Viser treff 1-20 av 5661

    • 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 ...
    • 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 ...
    • Uncertainty-aware Virtual Sensors for Cyber-Physical Systems 

      Sen, Sagar; Husom, Erik Johannes; Goknil, Arda; Tverdal, Simeon; Nguyen, Phu Hong (Peer reviewed; Journal article, 2023)
      We present a data pipeline to train and deploy uncertainty-aware virtual sensors in cyber-physical systems. Our virtual sensor predicts the expected values of a physical sensor and a standard deviation indicating the degree ...
    • 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 ...
    • AutoConf: Automated Configuration of Unsupervised Learning Systems using Metamorphic Testing and Bayesian Optimization 

      Shar, Lwin Khin; Goknil, Arda; Husom, Erik Johannes; Sen, Sagar; Tun, Yan Naing; Kim, Kisub (Chapter, 2023)
      Unsupervised learning systems using clustering have gained significant attention for numerous applications due to their unique ability to discover patterns and structures in large unlabeled datasets. However, their ...
    • 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 ...
    • TRANSQLATION: TRANsformer-based SQL RecommendATION 

      Tahmasebi, Shirin; Payberah, Amir H.; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail (Chapter, 2023)
      The exponential growth of data production emphasizes the importance of database management systems (DBMS) for managing vast amounts of data. However, the complexity of writing Structured Query Language (SQL) queries requires ...
    • ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER 

      Layegh, Amirhossein; Hossein Payberah, Amir; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail (Chapter, 2023)
      Prompt-based language models have produced encouraging results in numerous applications, including Named Entity Recognition (NER) tasks. NER aims to identify entities in a sentence and provide their types. However, the ...
    • Ergodic Performance Analysis of Reconfigurable Intelligent Surface Enabled Bidirectional NOMA 

      Rauniyar, Ashish; Østerbø, Olav Norvald; Håkegård, Jan Erik (Chapter, 2023)
      This paper proposes and investigates a reconfigurable intelligent surface (RIS) enabled bidirectional non-orthogonal multiple access (NOMA) network termed as NOMA-RIS. Here, RIS allows multiple NOMA users in one group to ...
    • A Checklist for Supply Chain Security for Critical Infrastructure Operators 

      Jaatun, Martin Gilje; Sæle, Hanne (Chapter, 2024)
      Critical infrastructure applications do not emerge fully formed, but generally rely on components and services from third-party vendors. This paper presents a brief survey on good practice for security requirements to be ...
    • A method for threat modelling of industrial control systems 

      Flå, Lars; Jaatun, Martin Gilje (Chapter, 2024)
      In this paper, we propose a new method for threat modelling of industrial control systems (ICS). The method is designed to be flexible and easy to use. Model elements inspired by IEC 62443 and Data Flow Diagrams (DFD) are ...
    • Phosphorus deactivation on co-based catalysts for Fischer-Tropsch 

      Ivanez Encinas, Oscar Luis; Groven, Anette Synnøve; Rout, Kumar Ranjan; Blekkan, Edd Anders (Peer reviewed; Journal article, 2023)
      The effect of phosphorus on a cobalt-based catalyst for Fischer-Tropsch Synthesis (FTS) has been investigated. Phosphorus is an impurity present in biomass and, in this work, its deposition on the catalyst during biomass ...
    • Microplastics Derived from Commercial Fishing Activities 

      Syversen, Tore; Lilleng, Grethe (Chapter, 2023)
      Ordinary fishing activity is a source of microplastics to the sea that is often overlooked and scarcely reported in the literature. In this paper, we estimate the number of microplastics in the ocean that originates from ...
    • An inclusive Lifecycle Approach for IoT Devices Trust and Identity Management 

      Loupos, Konstantinos; Niavis, Harris; Michalopoulos, Fotis; Misiakoulis, George; Skarmeta, Antonio F.; García, Jesús; Palomares, Angel; Song, Hui; Dautov, Rustem; Giampaolo, Francesca; Mancilla, Rosella; Costantino, Francesca; Van Landuyt, Dimitri; Michiels, Sam; More, Stefan; Xenakis, Christos; Bampatsikos, Michail; Politis, Ilias; Krilakis, Konstantinos; Syvridis, Dimitris (Chapter, 2023)
      ERATOSTHENES is an EC, co-funded, research project strongly considering modern security challenges in the domain of Internet of Things in mind of their huge penetration into our day to day lives. There are a series of ...
    • Real-Time Performance of Industrial IoT Communication Technologies: A Review 

      Behnke, Ilja; Austad, Henrik (Peer reviewed; Journal article, 2023)
      With the growing need for automation and the ongoing merge of OT and IT, industrial networks have to transport a high amount of heterogeneous data with mixed criticality such as control traffic, sensor data, and configuration ...
    • Direct air capture (DAC) deployment: National context cannot be neglected. A case study applied to Norway 

      Bisotti, Filippo; Hoff, Karl Anders; Mathisen, Anette; Hovland, Jon (Peer reviewed; Journal article, 2023)
      DAC deployment is still an open question. Recent publications focused on energy consumption and the relationship between the cost of captured CO2 and operating conditions. These works addressed a preliminary assessment of ...
    • Modellering av energisystemet på Mære. Mulige investeringer som kan øke selvforsyningsgraden av energi 

      Bugge, Mette; Brækken, August; Kauko, Hanne (ZEN Report;58, Research report, 2024)
      Mære landbruksskole ligger i Steinkjer kommune i Trøndelag og er eid av Trøndelag fylkeskommune. Det er en videregående skole som tilbyr utdanning innen naturbruk, og samtidig driftes et skolegårdsbruk. Mære landbruksskole ...
    • Laser beam remelting of stainless steel plate for cladding and comparison with conventional CMT process 

      Bunaziv, Ivan; Ren, Xiaobo; Hagen, Anette Brocks; Hovig, Even Wilberg; Jevremovic, Ivana; Gulbrandsen-Dahl, Sverre (Peer reviewed; Journal article, 2023)
      Progressing towards circular economy requires smarter and more efficient use of energy and resources. Laser beam can be efficient and flexible tool for melting different metals, commonly used in cladding and additive ...
    • Merkostnader ved ZEN. En case studie av Nidarvollutbyggingen i Trondheim 

      Lien, Anne Brit Gunnarshaug; Vågbø, Pål Christian Broberg; Wigenstad, Tore; Jenssen, Bjørn; Backe, Stian (ZEN Report;59, Research report, 2024)
      Et nullutslippsområde, eller et Zero Emission Neighbourhood (ZEN), er et område med bygninger som i gjennomsnitt minimerer og kompenserer for alle klimagassutslipp fra bygging og drift. Bygningene er energieffektive og det ...