Articles de revista: Enviaments recents

Ara es mostren els items 1-12 de 41

    • Innovative predictive approach towards a personalized oxygen dosing system 

      Pascual Saldaña, Heribert; Masip Bruin, Xavier; Asensio Garcia, Adrian; Alonso Beltran, Albert; Blanco Vich, Isabel (Multidisciplinary Digital Publishing Institute (MDPI), 2024-01-24)
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      Despite the large impact chronic obstructive pulmonary disease (COPD) that has on the population, the implementation of new technologies for diagnosis and treatment remains limited. Current practices in ambulatory oxygen ...

    • Leveraging network data analytics function and machine learning for data collection, resource optimization, security and privacy in 6G networks 

      Gkonis, Panagiotis; Nomikos, Nikolaos; Trakadas, Panagiotis; Sarakis, Lambros; Xylouris, George; Masip Bruin, Xavier; Martrat, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-30)
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      The full deployment of sixth-generation (6G) networks is inextricably connected with a holistic network redesign able to deal with various emerging challenges, such as integration of heterogeneous technologies and devices, ...

    • Cybersecurity in supply chain systems: the farm-to-fork use case 

      Leligou, Helen C.; Lakka, Alexandra; Karkazis, Panagiotis; Pita Costa, Joao; Marín Tordera, Eva; Dinis Santos, Henrique Manuel; Alvarez Romero, Antonio (2024-01-03)
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      Modern supply chains comprise an increasing number of actors which deploy different information technology systems that capture information of a diverse nature and diverse sources (from sensors to order information). While ...

    • A survey on IoT-edge-cloud continuum systems: Status, challenges, use cases, and open issues 

      Gkonis, Panagiotis; Giannopoulos, Anastasios; Trakadas, Panagiotis; Masip Bruin, Xavier; D'Andria, Francesco (2023-11-28)
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      The rapid growth in the number of interconnected devices on the Internet (referred to as the Internet of Things—IoT), along with the huge volume of data that are exchanged and processed, has created a new landscape in ...

    • A differential privacy protection-based federated deep learning framework to fog-embedded architectures 

      Gutiérrez Escobar, Norma; Otero Calviño, Beatriz; Rodríguez Luna, Eva; Utrera Iglesias, Gladys Miriam; Mus León, Sergi; Canal Corretger, Ramon (Elsevier, 2024-04)
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      Nowadays, companies collect massive quantities of data to enhance their operations, often at the expense of sharing user sensible information. This data is widely used to train Deep Learning (DL) neural networks to model, ...

    • A dispersion analysis of uniformly high order, interior and boundaries, mimetic finite difference solutions of wave propagation problems 

      Rojas, Otilio; Mendoza, Larry; Otero Calviño, Beatriz; Villamizar Morales, Jorge; Calderón, Giovanni; Castillo, José; Miranda, Guillermo (Springer, 2024)
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      A preliminary stability and dispersion study for wave propagation problems is developed for mimetic finite difference discretizations. The discretization framework corresponds to the fourth-order staggered-grid Castillo-Grone ...

    • Use of automatic 6-minute walking test recording system in patients with chronic respiratory diseases 

      Torres Castro, Rodrigo; Pascual Saldaña, Heribert; Alonso Beltran, Albert; Gimeno Santos, Elena; Palomo Gil, Maria; Barberà Mir, Joan Albert; Masip Bruin, Xavier; Batlle, Jaume; Bigorra Llosas, Joan; Blanco Vich, Isabel (2023-10-01)
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      To the editor: Physical capacity tests are used for the diagnosis, prognosis and monitoring of chronic respiratory diseases (CRD), such as Chronic Obstructive Pulmonary Disease (COPD) or Pulmonary Hypertension (PH).1 Among ...

    • An automotive case study on the limits of approximation for object detection 

      Caro Roca, Martí; Tabani, Hamid; Abella Ferrer, Jaume; Moll Echeto, Francisco de Borja; Morancho Llena, Enrique; Canal Corretger, Ramon; Altet Sanahujes, Josep; Calomarde Palomino, Antonio; Cazorla Almeida, Francisco Javier; Rubio Romano, Antonio; Fontova Muste, Pau; Fornt Mas, Jordi (2023-05)
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      Accés restringit per política de l'editorial
      The accuracy of camera-based object detection (CBOD) built upon deep learning is often evaluated against the real objects in frames only. However, such simplistic evaluation ignores the fact that many unimportant objects ...

    • Deep-learning based detection for cyber-attacks in IoT networks: A distributed attack detection framework 

      Jullian Parra, Olivia; Otero Calviño, Beatriz; Rodríguez Luna, Eva; Gutiérrez Escobar, Norma; Antona Pizà, Héctor; Canal Corretger, Ramon (Springer Nature, 2023-02-04)
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      The widespread use of smart devices and the numerous security weaknesses of networks has dramatically increased the number of cyber-attacks in the internet of things (IoT). Detecting and classifying malicious traffic is ...

    • A survey of machine and deep learning methods for privacy protection in the Internet of things 

      Rodríguez Luna, Eva; Otero Calviño, Beatriz; Canal Corretger, Ramon (Multidisciplinary Digital Publishing Institute (MDPI), 2023-01-21)
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      Recent advances in hardware and information technology have accelerated the proliferation of smart and interconnected devices facilitating the rapid development of the Internet of Things (IoT). IoT applications and services ...

    • A Real-Time Error Detection (RTD) architecture and its use for reliability and post-silicon validation for F/F based memory arrays 

      Sazeides, Yiannakis; Bramnik, Arkady; Gabor, Ron; Canal Corretger, Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2022-04-01)
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      This work proposes in-situ Real-Time Error Detection (RTD): embedding hardware in a memory array for detecting a fault in the array when it occurs, rather than when it is read. RTD breaks the serialization between data ...

    • A reference architecture for cloud-edge meta-operating systems enabling cross-domain, data-intensive, ML-assisted applications: architectural overview and key concepts 

      Trakadas, Panagiotis; Masip Bruin, Xavier; Facca, Federico M.; Spantideas, Sotirios T.; Giannopoulos, Anastasios; Kapsalis, Nikolaos C.; Martins, Rui; Bosani, Enrica; Ramon Balasch, Joan; González Prats, Raül; Ntroulias, George; Lyridis, Dimitrios V. (Multidisciplinary Digital Publishing Institute (MDPI), 2022-11-21)
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      Future data-intensive intelligent applications are required to traverse across the cloudto-edge-to-IoT continuum, where cloud and edge resources elegantly coordinate, alongside sensor networks and data. However, current ...