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    Optimized test suites for automated testing using different optimization techniques 

    Khari, Manju; Kumar, Prabbat; Burgos, Daniel ; González-Crespo, Rubén (Soft Computing, 2017)
    Automated testing mitigates the risk of test maintenance failure, selects the optimized test suite, improves efficiency and hence reduces cost and time consumption. This paper is based on the development of an automated ...

    A clustering WSN routing protocol based on k-d tree algorithm 

    Anzola, John; Pascual, Jordán; Tarazona, Giovanny; González-Crespo, Rubén (Sensors, 2018-09)
    Clustering in wireless sensor networks has been widely discussed in the literature as a strategy to reduce power consumption. However, aspects such as cluster formation and cluster head (CH) node assignment strategies have ...

    Test usability guidelines and follow conventions. Useful recommendations from web developers 

    Alonso-Virgós, Lucía ; Thomaschewski, Jörg; Pascual Espada, Jordán; González-Crespo, Rubén (Computer Standards and Interfaces, 2020-06)
    Usability measures the quality of use when a user interacts with a website. There are many guidelines and recommendations to improve the user experience on websites. The purpose of this study is to analyze the degree of ...

    Residue properties for the arithmetical estimation of the image quantization table 

    López Hernández, Fernando ; Giménez de Ory, Elena ; Ríos Aguilar, Sergio ; González-Crespo, Rubén (Applied Soft Computing, 2018-06)
    Ttaditionally, a statistical approach has been used to detect the JPEG quantization table used to compressa bitmap. This approach has the disadvantage that at times false solutions are found. These false solutions may have ...

    Decentralized online simultaneous localization and mapping for multi-agent systems 

    Jimenez, Andres C.; García-Díaz, Vicente; González-Crespo, Rubén ; Bolaños, Sandro (Sensors, 2018-08)
    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 ...

    Highly efficient family of iterative methods for solving nonlinear models 

    Behl, Ramandeep; Sarría, Íñigo ; González-Crespo, Rubén ; Magreñán, Á. Alberto (Journal of Computational and Applied Mathematics, 2019-01-15)
    In this study, we present a new highly efficient sixth-order family of iterative methods for solving nonlinear equations along with convergence properties. Further, we extend this family to the multidimensional case ...

    Metamodel to support decision-making from open government data 

    Rodríguez Rojas, Luz Andrea; Cueva Lovelle, Juan Manuel; Tarazona Bermúdez, Giovanny Mauricio; Montenegro, Carlos Enrique; Giménez de Ory, Elena ; González-Crespo, Rubén (Journal of Ambient Intelligence and Humanized Computing, 2018-06)
    The use of public open data is an opportunity for citizens and businesses to create products that contribute to decision-making, monitor and control public institutions as well as to improve the quality of life. Open data ...

    Fingerprint image enhancement and reconstruction using the orientation and phase reconstruction 

    Gupta, Rashmi; Khari, Manju; Gupta, Deepti; González-Crespo, Rubén (Information Sciences, 2020-08)
    Fingerprints are the one of the most important means in the forensics as a means of identification of the criminals owning to the uniqueness and the distinct features in them. Fingerprint identification is considered as ...

    Hyperparameter Optimization for Image Recognition over an AR-Sandbox Based on Convolutional Neural Networks Applying a Previous Phase of Segmentation by Color-Space 

    Restrepo Rodríguez, Andrés Ovidio; Casas Mateus, Daniel Esteban; Gaona-García, Paulo Alonso; Montenegro-Marín, Carlos; González-Crespo, Rubén (Sysmmetry. Basel, 2018-12)
    Immersive techniques such as augmented reality through devices such as the AR-Sandbox and deep learning through convolutional neural networks (CNN) provide an environment that is potentially applicable for motor rehabilitation ...

    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 ...
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