Listar Artículos Científicos por autor 

Listar Artículos Científicos por autor

Mostrando publicaciones 1-6 de 6

  • A general MIMO VLC channel model for underground mining environments 

    Solis, Julian; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Zabala-Blanco, David; Soto, Ismael; Ijaz, Muhammad (2022)
    Underground Mining (UM) is a harsh environment that involves multiple threats to worker safety and needs adequate wireless communications to ensure worker well-being and optimize miner efficiency. While radio frequency ...

  • A new COVID-19 detection method based on CSK/QAM visible light communication and machine learning 

    Soto, Ismael; Zamorano-Illanes, Raul; Becerra, Raimundo; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Alavia, Wilson; García, Verónica; Ijaz, Muhammad; Zabala-Blanco, David (2023)
    This article proposes a novel method for detecting coronavirus disease 2019 (COVID-19) in an underground channel using visible light communication (VLC) and machine learning (ML). We present mathematical models of COVID-19 ...

  • 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 ...

  • A novel and adaptive angle diversity-based receiver for 6g underground mining vlc systems 

    Palacios Játiva, Pablo; Sánchez Soto, Iván; Soto, Ismael; Azurdia-Meza, Cesar A.; Zabala-Blanco, David; Ijaz, Muhammad; Dehghan Firoozabadi, Ali; Plets, David (2022)
    Visible light communication (VLC) is considered an enabling technology for future 6G wireless systems. Among the many applications in which VLC systems are used, one of them is harsh environments such as Underground ...

  • A novel traffic prediction method using machine learning for energy efficiency in service provider networks 

    Rau, Francisco; Soto, Ismael; Zabala-Blanco, David; Azurdia-Meza, Cesar A.; Ijaz, Muhammad; Ekpo, Sunday; Gutierrez, Sebastian (2023)
    This paper presents a systematic approach for solving complex prediction problems with a focus on energy efficiency. The approach involves using neural networks, specifically recurrent and sequential networks, as the main ...

  • On the performance of angular diversity receivers in underground mining VLC systems 

    Palacios Játiva, Pablo; Azurdia-Meza, Cesar A.; Zabala-Blanco, David; Soto, Ismael; Ijaz, Muhammad; Carrera, Diego F. (2022)
    Visible Light Communications (VLC) have generated great interest in the scientific community in the last five years due to their great adaptation to harsh environments. Among the scenarios that can benefit from the advantages ...