Mostrando ítems 21-27 de 27

    • Optimizing Fast Fourier Transform (FFT) Image Compression using Intelligent Water Drop (IWD) Algorithm 

      Kaur, Surinder; Chaudhary, Gopal; Dinesh Kumar, Javalkar; Pillai, Manu S.; Gupta, Yash; Khari, Manju; García-Díaz, Vicente; Parra Fuente, Javier (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      Digital image compression is the technique in digital image processing where special attention is provided in decreasing the number of bits required to represent a digital image. A wide range of techniques have been developed ...
    • Real‐time force doors detection system using distributed sensors and neural networks 

      Pascual Espada, Jordán; García-Díaz, Vicente; Nuñez-Valdez, Edward Rolando; González-Crespo, Rubén (International Journal of Intelligent Systems, 22/07/2019)
      Intelligent security systems have evolved enormously in the last few years. Most of these security systems use a group of physics sensors and algorithms for data analysis and communication systems to notify security alarms. ...
    • Replacing email protocols with blockchain-based smart contracts 

      Chamadoira González, José; García-Díaz, Vicente; Núñez-Valdez, Edward Rolando; Gómez Gómez, Alberto; González-Crespo, Rubén (Cluster Computing, 09/2020)
      Email services nowadays are flooded by spam and phishing attacks. Email service providers build their own email filters to protect the final users from such attacks resulting in an overall better experience. However, the ...
    • Softwareland Chronicles: A Software Development Meta-Process Proposal 

      Bolaños Castro, Sandro Javier; González-Crespo, Rubén; Pascual-Espada, Jordán; García-Díaz, Vicente; Osis, Janis (Applied Computer Systems, 05/2016)
      This paper presents the software development meta-process (SD-MP) as a proposal to set up software projects. Within this proposal we offer conceptual elements that help solve the war of methodologies and processes in favor ...
    • Supporting academic decision making at higher educational institutions using machine learning-based algorithms 

      Nieto, Yuri; García-Díaz, Vicente; Montenegro, Carlos Enrique; González-Crespo, Rubén (Soft Computing, 2018)
      Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables ...
    • Towards a Standard-based Domain-specific Platform to Solve Machine Learning-based Problems 

      Cueva-Lovelle, Juan Manuel; García-Díaz, Vicente; Pelayo García-Bustelo, B. Cristina; Pascual-Espada, Jordán (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      Machine learning is one of the most important subfields of computer science and can be used to solve a variety of interesting artificial intelligence problems. There are different languages, framework and tools to define ...
    • Usage of machine learning for strategic decision making at Higher Educational Institutions 

      Nieto, Yuri; García-Díaz, Vicente; Montenegro, Carlos Enrique; González, Claudio Camilo; González-Crespo, Rubén (IEEE Access, 2019)
      Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies, strategies, and actions that the institutions make as a whole. Decision's structures at HEIs are depicted in this paper and ...