Mostrando ítems 7-9 de 20

    • Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering 

      Vélez de Mendizabal, Iñaki; Vidriales, Xabier; Basto-Fernandes, Vitor; Ezpeleta, Enaitz; Méndez, José Ramón; Zurutuza, Urko (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...
    • IoT Detection System for Mildew Disease in Roses Using Neural Networks and Image Analysis 

      Torres, Laura; Romero, Luis; Aguirre, Edgar; Ferro Escobar, Roberto (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Artificial intelligence presents different approaches, one of these is the use of neural network algorithms, a particular context is the farming sector and these algorithms support the detection of diseases in flowers, ...
    • ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System 

      Qasim Gandapur, Maryam; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ...