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A new Internet of things hybrid VLC/RF System for m-Health in an underground mining industry
Iturralde, Daniel; Guaña-Moya, Javier; Palacios Játiva, Pablo; Sánchez, Iván; Ijaz, Muhammad; Dehghan Firoozabadi, Ali; Zabala-Blanco, David (2024)This paper proposes a new system based on the Industrial Internet of Things (IIoT) for the monitoring of Mobile Health (m-Health) of workers in the underground mining industry. The proposed architecture uses a hybrid ...
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A VLC channel model for underground mining environments with scattering and shadowing
Palacios-Játiva, Pablo; Azurdia-Meza, Cesar A.; Sánchez, Iván; Seguel, Fabian; Zabala-Blanco, David; Dehghan Firoozabadi, Ali; Gutiérrez, Carlos A.; Soto, Ismael (2020)Underground mining is an industry that preserves the miners' safety and efficiency in their work using wireless communication systems as a tool. In addition to communication links characterized by radio frequency signals, ...
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Analysis of spectrum detection and decision using machine learning algorithms in cognitive mobile radio networks
Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Sánchez, Iván; Zabala-Blanco, David; Román Cañizares, Milton (2021)In this work, the performance of four Machine Learning Algorithms (MLAs) applied to Cognitive Mobile Radio Networks (CMRNs) are analyzed. These algorithms are Coalition Game Theory (CGT), Naive Bayesian Classifier (NBC), ...
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Correspondencias entre indicadores de ingreso a la universidad y los niveles de logro de la competencia diagnóstico en estudiantes de kinesiología
Escobar-Cabello, Máximo; Sánchez, Iván (2019)El propósito del presente estudio es asociar, a través del análisis de correspondencia múltiple, los indicadores de ingreso, el rendimiento académico y su vinculación con los niveles de logro de la competencia diagnóstico, ...