Now showing items 1-20 of 72

    • Learning channel-wise ordered aggregations in deep neural networks 

      Domínguez Catena, Iris Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Galar Idoate, Mikel Upna Orcid (Springer, 2021)   Contribución a congreso / Biltzarrerako ekarpena
      One of the most common techniques for approaching image classification problems are Deep Neural Networks. These systems are capable of classifying images with different levels of detail at different levels of detail, with ...
    • Enhancing the efficiency of the interval-valued fuzzy rule-based classifier with tuning and rule selection 

      Sanz Delgado, José Antonio Upna Orcid; Asmus, Tiago Upna; Osa Hernández, Borja de la Upna; Bustince Sola, Humberto Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Interval-Valued fuzzy rule-based classifier with TUning and Rule Selection, IVTURS, is a state-of-the-art fuzzy classifier. One of the key point of this method is the usage of interval-valued restricted equivalence functions ...
    • General grouping functions 

      Santos, Helida; Pereira Dimuro, Graçaliz Upna Orcid; Asmus, Tiago Upna; Sanz Delgado, José Antonio Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a ...
    • A gap waveguide fed circular polarization antennas in the millimeter wave range 

      Pérez, Dayan Upna Orcid; Torres García, Alicia E. Upna Orcid; Ederra Urzainqui, Íñigo Upna Orcid; Beruete Díaz, Miguel Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In this work, a novel circular polarization (CP) antennas in ridge gap waveguide (RGW) working in the V-band of the millimeter-wave spectrum is presented. CP is generated in a simple and effective way by means of two ...
    • Optimal strain gauge configurations for the estimation of mechanical loads in the main shaft of HAWT 

      Iriarte Goñi, Xabier; Aginaga García, Jokin; Lerga Valencia, Francisco Javier; Gainza González, Gorka; Ros Ganuza, Javier; Bacaicoa Díaz, Julen (IOP Publishing, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In Structural Health Monitoring of wind turbines, measuring the mechanical loads is a key issue. The customary techniques for this task use a full-bridge strain gauge configuration to measure each of the six load components ...
    • A biased-randomized learnheuristic for solving the team orienteering problem with dynamic rewards 

      Reyes-Rubiano, Lorena Silvana; Juan, Ángel Alejandro; Bayliss, C.; Panadero, Javier; Faulín Fajardo, Javier Upna Orcid; Copado, P. (Elsevier, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In this paper we discuss the team orienteering problem (TOP) with dynamic inputs. In the static version of the TOP, a fixed reward is obtained after visiting each node. Hence, given a limited fleet of vehicles and a threshold ...
    • An empirical study on supervised and unsupervised fuzzy measure construction methods in highly imbalanced classification 

      Uriz Martín, Mikel Xabier Upna; Paternain Dallo, Daniel Upna Orcid; Bustince Sola, Humberto Upna Orcid; Galar Idoate, Mikel Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena
      The design of an ensemble of classifiers involves the definition of an aggregation mechanism that produces a single response obtained from the information provided by the classifiers. A specific aggregation methodology ...
    • Additional feature layers from ordered aggregations for deep neural networks 

      Domínguez Catena, Iris Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Galar Idoate, Mikel Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena
      In the last years we have seen huge advancements in the area of Machine Learning, specially with the use of Deep Neural Networks. One of the most relevant examples is in image classification, where convolutional neural ...
    • Development of energy management strategies for the sizing of a fast charging station for electric buses 

      Ojer Palacios, Iñaki Upna; Berrueta Irigoyen, Alberto Upna Orcid; Pascual Miqueleiz, Julio María Upna Orcid; Sanchis Gúrpide, Pablo Upna Orcid; Ursúa Rubio, Alfredo Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena
      The electric vehicle contributes to reduce greenhouse gases emissions and get a greater integration of renewable energy. In this context, the implementation of urban buses implies the development of new grid infrastructures ...
    • New hexagonal CORPS-BFN for multibeam antenna applications 

      Biurrun Quel, Carlos Upna Orcid; Montesano, Antonio; Ederra Urzainqui, Íñigo Upna Orcid; Iriarte Galarregui, Juan Carlos Upna Orcid; Río Bocio, Carlos del Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This work presents a new topology of a Coherently Radiating Periodic Structure - Beam Forming Network (CORPS-BFN) and its application for multibeam systems. A unit cell, consisting of a transition from a coaxial input to ...
    • Comparison of modified soret lenses for dual band integrated detectors 

      Torres García, Alicia E. Upna Orcid; Pérez Escudero, José Manuel Upna Orcid; Gonzalo García, Ramón Upna Orcid; Ederra Urzainqui, Íñigo Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This paper presents the comparison of different modified Soret lenses suitable for a millimeter and submillimeterwave dualband integrated pixel detectors. The approach is based on the modification of a printed planar Soret ...
    • A strategic multistage tactical two-stage stochastic optimization model for the airline fleet management problem 

      Serrano Hernández, Adrián Upna Orcid; Cadarso, Luis; Faulín Fajardo, Javier Upna Orcid (Elsevier, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This work proposes stochastic optimization for the airline fleet management problem, considering uncertainty in the demand, operational costs, and fares. In particular, a multistage tree is proposed, compounded of strategic ...
    • Evolution of L-fuzzy contexts associated with criteria 

      Alcalde, Cristina; Burusco Juandeaburre, Ana Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This paper will delve deeper into the general study of the L-fuzzy contexts associated with criteria analyzing situations with a known evolution over time. These criteria may be independent or dependent on each other. We ...
    • Learning super-resolution for Sentinel-2 images with real ground truth data from a reference satellite 

      Galar Idoate, Mikel Upna Orcid; Sesma Redín, Rubén; Ayala Lauroba, Christian; Albizua, Lourdes; Aranda, C. (Copernicus, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Copernicus program via its Sentinel missions is making earth observation more accessible and affordable for everybody. Sentinel-2 images provide multi-spectral information every 5 days for each location. However, the maximum ...
    • Optical fiber vacuum sensor based on modal interferometer and PDMS coating 

      Ascorbe Muruzabal, Joaquín Upna Orcid; Fuentes Lorenzo, Omar Upna; Corres Sanz, Jesús María Upna Orcid; Arregui San Martín, Francisco Javier Upna Orcid; Matías Maestro, Ignacio Upna Orcid (IEEE, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This work studies the behavior of polydimethylsiloxane (PDMS) as a transducer for optical vacuum pressure measurements. The optical structure chosen for this device is a modal interferometer achieved by splicing a coreless ...
    • Worst expected ramp rates from cloud speed measurements 

      Wang, Guang Chao; Bosch, Juan Luis; Kurtz, Ben; Parra Laita, Íñigo de la Upna Orcid; Wu, Elynn (IEEE, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Large PV power ramp rates are of concern and sometimes even explicitly restricted by grid operators. Battery energy storage systems can smooth the power output and maintain ramp rates within permissible limits. To enable ...
    • On the influence of interval normalization in IVOVO fuzzy multi-class classifier 

      Uriz Martín, Mikel Xabier Upna; Paternain Dallo, Daniel Upna Orcid; Bustince Sola, Humberto Upna Orcid; Galar Idoate, Mikel Upna Orcid (Springer, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      IVOVO stands for Inverval-Valued One-Vs-One and is the combination of IVTURS fuzzy classifier and the One-Vs-One strategy. This method is designed to improve the performance of IVTURS in multi-class problems, by dividing ...
    • Aggregation functions based on the Choquet integral applied to image resizing 

      Bueno, Jéssica C. S.; Dias, Camila A.; Pereira Dimuro, Graçaliz Upna Orcid; Santos, Helida; Bustince Sola, Humberto Upna Orcid (Atlantis Press, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The rising volume of data and its high complexity has brought the need of developing increasingly efficient knowledge extraction techniques, which demands efficiency both in computational cost and in accuracy. Most of ...
    • High-speed analysis of SMB2 file sharing traffic without TCP stream reconstruction 

      Berrueta Irigoyen, Eduardo Upna Orcid; Morató Osés, Daniel Upna Orcid; Magaña Lizarrondo, Eduardo Upna Orcid; Izal Azcárate, Mikel Upna Orcid (IEEE, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This paper presents a file sharing traffic analysis methodology for Server Message Block (SMB), a common protocol in the corporate environment. The design is focused on improving the traffic analysis rate that can be ...
    • Energy harvesting approaches in IoT scenarios with very low ambient energy 

      López Martín, Antonio Upna Orcid; Algueta-Miguel, Jose M. Upna Orcid; Matías Maestro, Ignacio Upna Orcid (European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ), 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The feasibility of multi-source energy harvesting in Internet of Things (IoT) scenarios with low and intermittent ambient energy is addressed. As a relevant case study, application to a smart cargo container system is ...