Mostrando ítems 1-18 de 18

    • A model-driven approach to generate and deploy videogames on multiple platforms 

      Núñez-Valdez, Edward Rolando ; García-Díaz, Vicente; Cueva Lovelle, Juan Manuel; Saez Achaerandio, Yago; González-Crespo, Rubén (Journal of Ambient Intelligence and Humanized Computing, 06/2017)
      Currently, videogame development for mobile devices is a highly profitable and competitive industry worldwide. This profitability can be ascribed to the popularity that new technologies such as smartphones and tablets have ...
    • A personal knowledge management metamodel based on semantic analysis and social information 

      López-Quintero, J F; Cueva Lovelle, Juan Manuel; González-Crespo, Rubén ; García-Díaz, Vicente (Soft Computing, 03/2018)
      This article describes the development of a functional architecture for personal knowledge management (PKM), defined from the lessons-learnt concept registered in a mass-use social network analyzed with an algorithm of ...
    • A Review on Intrusion Detection Systems and Techniques 

      Singh Bhati, Nitesh; Khari, Manju; García-Díaz, Vicente; Verdú, Elena (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12/2020)
      An Intrusion Detection System (IDS) is a network security system that detects, identifies, and tracks an intruder or an invader in a network. As the usage of the internet is growing every day in our society, the IDS is ...
    • Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data 

      Mondragón, Victor M; García-Díaz, Vicente; Porcel, Carlos; González-Crespo, Rubén (Soft Computing, 03/2017)
      This paper describes a new proposal for interactive television which is an answer to a continuous change in the traditional television as consequence of the inclusion and evolution of the digital social networks, the ...
    • An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis 

      García-Díaz, Vicente; Pascual-Espada, Jordán; González-Crespo, Rubén; Pelayo García-Bustelo, B. Cristina; Cueva Lovelle, Juan Manuel (Applied Soft Computing, 05/2017)
      Social networks link people and machines, providing a huge amount of information that grows very fast without the possibility to be handled manually. Moreover, opinion mining is the process of using natural language ...
    • An artificial neural network approach for predicting hypertension using NHANES data 

      López-Martínez, Fernando; Núñez-Valdez, Edward Rolando; González-Crespo, Rubén ; García-Díaz, Vicente (Scientific Reports, 01/12/2020)
      This paper focus on a neural network classification model to estimate the association among gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It also shows that artificial neural network ...
    • An Intelligent Mobile Web Browser to Adapt the Mobile Web as a Function of the Physical Environment 

      Pascual-Espada, Jordán; García-Díaz, Vicente; González-Crespo, Rubén; Pelayo García-Bustelo, B. Cristina; Cueva Lovelle, Juan Manuel (IEEE Latin America Transactions, 11/2013)
      Today, millions of users all over the world visit websites using their Smartphones. Mobile devices have several features that may contribute to worsen the user experience when using mobile webs, such as: small displays and ...
    • Blockchain Based Cloud Management Architecture for Maximum Availability 

      Arias Maestro, Alberto; Sanjuán Martínez, Óscar; Teredesai, Ankur M.; García-Díaz, Vicente (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      Contemporary cloud application and Edge computing orchestration systems rely on controller/worker design patterns to allocate, distribute, and manage resources. Standard solutions like Apache Mesos, Docker Swarm, and ...
    • Decentralized online simultaneous localization and mapping for multi-agent systems 

      Jimenez, Andres C.; García-Díaz, Vicente; González-Crespo, Rubén ; Bolaños, Sandro (Sensors, 08/2018)
      Planning tasks performed by a robotic agent require previous access to a map of the environment and the position where the agent is located. This creates a problem when the agent is placed in a new environment. To solve ...
    • Fuzzy decision method to improve the information exchange in a vehicle sensor tracking system 

      Cueva-Fernandez, Guillermo; Pascual-Espada, Jordán; García-Díaz, Vicente; González-Crespo, Rubén (Applied Soft Computing, 10/2015)
      Internet of Things is based on the identification of real-world objects in a unique way that interconnects them by means of communication interfaces. Such a simple idea allows the emergence of a huge number of new applications ...
    • Fuzzy system to adapt web voice interfaces dynamically in a vehicle sensor tracking application definition 

      Cueva-Fernandez, Guillermo; Pascual-Espada, Jordán; García-Díaz, Vicente; González-Crespo, Rubén; García-Fernandez, Nestor (Soft Computing, 08/2016)
      The Vitruvius platform is focused on vehicles and the possibility of working with their multiple sensors, and the real-time data they can provide. With Vitruvius, users can create software applications specialized for the ...
    • JGraphs: A Toolset to Work with Monte-Carlo Tree Search-Based Algorithms 

      García-Díaz, Vicente; Núñez-Valdez, Edward Rolando; González García, Cristian; Gómez Gómez, Alberto; González-Crespo, Rubén (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12/2020)
      Monte-Carlo methods are the basis for solving many computational problems using repeated random sampling in scenarios that may have a deterministic but very complex solution from a computational point of view. In recent ...
    • 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 ...
    • 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 ...