Now showing items 1-12 of 2907

    • Deep learning-based real-time analysis of lightpath optical constellations [Invited] 

      Ruiz Ramírez, Marc; Sequeira, Diogo Gonçalo; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2022-06-01)
      Article
      Restricted access - publisher's policy
      Optical network automation requires accurate physical layer models, not only for provisioning but also for real-time analysis. In particular, In-Phase (I) and Quadrature (Q) constellation analysis enables deep understanding ...
    • Dynamic sampling rate: harnessing frame coherence in graphics applications for energy-efficient GPUs 

      Anglada Sánchez, Martí; de Lucas Casamayor, Enrique; Parcerisa Bundó, Joan Manuel; Aragón Alcaraz, Juan Luis; González Colás, Antonio María (Springer Nature, 2022-04-10)
      Article
      Open Access
      In real-time rendering, a 3D scene is modelled with meshes of triangles that the GPU projects to the screen. They are discretized by sampling each triangle at regular space intervals to generate fragments which are then ...
    • Implementation of privacy and security for a genomic information system 

      Delgado Mercè, Jaime; Llorente Viejo, Silvia; Reig Gaset, Guillem (IOS Press, 2021)
      Conference report
      Open Access
      Genomic information is key for the implementation of real personalized medicine. Nevertheless, access to this kind of information must be controlled because of its high privacy and security requirements. Several genomic ...
    • FAIR aspects of a genomic information protection and management system 

      Delgado Mercè, Jaime; Llorente Viejo, Silvia (IOS Press, 2021)
      Conference report
      Open Access
      To handle genomic information while supporting FAIR principles, we present GIPAMS, a modular architecture. GIPAMS provides security and privacy to manage genomic information by means of several independent services and ...
    • Poster: Testbed in wireless city mesh network with application to federated learning experiments 

      Freitag, Fèlix; Vilchez Blanco, Pedro; Wei, Lu; Liu, Chun-Hung; Selimi, Mennan (Association for Computing Machinery (ACM), 2021)
      Conference lecture
      Open Access
      The increase of the computing capacity of IoT devices and the appearance of lightweight machine learning frameworks have led to the situation that machine learning can nowadays be run in IoT applications at the network ...
    • Non-linear models for black carbon exposure modelling using air pollution datasets 

      Puig Rovira, Josep M.; Paredes Ahumada, Juan Antonio; Barceló Ordinas, José María; García Vidal, Jorge; Reche Andúgar, Cristina; Sola Salvatierra, Yolanda; Fung, Pascale; Petaja, Tuukka; Hussein, Tareq; Viana Rodríguez, Mar (Elsevier, 2022-09-01)
      Article
      Open Access
      Black carbon (BC) is a product of incomplete combustion, present in urban aerosols and sourcing mainly from road traffic. Epidemiological evidence reports positive associations between BC and cardiovascular and respiratory ...
    • Unveiling the potential of graph neural networks for robust intrusion detection 

      Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2021)
      Conference report
      Open Access
      The last few years have seen an increasing wave of attacks with serious economic and privacy damages, which evinces the need for accurate Network Intrusion Detection Systems (NIDS). Recent works propose the use of Machine ...
    • SAT-hadoop-processor: a distributed remote sensing big data processing software for earth observation applications 

      Boudriki Semlali, Badr Eddine; Freitag, Fèlix (Multidisciplinary Digital Publishing Institute, 2021-11-11)
      Article
      Open Access
      Nowadays, several environmental applications take advantage of remote sensing techniques. A considerable volume of this remote sensing data occurs in near real-time. Such data are diverse and are provided with high velocity ...
    • Predict ATFCM weather regulations using a time-distributed recurrent neural network 

      Mas Pujol, Sergi; Salamí San Juan, Esther; Pastor Llorens, Enric (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Restricted access - publisher's policy
      In recent years, prior to COVID-19, capacity shortfalls in airspace and airports inevitably caused an increase in aircraft delays. Therefore, when it returns to normal conditions, the airspace will exhibit the same capacity ...
    • DO-178C certification of general-purpose GPU software: review of existing methods and future directions 

      Trompouki, Matina Maria; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      —General-Purpose GPU software is considered for use in avionics to satisfy the increased computational requirements of future systems. Therefore, it needs to be certified following the DO-178C guidance as all airborne ...
    • An FPGA accelerator of the wavefront algorithm for genomics pairwise alignment 

      Haghi, Abbas; Marco-Sola, Santiago; Álvarez Martí, Lluc; Diamantopoulos, Dionysios; Hagleitner, Christoph; Moreto Planas, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      In the last years, advances in next-generation sequencing technologies have enabled the proliferation of genomic applications that guide personalized medicine. These applications have an enormous computational cost due to ...
    • RNN-CNN hybrid model to predict C-ATC CAPACITY regulations for en-route traffic 

      Mas Pujol, Sergi; Salamí San Juan, Esther; Pastor Llorens, Enric (Multidisciplinary Digital Publishing Institute (MDPI), 2022-02-01)
      Article
      Open Access
      Meeting the demand with the available airspace capacity is one of the most challenging problems faced by Air Traffic Management. Nowadays, this collaborative Demand–Capacity Balancing process often ends up enforcing Air ...