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University of San Diego, Certificate of gel electrophoresis training, 2018
Intellegy, Certificate of completion of basic SOLIDWORKS course, 2021
University of California San Diego, San Diego Supercomputer Center, Summer research experience project, 2021
UC San Diego Jacobs School of Engineering, Certificate for participating in the summer research program ENLACE 2021, 2021
Instituto Tecnológico de Tijuana, Senior project, 2021
IBM, Course certification in Python, 2022
IBM, Course certification in Data Analysis with Python, 2022
IBM, Course certification in Machine Learning with Python, 2022
UC San Diego, Course certification in Bioinformatics for Beginners, 2022
IBM, Course certification in Deep Learning, 2024
IBM, Course certification Data Visualization with Python, 2024
UC San Diego, Course certification in Genome Sequencing, 2024
UC San Diego, Course certification in Comparing Genes, Proteins, and Genomes, 2024
UC San Diego, Course certification in Molecular Evolution, 2024
UC San Diego, Course certification in Finding Hidden Messages in DNA (, 2024
Published in IN PROGRESS, 2024
This paper is about the use of deep learning methods for the detection of potentials in electroencephalography signals, evoked by virtual experiences of movement.
Recommended citation: Kevin A. Valenzuela, Arturo Sotelo. (2023). "Identification of potentials in electroencephalic signals, evoked by virtual experiences of movement." IN PROGRESS. 1(1).
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The talk focused on the examination of COVID-19 transmission within Mexico, delving into spatial, temporal, and phylogenetic dimensions while considering the impact of sociodemographic and economic variables, health conditions, mobility patterns, and viral mutations.
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The talk focused on the technical aspect of the method and algorithm developed for the identification of potentials in electroencephalic signals, evoked through virtual experiences of movement.
Differential Calculus, Instituto Tecnológico de Tijuana, Department of Electronical and Electrical Engineering, 2018
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