive oil droplets to quantify adulteration
Food Chemistry, Vol. 368
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Single-digit ppm quantification of melamine in powdered milk driven by computer vision
Food Control, Vol. 131
2021
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Deep transfer learning to verify quality and safety of ground coffee
Food Control, Vol. 122
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Low requirement imaging enables sensitive and robust rice adulteration quantification via transfer learning
Food Control, Vol. 127
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Profiles of Volatile Biomarkers Detect Tuberculosis from Skin
Advanced Science, Vol. 8, Núm. 15
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Service-learning - Diagnostic technologies presented by Ph.D. students to help socially neglected people during the SARS-CoV-2 pandemic
International Conference on Higher Education Advances
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Thermal imaging of rice grains and flours to design convolutional systems to ensure quality and safety
Food Control, Vol. 121
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Thinking-Based Learning at Higher Education Levels: Implementation and Outcomes within a Chemical Engineering Class
Journal of Chemical Education, Vol. 98, Núm. 3, pp. 774-781
2020
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Cognitive chaos on spectrofluorometric data to quantitatively unmask adulterations of a PDO vinegar
Food Control, Vol. 108
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Convolutional decoding of thermographic images to locate and quantify honey adulterations
Talanta, Vol. 209
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Deep thermal imaging to compute the adulteration state of extra virgin olive oil
Computers and Electronics in Agriculture, Vol. 171
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Detection of adulterations of extra-virgin olive oil by means of infrared thermography
Olives and Olive Oil in Health and Disease Prevention (Elsevier), pp. 79-84
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Editorial: Artificial Intelligence in Chemistry
Frontiers in Chemistry
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Exposing adulteration of Muscatel wines and assessing its distribution chain with fluorescence via intelligent and chaotic networks
Food Control, Vol. 118
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Honey exposed to laser-induced breakdown spectroscopy for chaos-based botanical classification and fraud assessment
Chemometrics and Intelligent Laboratory Systems, Vol. 199
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Influence of the distribution chain on the quality of extra virgin olive oils
Olives and Olive Oil in Health and Disease Prevention (Elsevier), pp. 85-90
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Machine Learning and Feature Selection Applied to SEER Data to Reliably Assess Thyroid Cancer Prognosis
Scientific Reports, Vol. 10, Núm. 1
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Phenolic compounds in olive oil mill wastewater
Olives and Olive Oil in Health and Disease Prevention (Elsevier), pp. 693-700
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Service-learning at the postgraduate level to reach depressed sectors of society
Journal of Higher Education Theory and Practice, Vol. 20, Núm. 9, pp. 54-59