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Axisymmetric smoothed particle magnetohydrodynamics
(Oxford University Press, 2023-01-01)
Article
Open AccessMany 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
(Elsevier, 2022-08-24)
Article
Open AccessCitizens 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
(John Wiley & sons, 2023-05-12)
Article
Open AccessA 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
(Elsevier, 2023-10)
Article
Open AccessThe 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
(2023)
Article
Open AccessPatients 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)
(2023)
Article
Open AccessThe 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
(2023-05-11)
Article
Restricted access - publisher's policyIn 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
(2023-03-16)
Article
Open AccessThis 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
(Elsevier, 2023-07)
Article
Open AccessOne 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
(2023-04)
Article
Open AccessIn 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
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-02-07)
Article
Open AccessA 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
(2022-01-09)
Article
Open AccessVarietal 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 ...