Now showing items 1-3 of 3

    • A Comprehensive Systematic Review of Neural Networks and Their Impact on the Detection of Malicious Websites in Network Users 

      Gamboa-Cruzado, Javier; Briceño-Ochoa, Juan; Huaysara-Ancco, Marco; Alva-Arévalo, Alberto; Ríos-Vargas, Caleb; Arangüena Yllanes, Magaly; Rodriguez-Baca, Liset S. (International Journal of Interactive Mobile Technologies (iJIM), 2023)
      Acceso abierto
      The large branches of Machine Learning represent an immense support for the detection of malicious websites, they can predict whether a URL is malicious or benign, leaving aside the cyber attacks that can generate ...
    • Machine Learning for Feeling Analysis in Twitter Communications: A Case Study in HEYDRU!, Perú 

      Alegre-Veliz, Rosa; Gaspar-Ortiz, Pedro; Gamboa-Cruzado, Javier; Rodríguez Baca, Liset; Grandez Pizarro, Waldy; Menéndez Mueras, Rosa; Chávez Herrera, Carlos (International Journal of Interactive Mobile Technologies (iJIM), 2022-10-21)
      Acceso abierto
      At present, sentiment analysis has become a trend; above all, in digital product development companies, as it is essential for rapid and automatic analysis. Sentiment analysis deals with emotions with the help of software, ...
    • Machine Learning for Management in Software-defined Networks: A Systematic Literature Review 

      Aparcana-Tasayco, Andres J.; Gamboa-Cruzado, Javier (DBpia, 2022)
      Acceso restringido
      Software-Defined Networking (SDN) has emerged as a new paradigm for managing data networks, and Machine Learning (ML) techniques have become relevant in the scientific community to solve management problems. Research on ...