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Viser treff 61-80 av 10126

    • Smartere transport Møre og Romsdal L2.1 Fartøyskonsept for autonom passasjertransport 

      Borgen, Henning; Holte, Even Ambros; Pobitzer, Armin; Gribkovskaia, Victoria (SINTEF Ocean rapporter;OC2021 A-061, Research report, 2022-03-14)
      Denne rapporten er utarbeidet på oppdrag for Møre og Romsdal fylkeskommune som del av prosjektet Smartere Transport – Møre og Romsdal. Hovedmålet har vært å utlede og vurdere ulike fartøyskonsepter som kan møte ulike krav ...

    • Heidrun Åre – Weathering properties and behaviour at sea 

      Sørheim, Kristin Rist; Pettersen, Thor-Arne; Bakken, Oddveig Merethe; Igartua, Amaia (SINTEF Ocean rapporter;OC2024 A-043, Research report, 2024-04-26)
      A standardized small-scale weathering and dispersibility study has been conducted on Heidrun Åre crude oil from 2023 at 13 °C. The dispersibility testing was included to estimate the viscosity limits and time window for ...

    • Hvordan brukes befolkningsprognoser? Erfaringer med bruk av Telemarksforsknings analyser i 7 distriktskommuner og 3 fylkeskommuner. TFoU-rapport 2019:14. 

      Sand, Roald (Research report, 2019)
      Rapporten beskriver resultatene fra et oppdrag TFoU har hatt for Distriktssenteret (Kompetansesenter for Distriktsutvikling), høsten 2019. Oppdraget har gått ut på å kartlegge 7 distriktskommuners og 3 fylkeskommuners ...

    • Comprehensive Two-Dimensional Gas Chromatography with Peak Tracking for Screening of Constituent Biodegradation in Petroleum UVCB Substances 

      Booth, Andy; Sørensen, Lisbet; Brakstad, Odd Gunnar; Ribicic, Deni; Egeness, Mari Jystad; Arey, J. Samuel; Lyon, Delina Y.; Redman, Aaron D.; Aparicio, Alberto Martin; Camenzuli, Louise; Wang, Neil; Gros, Jonas (Peer reviewed; Journal article, 2023)
      Petroleum substances, as archetypical UVCBs (substances of unknown or variable composition, complex reaction products, or biological substances), pose a challenge for chemical risk assessment as they contain hundreds to ...

    • Distriktskommuner som bidrar til næringsutvikling. Gode eksempler fra Surnadal, Overhalla og Selbu. TFoU-rapport 2019:15 

      Carlsson, Espen; Sand, Roald (Research report, 2019)
      Formålet med rapporten er å øke kunnskapen om hvordan distriktskommuner lykkes med å legge til rette for næringsutvikling. Rapporten er avgrenset til å se på eksempler på vellykkede næringstiltak og virkninger av ...

    • Collision Risk Assessment and Forecasting on Maritime Data 

      Tritsarolis, Andreas; Murray, Brian; Pelekis, Nikos; Theodoridis, Yannis (Chapter, 2023)
      The wide spread of the Automatic Identification System (AIS) and related tools has motivated several maritime analytics operations. One of the most critical operations for the purpose of maritime safety is the so-called ...

    • Virkninger på laks og ørret av Muligheter Helgeland. Vassdragssimulatoren anvendt i Vefsna og Susna 

      Harby, Atle; Bremnes, Trond; Fjeldstad, Hans-Petter; Forseth, Torbjørn; Heggenes, Jan; Johnsen, Bjørn Ove; Pavels, Henning; Stickler, Morten; Sundt, Håkon (Rapport. SINTEF Energi;, Research report, 2003)

    • Metodeutvikling for modellering av høyere fartsgrenser 

      Hjelkrem, Odd Andre; Arnesen, Petter; Babri, Sahar; Straume, Anders; Sondell, Rebecka Karolin Snefuglli (SINTEF;2019:00982, Research report, 2020)
      Rapporten beskriver en utvidelse av gjeldende metodikk for estimering av kjørefart og utslipp i verktøy for modellering av transport (RTM) og nytte/kostnadsanalyser (EFFEKT). Bakgrunnen for prosjektet er et behov for å ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...