• closedAccess   Locations Selection for Periodic Radio Map Update in WiFi Fingerprinting 

      Mendoza-Silva, Germán Martín; Torres-Sospedra, Joaquín; Huerta, Joaquin Springer (2018)
      The construction and update of a radio map are usually referred as the main drawbacks of WiFi fingerprinting, a very popular method in indoor localization research. For radio map update, some studies suggest taking new ...
    • openAccess   Long-Term Analyses of the Rate of Perceived Exertion as an Indicator of Intensity in Women’s Basketball during a Relegation Play-off 

      Batalla Gavaldà, Abraham; Beltran-Garrido, Jose Vicente; Garrosa Martín, Gerson; Cecília-Gallego, Pau; Montoliu Colás, Raul; Corbi, Francisco MDPI (2022-11)
      Knowledge of internal load is essential to understand the effect of training and competition on athletes. The aim of this study was to analyse the validity of the rate of perceived exertion (RPE) scale as an indicator of ...
    • openAccess   Long-Term WiFi Fingerprinting Dataset for Research on Robust Indoor Positioning 

      Mendoza-Silva, Germán Martín; Richter, Philipp; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Huerta, Joaquin MDPI (2018-01-16)
      WiFi fingerprinting, one of the most popular methods employed in indoor positioning, currently faces two major problems: lack of robustness to short and long time signal changes and difficult reproducibility of new methods ...
    • openAccess   Looking for “in-between” Places 

      Portela, Manuel; Acedo Sánchez, Albert; Granell, Carlos Media Theory (2018)
      This article develops the concept of “in-between” places in relation to the study of language, perceptions and memorieswithin the broader mediation of cartography. We held an empirical qualitative studyin the city of ...
    • closedAccess   Loss compensation in time-dependent elastic metamaterials 

      Torrent, Daniel; Parnell, William J.; Norris, Andrew N. American Physical Society (2018)
      Materials with properties that are modulated in time are known to display wave phenomena showing energy increasing with time, with the rate mediated by the modulation. Until now there has been no accounting for ...
    • openAccess   Lossy Compression Methods for Performance-Restricted Wearable Devices 

      Klus, Lucie; Lohan, Elena Simona; Granell, Carlos; Nurmi, Jari CEUR Workshop Proceedings (2020)
      With the increasing popularity, diversity, and utilization of wearable devices, the data transfer-andstorage efficiency becomes increasingly important. This paper evaluates a set of compression techniques regarding their ...
    • openAccess   Low-cost single-pixel 3D imaging by using an LED array 

      Salvador Balaguer, Eva; Latorre Carmona, Pedro; Chabert, Carlos; Pla, Filiberto; Lancis, Jesús; Tajahuerce, Enrique Optical Society of America (2018)
      We propose a method to perform color imaging with a single photodiode by using light structured illumination generated with a low-cost color LED array. The LED array is used to generate a sequence of color Hadamard ...
    • openAccess   Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification 

      Haut, Juan M.; Bernabé, Sergio; Paoletti, Mercedes Eugenia; Fernandez-Beltran, Ruben; Plaza, Antonio; Plaza, Javier IEEE (2018-11)
      Convolutional neural networks have emerged as an excellent tool for remotely sensed hyperspectral image (HSI) classification. Nonetheless, the high computational complexity and energy requirements of these models typically ...
    • closedAccess   Lp-calculus Approach to the Random Autonomous Linear Differential Equation with Discrete Delay 

      Calatayud, Julia; Cortés, Juan Carlos; Jornet, Marc Springer Nature Switzerland AG (2019-06-19)
      In this paper, we provide a full probabilistic study of the random autonomous linear differential equation with discrete delay τ > 0: x (t) = ax(t) + bx(t − τ ), t ≥ 0, with initial condition x(t) = g(t), −τ ≤ t ≤ 0. ...
    • openAccess   Machine learning assisted intelligent design of meta structures: a review 

      He, Liangshu; Li, Yan; Torrent, Daniel; Zhuang, Xiaoying; Rabczuk, Timon; Jin, Yabin OAE Publishing (2023-10)
      In recent years, the rapid development of machine learning (ML) based on data-driven or environment interaction has injected new vitality into the field of meta-structure design. As a supplement to the traditional ...
    • openAccess   Magnetic Field as a Characterization of Wide and Narrow Spaces in a Real Challenging Scenario Using Dynamic Time Warping 

      Perez-Navarro, Antoni; Montoliu Colás, Raul; Torres-Sospedra, Joaquín; Conesa, Jordi Institute of Electrical and Electronics Engineers (2018-11-15)
      This paper presents a study of indoor positioning in public zones of the Parc Taulí Hospital in Sabadell. It is a challenging scenario because: (1) it combines wide spaces with middle sized and narrow spaces; (2) it is a ...
    • openAccess   Magnetic field based Indoor positioning using the Bag of Words paradigm 

      Montoliu Colás, Raul; Torres-Sospedra, Joaquín; Belmonte-Fernández, Óscar Institute of Electrical and Electronics Engineers (2016-11-17)
      In this paper, A Bag of Words based method is presented to test a magnetic field based indoor positioning method. The Indoor positioning problem is solved as a pattern recognition problem, where each reference point is a ...
    • openAccess   Majorana-like Zero Modes in Kekulé Distorted Sonic Lattices 

      Gao, Penglin; Torrent, Daniel; Cervera, Francisco; San-Jose, Pablo; Sánchez-Dehesa, José; Christensen, Johan American Physical Society (2019)
      Topological phases have recently been realized in bosonic systems. The associated boundary modes between regions of distinct topology have been used to demonstrate robust waveguiding, protected from defects by the topology ...
    • openAccess   Managing mechanisms for collaborative new-product development in the ceramic tile design chain 

      Agost, Maria-Jesus; Company, Pedro; Romero Subirón, Fernando Graz University of Technology, Institut für Informationssysteme und Computer Medien (2011)
      This paper focuses on improving the management of New-Product Development (NPD) processes within the particular context of a cluster of enterprises that cooperate through a network of intra- and inter-firm relations. ...
    • closedAccess   Managing user-generated information in geospatial cyberinfrastructures 

      Díaz Sánchez, Laura; Granell, Carlos; Gould, Michael; Huerta, Joaquin Elsevier (2011)
      Information systems built using standards-based distributed services have become the default computing paradigm adopted by the geospatial community for building information infrastructures also known as Spatial Data ...
    • openAccess   Mapping Frictions Inhibiting Bicycle Commuting 

      Pajarito Grajales, Diego Fabian; Gould, Michael MDPI (2018-10)
      Urban cycling is a sustainable transport mode that many cities are promoting. However, few cities are taking advantage of geospatial technologies to represent and analyse cycling mobility based on the behavioural patterns ...
    • openAccess   Mapping microarray gene expression data into dissimilarity spaces for tumor classification 

      García, Vicente; Sánchez Garreta, Josep Salvador Elsevier (2015-02)
      Microarray gene expression data sets usually contain a large number of genes, but a small number of samples. In this article, we present a two-stage classification model by combining feature selection with the ...
    • closedAccess   Mapping the intensity function of a non-stationary point process in unobserved areas 

      Gabriel, Edith; Rodríguez-Cortés, Francisco Javier; Coville, jerome; Mateu, Jorge; Chadoeuf, Joël Springer (2022)
      Seismic networks provide data that are used as basis both for public safety decisions and for scientific research. Their configuration affects the data completeness, which in turn, critically affects several seismological ...
    • closedAccess   Mark variograms for spatio-temporal point processes 

      Stoyan, D.; Rodríguez-Cortés, Francisco Javier; Mateu, Jorge; Gille, Wilfried Elsevier (2017)
      A spatio-temporal point process can be transformed into two marked point processes by taking the times or locations as marks. For these marked point processes mark variograms can be defined, opening a new way for the ...
    • openAccess   Masked Auto-Encoding Spectral-Spatial Transformer for Hyperspectral Image Classification 

      Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto; Yokoya, Naoto IEEE (2022-10-28)
      Deep learning has certainly become the dominant trend in hyperspectral (HS) remote sensing (RS) image classification owing to its excellent capabilities to extract highly discriminating spectral–spatial features. In this ...