JOSE MARIA
MATIAS FERNANDEZ
CATEDRATICO/A UNIVERSIDADE - TEMPO COMPLETO
Publicacións (84) Publicacións de JOSE MARIA MATIAS FERNANDEZ
2024
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Morphokinematical study of the planetary nebula Me 2-1: Unveiling its point-symmetric and unusual physical structure
Astronomy and Astrophysics, Vol. 687
2022
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Method of Rain Attenuation Prediction Based on Long–Short Term Memory Network
Neural Processing Letters, Vol. 54, Núm. 4, pp. 2959-2995
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On metric-invariant relativistic transformations under anisotropy in the context of special relativity
International Journal of Modern Physics D, Vol. 31, Núm. 12
2020
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Applying Learning Methods to Optimize the Ground Segment for HTS Systems
2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020
2019
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Analysis to Quantify and Optimize Spot Beams for a High Throughput Satellite in Ka and Q/V Bands
IEEE Latin America Transactions, Vol. 17, Núm. 2, pp. 219-227
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Effect of Receiving Antennas Radiation Pattern on an SFN Network Coverage
Proceedings - International Symposium on Computers and Communications
2018
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Analysis of the adsorption and retention models for Cd, Cr, Cu, Ni, Pb, and Zn through neural networks: selection of variables and competitive model
Environmental Science and Pollution Research, Vol. 25, Núm. 25, pp. 25551-25564
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Laboratory Tests of Single Frequency Networks with ATSC on Commercial Receivers
IEEE Latin America Transactions, Vol. 16, Núm. 3, pp. 754-763
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Performance assessment of five MCP models proposed for the estimation of long-term wind turbine power outputs at a target site using three machine learning techniques
Applied Energy, Vol. 209, pp. 455-477
2017
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Analysis of the importance of oxides and clays in Cd, Cr, Cu, Ni, Pb and Zn adsorption and retention with regression trees
PLoS ONE, Vol. 12, Núm. 1
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Comparison of several measure-correlate-predict models using support vector regression techniques to estimate wind power densities. A case study
Energy Conversion and Management, Vol. 140, pp. 334-354
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Soil Cd, Cr, Cu, Ni, Pb and Zn sorption and retention models using SVM: Variable selection and competitive model
Science of the Total Environment, Vol. 593-594, pp. 508-522
2016
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Laboratory tests of ATSC M/H commercial receivers
IFIP Wireless Days
2015
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Comparison of feature selection methods using ANNs in MCP-wind speed methods. A case study
Applied Energy, Vol. 158, pp. 490-507
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Planning laboratory tests and field trials for evaluating ATSC DTV on SFN networks in Mexico City
2015 7th IEEE Latin-American Conference on Communications, LATINCOM 2015
2014
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Análisis por rama de conocimiento de los resultados obtenidos en los estudios de inserción laboral de los titulados en el Sistema Universitario de Galicia
FECIES 2013: X Foro Internacional sobre Evaluación de la Calidad de la Investigación y de la Educación Superior
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Solving the slate tile classification problem using a DAGSVM multiclassification algorithm based on SVM binary classifiers with a one-versus-all approach
Applied Mathematics and Computation, Vol. 230, pp. 464-472
2013
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Classifying slate tile quality using automated learning techniques
Mathematical and Computer Modelling, Vol. 57, Núm. 7-8, pp. 1716-1721
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Results of low power DRM+ field trial in the FM band II in Brasília
SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference Proceedings
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Static reception results of DRM+ field trials in VHF band II in brazil
IEEE Transactions on Broadcasting, Vol. 59, Núm. 3, pp. 422-431