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