Recent Submissions

  • Axisymmetric smoothed particle magnetohydrodynamics 

    García Senz, Domingo; Wissing, Robert; Cabezón Gómez, Rubén Martín; Vurgun, Eda; Linares Herreros, María Paz (Oxford University Press, 2023-01-01)
    Article
    Open Access
    Many astrophysical and terrestrial scenarios involving magnetic fields can be approached in axial geometry. Although the smoothed particle hydrodynamics (SPH) technique has been successfully extended to magneto-hydrodynamics ...
  • Analysing gendered mobility patterns in Barcelona through spatiotemporal segmentation 

    Montero Mercadé, Lídia; Mejía-Dorantes, Lucía; Barceló Bugeda, Jaime (Elsevier, 2022-08-24)
    Article
    Open Access
    Citizens take part in different activities to satisfy their needs, to invest in their socio-economic progress, participate in social and health activities that improve their well-being. However, activity participation is ...
  • Modeling SARS-CoV-2 true infections in Catalonia through a digital twin 

    Fonseca Casas, Pau; Garcia Subirana, Joan; García Carrasco, Víctor (John Wiley & sons, 2023-05-12)
    Article
    Open Access
    A dynamic view of the evolution of the infections of SARS-CoV-2 in Cataloniausing a Digital Twin approach that forecasts the true infection curve ispresented. The forecast model incorporates the vaccination process, ...
  • Critical infrastructure awareness based on IoT context data 

    Vila Gómez, Marc; Sancho Samsó, María Ribera; Teniente López, Ernest; Vilajosana Guillén, Xavier (Elsevier, 2023-10)
    Article
    Open Access
    The Internet of Things (IoT) represents a powerful new paradigm for connecting and communicating with the world around us. It has the potential to transform the way we live, work, and interact with our surroundings. IoT ...
  • An architecture for providing personalized digital health 

    Delgado Mercè, Jaime; Llorente Viejo, Silvia (2023)
    Article
    Open Access
    Patients need mechanisms to integrate health information coming from different sources, including personal devices. This would lead to Personalized Digital Health (PDH). HIPAMS (Health Information Protection And Management ...
  • MedSecurance Project: advanced security-for-safety assurance for medical device IoT (IoMT) 

    Gallos, Parisis; DeLong, Rance; Matragkas, Nicholas; Blanchard, Allan; Mraidha, Chokri; Epiphaniou, Gregory; Maple, Carsten; Katzis, Konstantinos; Delgado Mercè, Jaime; Llorente Viejo, Silvia (2023)
    Article
    Open Access
    The MedSecurance project focus on identifying new challenges in cyber security with focus on hardware and software medical devices in the context of emerging healthcare architectures. In addition, the project will review ...
  • A Docker-based federated learning framework design and deployment for multi-modal data stream classification 

    Arijit, Nandi; Xhafa Xhafa, Fatos; Kumar, Rohit (2023-05-11)
    Article
    Restricted access - publisher's policy
    In the high-performance computing (HPC) domain, federated learning has gained immense popularity. Especially in emotional and physical health analytics and experimental facilities. Federated learning is one of the most ...
  • An approach based on simulation and optimisation for the intermodal dispatching of public transport and ride-pooling services 

    Lorente García, Ester; Codina Sancho, Esteve; Barceló Bugeda, Jaime; Nökel, Klaus (2023-03-16)
    Article
    Open Access
    This paper provides a simulation and optimisation-based system to combine public transport (PT) with ride-pooling services (RP). According to the International Transport Forum (ITF), the RP could be established as a feeder ...
  • Generating valid test data through data cloning 

    Oriol Hilari, Xavier; Teniente López, Ernest; Maynou Yélamos, Marc; Nadal Francesch, Sergi (Elsevier, 2023-07)
    Article
    Open Access
    One of the most difficult, time-consuming and error-prone tasks during software testing is that of manually generating the data required to properly run the test. This is even harder when we need to generate data of a ...
  • Join operation for semantic data enrichment of asynchronous time series data 

    Garcia Climent, Eloi; Peyman, Mohammad; Serrat Piè, Carles; Xhafa Xhafa, Fatos (2023-04)
    Article
    Open Access
    In this paper, we present a novel framework for enriching time series data in smart cities by supplementing it with information from external sources via semantic data enrichment. Our methodology effectively merges multiple ...
  • A continuous process for validation, verification, and accreditation of simulation models 

    Fonseca Casas, Pau (Multidisciplinary Digital Publishing Institute (MDPI), 2023-02-07)
    Article
    Open Access
    A simulation model, and more generically, a model, is founded on its assumptions. Assurance of the model’s correctness and correct use is needed to achieve accreditation. Often the exercise of working with a specific code ...
  • Combining computer vision and deep learning to classify varieties of Prunus dulcis for the nursery plant industry 

    Borraz Martínez, Sergio; Simó Cruanyes, Joan; Gras Moreu, Anna Maria; Boqué, Ricard; Tarrés Ruiz, Francisco (2022-01-09)
    Article
    Open Access
    Varietal control to avoid unwanted varietal mixtures is an important objective for the nursery plant industry. In this study, we have developed and analyzed the capabilities of a computer vision system based on deep learning ...

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