Jorge I. Galván-Tejada

Author

Universidad Autónoma de Zacatecas "Francisco García Salinas"ORCID

Also Known As

Carlos Eric Galván-Tejada, J. I. Galvan-Tejada, J. I. Galván-Tejada, J.I. Galvan-Tejada, Jorge Galvan-Tejada, Jorge Galván-Tejada, Jorge I. Galvan-Tejada, Jorge I. Galván Tejada, Jorge I. Galván-Tejada, Jorge I. Gálvan-Tejada

126

Publications

1.3K

Citations

H-Index

160

Concepts

All Affiliations

Universidad Autónoma de Zacatecas "Francisco García Salinas"Secretaría de Ciencia, Humanidades, Tecnología e Innovación Tecnológico de Monterrey Laboratoire Lorrain de Recherche en Informatique et ses Applications Université de Lorraine

About

Jorge I. Galván-Tejada is an author at Universidad Autónoma de Zacatecas "Francisco García Salinas" specializing in engineering, data science, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	15	20	769
2	Medicine	11	12	331
3	Health Sciences	5	5	87
4	Management	1	1	18
5	Natural Sciences	1	1	15

Jorge I. Galván-Tejada

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases Valeria Maeda-Gutiérrez, Carlos E. Galván-Tejada, Laura A. Zanella-Calzada, Applied Sciences Tomato Plant DiseasesImage ClassificationDeep Neural NetworksDiverse DiseasesMachine Learning	2020	241
Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach José M. Celaya-Padilla, Carlos E. Galván-Tejada, Francisco Eneldo López-Monteagudo, Sensors Gps SensorTraffic SafetyGenetic Algorithm ApproachData ScienceEngineering	2018	92
Persistence of COVID-19 Symptoms after Recovery in Mexican Population Carlos E. Galván-Tejada, Cintya Fabiola Herrera-García, Susana Godina-González, International Journal of Environmental Research and Public Health Mexican PopulationVirus EpidemiologyCovid-19 EpidemiologyCovid-19Clinical Epidemiology	2020	69
Image Edge Detection Using Fractional Calculus with Feature and Contrast Enhancement Amita Nandal, Hamurabi Gamboa-Rosales, Arvind Dhaka, Circuits Systems and Signal Processing Image AnalysisEngineeringMedical ImagingEdge DetectionPattern Recognition	2018	67
Feature Extraction in Motor Activity Signal: Towards a Depression Episodes Detection in Unipolar and Bipolar Patients Laura A. Zanella-Calzada, Carlos E. Galván-Tejada, Nubia M. Chávez-Lamas, Diagnostics Affective NeuroscienceWearable TechnologyFeature ExtractionMotor ControlHuman Monitoring	2019	52
Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013–2014 Laura A. Zanella-Calzada, Carlos E. Galván-Tejada, Nubia M. Chávez-Lamas, Bioengineering NutritionHigh AccuracyMachine LearningIntelligent DiagnosticsMedicine	2018	43
Comparison of Night, Day and 24 h Motor Activity Data for the Classification of Depressive Episodes Julieta G. Rodríguez-Ruiz, Carlos E. Galván-Tejada, Laura A. Zanella-Calzada, Diagnostics PsychopathologyEngineeringMotor Activity DataWearable TechnologyDiagnosis	2020	39
In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection José M. Celaya-Padilla, Jonathan Samuel Romero-González, Carlos E. Galván-Tejada, Sensors Support Vector MachineEngineeringGenetic AlgorithmsDriver BehaviorMotor Vehicle Accidents	2021	33
“Texting & Driving” Detection Using Deep Convolutional Neural Networks José M. Celaya-Padilla, Carlos E. Galván-Tejada, Joyce S. A. Lozano-Aguilar, Applied Sciences Convolutional Neural NetworkDeep Neural NetworksImage AnalysisMachine VisionMachine Learning	2019	32
Visualizing the Intellectual Structure and Evolution of Intelligent Transportation Systems: A Systematic Analysis of Research Themes and Trends Nadia Karina Gamboa-Rosales, José M. Celaya-Padilla, Ana Luisa Hernandez-Gutierrez, Sustainability Transport Network AnalysisEngineeringSmart CityTransportation Systems ModelingIntelligent Transportation Systems	2020	29

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