Recent Submissions

  • Expectation–maximisation based distributed estimation in sensor networks 

    López Valcarce, Roberto; Pagès Zamora, Alba Maria (Institution of Engineering and Technology, 2019-03-01)
    Part of book or chapter of book
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    Estimating the unknown parameters of a statistical model based on the observations collected by a sensor network is an important problem with application in multiple fields. In this setting, distributed processing, by which ...
  • RF-MEMS switches designed for high-performance uniplanar microwave and mm-wave circuits 

    Pradell i Cara, Lluís; Girbau Sala, David; Ribó Pal, Miquel; Casals Terré, Jasmina; Lázaro Guillén, Antonio; Contreras Lizárraga, Adrián; Llamas Morote, Marco Antonio; Heredia Vega, Julio César; Giacomozzi, Flavio; Margesin, Benno (IntechOpen, 2018-07-18)
    Part of book or chapter of book
    Open Access
    Radio frequency microelectromechanical system (RF-MEMS) switches have demonstrated superior electrical performance (lower loss and higher isolation) compared to semiconductor-based devices to implement reconigurable microwave ...
  • Passive optical networks: introduction 

    Altabas, Jose Antonio; Sarmiento Hernández, Samael; Lázaro Villa, José Antonio (John Wiley & sons, 2018-08-15)
    Part of book or chapter of book
    Open Access
    Passive optical networks (PONs) are telecommunication networks that provide services to users by no active elements. Only passive elements are used in the network to transmit the information and signals between users as ...
  • Cascaded V-Net using ROI masks for brain tumor segmentation 

    Casamitjana Díaz, Adrià; Catà, Marcel; Sanchez Muriana, Irina; Combalia, Marc; Vilaplana Besler, Verónica (Springer, 2018)
    Part of book or chapter of book
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    This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, ...
  • SDN-enabled SatCom networks for satellite-terrestrial integration 

    Mendoza, Jesús Fabián; Ferrús Ferré, Ramón Antonio; Sallent Roig, José Oriol (The Institution of Engineering and Technology, 2018)
    Part of book or chapter of book
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    Satellite Communications in the 5G Era explores promising scenarios for 5G Satellite Communications (SatCom), novel paradigms for satellite-terrestrial integration and emerging technologies for the next generation of ...
  • High capacity optical networks based on space division multiplexing 

    Behnam Shariati, Mohammad; Comellas Colomé, Jaume; Klonidis, Dimitrios; Velasco Esteban, Luis Domingo; Tomkos, Ioannis (John Wiley & sons, 2017-09-01)
    Part of book or chapter of book
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    This book discusses Elastic Optical Networks (EONs) from an operational perspective. It presents algorithms that are suitable for real-time operation and includes experimental results to further demonstrate the feasibility ...
  • Telecomunicacions 

    Berenguer Sau, Jordi (Edicions Proa, 2018-01)
    Part of book or chapter of book
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  • Position estimation for IR-UWB systems: DPE, Multi-TOA approach, and their compressive sensing-based modeling 

    Lagunas, Eva; Navarro, Monica; Closas, Pau; Nájar Martón, Montserrat; Garcia-Gutierrez, Ricardo; Floriach, Genís (2018-01-01)
    Part of book or chapter of book
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    The limitations of satellites create a large gap in assistive directional technologies, especially indoors. The methods and advances in alternate directional technologies is allowing for new systems to fill the gaps caused ...
  • Hierarchical object detection with deep reinforcement learning 

    Bellver, Míriam; Giró Nieto, Xavier; Marqués Acosta, Fernando; Torres Viñals, Jordi (IOS Press, 2017-11-23)
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    Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ...
  • Object retrieval with deep convolutional features 

    Mohedano, Eva; Salvador Aguilera, Amaia; McGuinness, Kevin; Giró Nieto, Xavier; O'Connor, Noel; Marqués Acosta, Fernando (IOS Press, 2017-11-23)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ...
  • The appraisal of machine learning techniques for tourism demand forecasting 

    Claveria, Oscar; Monte Moreno, Enrique; Torra Porras, Salvador (Nova Science Publishers, Inc., 2017-11-03)
    Part of book or chapter of book
    Restricted access - publisher's policy
    Machine learning (ML) methods are being increasingly used with forecasting purposes. This study assesses the predictive performance of several ML models in a multiple-input multiple-output (MIMO) setting that allows ...
  • 3D convolutional neural networks for brain tumor segmentation: a comparison of multi-resolution architectures 

    Casamitjana Díaz, Adrià; Puch Giner, Santi; Aduriz Saiz, Asier; Vilaplana Besler, Verónica (Springer, 2017-04-24)
    Part of book or chapter of book
    Open Access

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