José Víctor
Rodríguez Rodríguez
Catedrático de Universidad
Universidad de Málaga
Málaga, España
2026
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A Remote-Laboratory Activity for Satellite Communications Education: Estimating GNSS Orbital Parameters from SALSA Radio Telescope Tracking Data
Revista Iberoamericana de Tecnologias del Aprendizaje, Vol. 21, pp. 528-539
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Data for "Positive Lyapunov exponents without chaos in the primes" (version 1)
Zenodo
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Diseño y evaluación de una estrategia de m-learning (BYOD) en el aula para el aprendizaje de las Comunicaciones Ópticas: Cuestionarios gamificados y APPS de simulación
IV Congreso Internacional «Educación 4.0: Cuestiones actuales sobre la docencia universitaria»
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Machine-Learning-Based Urban Path Loss Prediction at 900 MHz: Principal Component Analysis, Clustering, Feature Importance and Regression
IEEE Open Journal of Antennas and Propagation, Vol. 7, Núm. 1, pp. 40-56
2025
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A TEXT-MINING-BASED SCIENTOMETRIC ANALYSIS OF SUNSPOT NUMBER PREDICTION
Space Science and Technology, Vol. 31, Núm. 3, pp. 3-27
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Discretized Urban Path Loss Modeling at 3.5 GHz Using Geospatial Features and Machine Learning Techniques: From Regression to Classification
IEEE Access, Vol. 13, pp. 178961-178980
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Geospatial Feature-Based Path Loss Prediction at 1800 MHz in Covenant University Campus with Tree Ensembles, Kernel-Based Methods, and a Shallow Neural Network
Electronics (Switzerland), Vol. 14, Núm. 20
2024
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Analyzing radiowave multiple diffraction from a low transmitter in vegetated urban areas using a spherical-wave UTD–PO approach
Eurasip Journal on Wireless Communications and Networking, Vol. 2024, Núm. 1
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Are we crossing a minimum of the Gleissberg centennial cycle? Multivariate machine learning-based prediction of the sunspot number using different proxies of solar activity and spectral analysis
Advances in Space Research, Vol. 74, Núm. 8, pp. 4173-4188
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Design of Optimal Sound Absorbers Using Acoustic Diffusers for Multipurpose Auditoriums
Acoustics, Vol. 6, Núm. 1, pp. 219-239
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Fractal Y-shaped Diffusers on Top of Acoustic Barriers for Traffic Noise Mitigation
Acoustics Australia, Vol. 52, Núm. 1, pp. 105-112
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Hemispheric Sunspot Number Prediction for Solar Cycles 25 and 26 Using Spectral Analysis and Machine Learning Techniques
Solar Physics, Vol. 299, Núm. 8
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IoMT innovations in diabetes management: Predictive models using wearable data
Expert Systems with Applications, Vol. 238
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Predicting Solar Cycle 26 Using the Polar Flux as a Precursor, Spectral Analysis, and Machine Learning: Crossing a Gleissberg Minimum?
Solar Physics, Vol. 299, Núm. 8
2023
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A Set of Laboratory Experiments for the Proper Understanding of the Photoelectric Effect Within a Teaching/Learning Context
Revista Iberoamericana de Tecnologias del Aprendizaje, Vol. 18, Núm. 3, pp. 226-232
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Analyzing multiple acoustic diffraction over a wide barrier using equivalent knife-edge geometries and Babinet's principle (L)
Journal of the Acoustical Society of America, Vol. 153, Núm. 4, pp. 1974-1978
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Applications of the Internet of Medical Things to Type 1 Diabetes Mellitus
Electronics (Switzerland), Vol. 12, Núm. 3
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Constrained IoT-Based Machine Learning for Accurate Glycemia Forecasting in Type 1 Diabetes Patients
Sensors, Vol. 23, Núm. 7
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Exploring the Validity of Plane and Spherical Millimeter-Wave Incidences for Multiple-Diffraction Calculations in Wireless Communication Systems
Electronics (Switzerland), Vol. 12, Núm. 9
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Forecasting glycaemia for type 1 diabetes mellitus patients by means of IoMT devices
Internet of Things (Netherlands), Vol. 24