Carlos Eric Galván Tejada
Carlos Eric Galván Tejada
Profesor Investigador UAZ
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Cited by
Cited by
Evolution of indoor positioning technologies: A survey
RF Brena, JP García-Vázquez, CE Galván-Tejada, D Muńoz-Rodriguez, ...
Journal of Sensors 2017, 2017
Comparison of convolutional neural network architectures for classification of tomato plant diseases
V Maeda-Gutiérrez, CE Galvan-Tejada, LA Zanella-Calzada, ...
Applied Sciences 10 (4), 1245, 2020
Multi-view stacking for activity recognition with sound and accelerometer data
E Garcia-Ceja, CE Galván-Tejada, R Brena
Information Fusion 40, 45-56, 2018
Wifi bluetooth based combined positioning algorithm
I Galvan-Tejada, EI Sandoval, R Brena
Procedia Engineering 35, 101-108, 2012
Magnetic field feature extraction and selection for indoor location estimation
CE Galván-Tejada, JP García-Vázquez, RF Brena
Sensors 14 (6), 11001-11015, 2014
Speed bump detection using accelerometric features: A genetic algorithm approach
JM Celaya-Padilla, CE Galván-Tejada, FE López-Monteagudo, ...
Sensors 18 (2), 443, 2018
Image edge detection using fractional calculus with feature and contrast enhancement
A Nandal, H Gamboa-Rosales, A Dhaka, JM Celaya-Padilla, ...
Circuits, Systems, and Signal Processing 37 (9), 3946-3972, 2018
Persistence of COVID-19 symptoms after recovery in Mexican population
CE Galván-Tejada, CF Herrera-García, S Godina-González, ...
International journal of environmental research and public health 17 (24), 9367, 2020
Bluetooth-WiFi based combined positioning algorithm, implementation and experimental evaluation
CE Galván-Tejada, JC Carrasco-Jiménez, RF Brena
Procedia Technology 7, 37-45, 2013
Infrastructure-less indoor localization using the microphone, magnetometer and light sensor of a smartphone
CE Galván-Tejada, JP García-Vázquez, JI Galván-Tejada, ...
Sensors 15 (8), 20355-20372, 2015
Deep artificial neural networks for the diagnostic of caries using socioeconomic and nutritional features as determinants: data from NHANES 2013–2014
LA Zanella-Calzada, CE Galván-Tejada, NM Chávez-Lamas, ...
Bioengineering 5 (2), 47, 2018
Current model systems for the study of preeclampsia
ML Martinez-Fierro, GP Hernández-Delgadillo, V Flores-Morales, ...
Experimental biology and medicine 243 (6), 576-585, 2018
An analysis of audio features to develop a human activity recognition model using genetic algorithms, random forests, and neural networks
CE Galván-Tejada, JI Galván-Tejada, JM Celaya-Padilla, ...
Mobile Information Systems 2016, 2016
Location identification using a magnetic-field-based FFT signature
CE Galván-Tejada, JC Carrasco-Jimenez, R Brena
Procedia Computer Science 19, 533-539, 2013
Frequency Analysis of Honey Bee Buzz for Automatic Recognition of Health Status: A Preliminary Study.
A Robles-Guerrero, T Saucedo-Anaya, E González-Ramérez, ...
Res. Comput. Sci. 142, 89-98, 2017
Feature selection for place classification through environmental sounds
JR Delgado-Contreras, JP Garćıa-Vázquez, RF Brena, CE Galván-Tejada, ...
Procedia Computer Science 37, 40-47, 2014
Evaluation of four classifiers as cost function for indoor location systems
CE Galván-Tejada, JP García-Vázquez, E García-Ceja, ...
Procedia Computer Science 32, 453-460, 2014
Feature extraction in motor activity signal: Towards a depression episodes detection in unipolar and bipolar patients
LA Zanella-Calzada, CE Galván-Tejada, NM Chávez-Lamas, ...
Diagnostics 9 (1), 8, 2019
Comparison of night, day and 24 h motor activity data for the classification of depressive episodes
JG Rodríguez-Ruiz, CE Galván-Tejada, LA Zanella-Calzada, ...
Diagnostics 10 (3), 162, 2020
Multivariate feature selection of image descriptors data for breast cancer with computer-assisted diagnosis
CE Galván-Tejada, LA Zanella-Calzada, JI Galván-Tejada, ...
Diagnostics 7 (1), 9, 2017
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