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José Francisco Gómez González
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2020 – today
- 2024
- [j7]Sofia Amador Nelke, Dan Kohen-Vacs, Michael Khomyakov, Maria Rosienkiewicz, Joanna Helman, Mariusz Cholewa, Mateusz Molasy, Anna Górecka, José Francisco Gómez González, Maxime Bourgain, Athith Sagar, Giovanni Berselli, Daniel Blank, Michael Winokur, Arriel Benis:
Enhancing Lessons on the Internet of Things in Science, Technology, Engineering, and Medical Education with a Remote Lab. Sensors 24(19): 6424 (2024) - 2023
- [j6]Jordan Ortega-Rodríguez, Kevin Martín-Chinea, José Francisco Gómez González, Ernesto Pereda:
Brainprint based on functional connectivity and asymmetry indices of brain regions: A case study of biometric person identification with non-expensive electroencephalogram headsets. IET Biom. 12(3): 129-145 (2023) - [j5]Jordan Ortega-Rodríguez, José Francisco Gómez González, Ernesto Pereda:
Selection of the Minimum Number of EEG Sensors to Guarantee Biometric Identification of Individuals. Sensors 23(9): 4239 (2023)
2010 – 2019
- 2019
- [j4]José Luís Casteleiro-Roca, José Francisco Gómez González, José Luís Calvo-Rolle, Esteban Jove, Héctor Quintián, Benjamin Gonzalez Diaz, Juan Albino Méndez Pérez:
Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling. Sensors 19(11): 2485 (2019) - 2018
- [j3]Juan Albino Méndez, Ana León, Ayoze Marrero, Jose M. Gonzalez-Cava, José Antonio Reboso, José Ignacio Estévez Damas, José Francisco Gómez González:
Improving the anesthetic process by a fuzzy rule based medical decision system. Artif. Intell. Medicine 84: 159-170 (2018) - [c1]José Luís Casteleiro-Roca, José Francisco Gómez González, José Luís Calvo-Rolle, Esteban Jove, Héctor Quintián, Juan Francisco Acosta Martín, Sara González-Pérez, Benjamin Gonzalez Diaz, Francisco Calero-Garcia, Juan Albino Méndez Pérez:
Prediction of the Energy Demand of a Hotel Using an Artificial Intelligence-Based Model. HAIS 2018: 586-596 - 2016
- [j2]Isabel Mateos-Garcia, Juan Albino Méndez Pérez, José Antonio Reboso-Morales, José Francisco Gómez González:
Adaptive pharmacokinetic and pharmacodynamic modelling to predict propofol effect using BIS-guided anesthesia. Comput. Biol. Medicine 75: 173-180 (2016) - 2011
- [j1]José Francisco Gómez González, Bartlett W. Mel, Panayiota Poirazi:
Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time. Frontiers Comput. Neurosci. 5: 44 (2011)
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last updated on 2024-11-07 21:31 CET by the dblp team
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