E.T.S.I. DE INFORMÁTICA
2019
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Analyzing Digital Image by Deep Learning for Melanoma Diagnosis
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Automatic identification of characteristic points related to pathologies in electrocardiograms to design expert systems
Soft Computing, Vol. 23, Núm. 12, pp. 4207-4219
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Compact and Low-Loss V-Band Waveguide Phase Shifter Based on Glide-Symmetric Pin Configuration
IEEE Access, Vol. 7, pp. 31297-31304
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Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Deep learning networks with p-norm loss layers for spatial resolution enhancement of 3D medical images
From Bioinspired Systems and Biomedical Applications to Machine Learning: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II (Springer Suiza), pp. 287-296
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Fast calibration methods for resistive sensor readout based on direct interface circuits
Sensors (Switzerland), Vol. 19, Núm. 18
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IDENTIFICATION OF INDICATORS FOR DECISION MAKING IN THE SELECTION OF OFFERS IN PUBLIC LIGHTING TENDER PROCEDURES
Proceedings from the International Congress on Project Management and Engineering
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Phase Shifter for Millimeter-Wave Frequency Range Based on Glide Symmetric Structures
13th European Conference on Antennas and Propagation, EuCAP 2019
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Photovoltaic charging multi-station with modular architecture for light electric vehicles
Renewable Energy and Power Quality Journal, Vol. 17, pp. 470-474
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Quasi single point calibration method for high- speed measurements of resistive sensors
Micromachines, Vol. 10, Núm. 10
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Securing and Greening Wireless Sensor Networks with Beamforming
Mobile Networks and Applications, Vol. 24, Núm. 2, pp. 712-720
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Setting reserve requirements to approximate the efficiency of the stochastic dispatch
IEEE Transactions on Power Systems, Vol. 34, Núm. 2, pp. 1524-1536