Félix Fernando González-Navarro
Orcid: 0000-0002-9627-676X
According to our database1,
Félix Fernando González-Navarro
authored at least 38 papers
between 2007 and 2024.
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Bibliography
2024
Wireless sensing applications with Wi-Fi Channel State Information, preprocessing techniques, and detection algorithms: A survey.
Comput. Commun., 2024
2023
Pervasive Mob. Comput., 2023
CSI crowd-counting: An experimental study using Machine Learning and Deep Learning Algorithms.
Proceedings of the Mexican International Conference on Computer Science, 2023
Convolutional neural networks applied to classification of nanoparticles and nanotubes images.
Proceedings of the Mexican International Conference on Computer Science, 2023
2022
Applying Machine Learning to Finger Movements Using Electromyography and Visualization in Opensim.
Sensors, 2022
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022
Proceedings of the IEEE Mexican International Conference on Computer Science, 2022
Proceedings of the IEEE Mexican International Conference on Computer Science, 2022
Detection of Atypical Data in Point Cloud of Technical Vision System using Digital Filtering.
Proceedings of the IEEE Mexican International Conference on Computer Science, 2022
2020
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020
Computación y Sistemas, 2020
Graphical Framework for Categorizing Data Capabilities and Properties of Objects in the Internet of Things.
IEEE Access, 2020
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020
Classification of Vehicle Images through Deep Neural Networks for Camera View Position Selection.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020
2019
An MHD Stirrer 2D Velocity Profile Measurement Validation Through a Machine Vision System.
Proceedings of the IECON 2019, 2019
2018
A scheduling extension scheme of the earliest deadline first policy for hard real-time uniprocessor systems integrated on POSIX threads based on Linux.
Comput. Syst. Sci. Eng., 2018
A Lifelogging Platform Towards Detecting Negative Emotions in Everyday Life using Wearable Devices.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018
2017
Tracking the Evolution of the Internet of Things Concept Across Different Application Domains.
Sensors, 2017
Machine vision system to measuring the velocity field in a fluid by Particle Image Velocimetry: Special Case of Magnetohydrodynamics.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017
2016
Glucose Oxidase Biosensor Modeling and Predictors Optimization by Machine Learning Methods.
Sensors, 2016
Proceedings of the Advances in Computational Intelligence, 2016
2015
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015
Proceedings of the IECON 2015, 2015
2014
Combined application of Power Spectrum Centroid and Support Vector Machines for measurement improvement in Optical Scanning Systems.
Signal Process., 2014
Selección de características para datos de expresión de los genes mediante microarreglos usando recocido simulado guiado por la entropía conjunta multivariada.
Computación y Sistemas, 2014
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014
Proceedings of the 13th Mexican International Conference on Artificial Intelligence, 2014
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014
2013
Surface recognition improvement in 3D medical laser scanner using Levenberg-Marquardt method.
Signal Process., 2013
2011
CoRR, 2011
Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
2010
Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors.
Neurocomputing, 2010
2009
Outlier exploration and diagnostic classification of a multi-centre <sup>1</sup>H-MRS brain tumour database.
Neurocomputing, 2009
Gene subset selection in microarray data using entropic filtering for cancer classification.
Expert Syst. J. Knowl. Eng., 2009
2008
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
Feature Selection in Proton Magnetic Resonance Spectroscopy for Brain Tumor Classification.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007