Mostrando ítems 20-24 de 24

    • Neighborhood Structure-Based Model for Multilingual Arbitrarily-Oriented Text Localization in Images/Videos 

      Basavaraju, H.T. H.T.; Manjunath Aradhya, V.N.; Guru, D.S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The text matter in an image or a video provides more important clue and semantic information of the particular event in the actual situation. Text localization task stands an interesting and challenging research-oriented ...
    • Optimized DWT Based Digital Image Watermarking and Extraction Using RNN-LSTM 

      Kumari, R. Radha; Kumar, V. Vijaya; Naidu, K. Rama (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The rapid growth of Internet and the fast emergence of multi-media applications over the past decades have led to new problems such as illegal copying, digital plagiarism, distribution and use of copyrighted digital data. ...
    • Performance and Convergence Analysis of Modified C-Means Using Jeffreys-Divergence for Clustering 

      Seal, Ayan; Karlekar, Aditya; Krejcar, Ondrej; Herrera-Viedma, Enrique (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The size of data that we generate every day across the globe is undoubtedly astonishing due to the growth of the Internet of Things. So, it is a common practice to unravel important hidden facts and understand the massive ...
    • Towards a Solution to Create, Test and Publish Mixed Reality Experiences for Occupational Safety and Health Learning: Training-MR 

      Lopez, Miguel Angel; Terrón, Sara; Lombardo, Juan Manuel; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Artificial intelligence, Internet of Things, Human Augmentation, virtual reality, or mixed reality have been rapidly implemented in Industry 4.0, as they improve the productivity of workers. This productivity improvement ...
    • Using Grip Strength as a Cardiovascular Risk Indicator Based on Hybrid Algorithms 

      Bareño-Castellanos, E.F.; Gaona-García, Paulo Alonso; Ortiz-Guzmán, J.E.; Montenegro-Marin, Carlos Enrique (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      This article shows the application and design of a hybrid algorithm capable of classifying people into risk groups using data such as prehensile strength, body mass index and percentage of fat. The implementation was done ...