José Víctor
Rodríguez Rodríguez
Catedrático de Universidad
Universidad de Murcia
Murcia, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Murcia (16)
2020
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A comparison of different models of glycemia dynamics for improved type 1 diabetes mellitus management with advanced intelligent analysis in an internet of things context
Applied Sciences (Switzerland), Vol. 10, Núm. 12
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An autonomous alarm system for personal safety assurance of intimate partner violence survivors based on passive continuous monitoring through biosensor
Symmetry, Vol. 12, Núm. 3
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Towards a holistic ICT platform for protecting intimate partner violence survivors based on the IoT paradigm
Symmetry, Vol. 12, Núm. 1
2019
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Biosensores integrados en un entorno de internet de las cosas: una gestión inteligente de la diabetes mellitus tipo 1
IV Jornadas Doctorales Escuela Internacional de Doctorado de la Universidad de Murcia (Eidum)
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Feature selection for blood glucose level prediction in type 1 diabetes mellitus by using the sequential input selection algorithm (SISAL)
Symmetry, Vol. 11, Núm. 9
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On the possibility of predicting glycaemia ‘on the fly’ with constrained IoT devices in type 1 diabetes mellitus patients
Sensors (Switzerland), Vol. 19, Núm. 20
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Utility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques
Sensors (Switzerland), Vol. 19, Núm. 20
2018
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La importancia de la emoción en el aprendizaje
Didácticas Específicas, Núm. 19, pp. 37-42
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On the impact of the type of wave incidence in multiple-cylinder diffraction analysis at millimeter-wave frequencies
Journal of Electromagnetic Waves and Applications, Vol. 32, Núm. 5, pp. 572-578
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Towards an ICT-based platform for type 1 diabetes mellitus management
Applied Sciences (Switzerland), Vol. 8, Núm. 4
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Validation with measurements of plane and spherical-wave UTD-PO propagation models which assume flat-topped obstacles
AEU - International Journal of Electronics and Communications, Vol. 85, pp. 174-178
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Variables to be monitored via biomedical sensors for complete type 1 diabetes mellitus management: An extension of the “on-board” concept
Journal of Diabetes Research, Vol. 2018
2017
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On predicting glycaemia in type 1 diabetes mellitus patients by using support vector machines
ACM International Conference Proceeding Series
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On the possibility of estimating the multiple-diffraction losses of a rectangular obstacle at mm-wave frequencies from the corresponding double knife-edge results
AEU - International Journal of Electronics and Communications, Vol. 82, pp. 516-519
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Propuestas para Medir la Velocidad de la Luz en Diferentes Medios dentro de un Ámbito Docente
Elektron: ciencia y tecnología en la electrónica de hoy, Vol. 1, Núm. 2, pp. 66-74
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Towards a new diabetes mellitus management by means of novel biosensors and information and communication technologies
ACM International Conference Proceeding Series