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SINTEF [10074]
  • Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions 

    Rauniyar, Ashish; Hagos, Desta Haileselassie; Jha, Debesh; Håkegård, Jan Erik; Bagci, Ulas; Rawat, Danda B.; Vlassov, Vladimir (Peer reviewed; Journal article, 2023)
    With the advent of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) algorithms, the landscape of data-driven medical applications has emerged as a promising avenue ...
  • Machine learning based assessment of preclinical health questionnaires 

    Avram, Calin; Gligor, Adrian; Roman, Dumitru; Soylu, Ahmet; Nyulas, Victoria; Avram, Laura (Peer reviewed; Journal article, 2023)
    Background: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile ...
  • Towards a water-smart society: Progress in linking theory and practice 

    Damman, Sigrid; Schmuck, Alexandra; Oliveira, Rosário; Koop, Steven (Stef) H.A.; Almeida, Maria do Céu; Alegre, Helena; Ugarelli, Rita Maria (Peer reviewed; Journal article, 2023)
    Few scientific publications discuss the vision of the water-smart society. Our paper addresses this gap, outlining key principles of urban water–smartness and translating them into five strategic objectives to support ...
  • eHealth policy framework in Low and Lower Middle-Income Countries; a PRISMA systematic review and analysis 

    Mengiste, Shegaw Anagaw; Antypas, Konstantinos; Johannessen, Marius Rohde; Klein, Jörn; Kazemi, Gholamhossein (Peer reviewed; Journal article, 2023)
    Background: Low and lower middle-income countries suffer lack of healthcare providers and proper workforce education programs, a greater spread of illnesses, poor surveillance, efficient management, etc., which are addressable ...
  • The DYNABIC approach to resilience of critical infrastructures 

    Rios, Erkuden; Iturbe, Eider; Rego, Angel; Ferry, Nicolas; Tigli, Jean-Yves; Lavirotte, Stephane; Rocher, Gérald; Nguyen, Phu Hong; Song, Hui; Dautov, Rustem; Mallouli, Wissam; Cavalli, Ana Rosa (Chapter, 2023)
    With increasing interdependencies and evolving threats, maintaining operational continuity in critical systems has become a significant challenge. This paper presents the DYNABIC (Dynamic business continuity of critical ...

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