SINTEF Digital: Recent submissions

Now showing items 401-420 of 2523

    • Mutual information estimation for graph convolutional neural networks 

      Landsverk, Marius; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2022)
      Measuring model performance is a key issue for deep learning practitioners. However, we often lack the ability to explain why a specific architecture attains superior predictive accuracy for a given data set. Often, ...

    • Automatisering og føreropplæring 

      Jenssen, Gunnar; Roche-Cerasi, Isabelle; Moe, Dagfinn; Stene, Trine Marie; Moen, Terje (SINTEF;2023:00163, Research report, 2023)
      De siste årene har hatt en rask utvikling av førerstøtteapplikasjoner (ADAS) for moderne kjøretøy. Hensikten med mange av applikasjonene er at kjøretøyet varsler, støtter eller tar over kontrollen av kjøretøyet. Dette er ...

    • Følgeforskning av planprosjektet E18 Dørdal – Grimstad 

      Ramstad, Lone Sletbakk; Welde, Morten; Flyen, Cecilie; Finne, Håkon; Andersen, Bjørn Sørskot (Research report, 2020)
      Denne rapporten presenterer resultater fra en følgeforskningsstudie av planprosjektet for kommunedelplanen for E18 Dørdal – Grimstad. Våren 2018 engasjerte Nye Veier forskningsprogrammet Concept ved NTNU, i samarbeid ...

    • New Waves of IoT Technologies Research – Transcending Intelligence and Senses at the Edge to Create Multi Experience Environments 

      Vermesan, Ovidiu; Coppola, Marcello; Nava, Mario Divaz; Capra, Alessandro; Kornaros, George; Bahr, Roy; Darmois, Emmanuel C.; Serrano, Martin; Guillemin, Patrick; Loupos, Konstantinos; Karagiannidis, Lazaros; McGrath, Sean (Chapter, 2020)
      The next wave of Internet of Things (IoT) and Industrial Internet of Things (IIoT) brings new technological developments that incorporate radical advances in Artificial Intelligence (AI), edge computing processing, new ...

    • Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks 

      Lye, Kjetil Olsen; Mishra, Siddhartha; Ray, Deep; Chandrasekhar, Praveen (Peer reviewed; Journal article, 2020)
      We present a novel active learning algorithm, termed as iterative surrogate model optimization (ISMO), for robust and efficient numerical approximation of PDE constrained optimization problems. This algorithm is based on ...

    • Real-Time Processing of High-Resolution Video and 3D Model-Based Tracking for Remote Towers 

      Barrowclough, Oliver Joseph David; Briseid, Sverre; Muntingh, Agnar Georg Peder; Viksand, Torbjørn (Peer reviewed; Journal article, 2020)
      During the past decade, a new approach to providing air traffic services to airports from a remote location has been established, known as remote or digital tower. High quality video data is a core component in remote tower ...

    • Flystøysoner for Leknes lufthamn 

      Bustad, Joakim; Randeberg, Rolf Tore; Granøien, Idar Ludvig Nilsen (SINTEF Rapport;2019:00970, Research report, 2019)
      Avinor har gitt SINTEF i oppdrag å foreta en støykartlegging av Leknes lufthamn, etter Miljøverndepartementets retningslinje T-1442/2016. Beregning av støy er utført med NORTIM 4.5 som tar hensyn til topografien ved ...

    • Bemanning og tjenestetilbud i sykehjem 

      Nygård, Lars; Harsvik, Trond; Halvorsen, Thomas; Paulsen, Bård (SINTEF Rapport;STF78 A045006, Research report, 2004)
      ISBN: 8214035120

    • Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning 

      Hering, Alessa; Hansen, Lasse; Mok, Tony C. W.; Chung, Albert C. S.; Siebert, Hanna; Häger, Stephanie; Lange, Annkristin; Kuckertz, Sven; Heldmann, Stefan; Shao, Wei; Vesal, Sulaiman; Rusu, Mirabela; Sonn, Geoffrey; Estienne, Théo; Vakalopoulou, Maria; Han, Luyi; Huang, Yunzhi; Yap, Pew-Thian; Brudfors, Mikael; Balbastre, Yaël; Joutard, Samuel; Modat, Marc; Lifshitz, Gal; Raviv, Dan; Lv, Jinxin; Li, Quang; Jaouen, Vincent; Visvikis, Dimitris; Fourcade, Constance; Rubeaux, Mathieu; Pan, Wentao; Xu, Zhe; Jian, Bailiang; De Benetti, Francesca; Wodzinski, Marek; Gunnarsson, Niklas; Sjölund, Jens; Grzech, Daniel; Qiu, Huaqi; Li, Zeju; Thorley, Alexander; Duan, Jinming; Grossbröhmer, Christoph; Hoopes, Andrew; Reinertsen, Ingerid; Xiao, Yiming; Landman, Bennett; Huo, Yuankai; Murphy, Keelin; Lessmann, Nikolas; van Ginneken, Bram; Dalca, Adrian V.; Heinrich, Mattias P. (Peer reviewed; Journal article, 2022)
      Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration approaches on a ...

    • Coupling time-indexed and big-M formulations for real-time train scheduling during metro service disruptions 

      Huang, Yeran; Mannino, Carlo; Yang, Lixing; Tang, Tao (Peer reviewed; Journal article, 2020)
      Track disruptions in metro systems may lead to severe train delays with many passengers stranded at platforms, unable to board on overloaded trains. Dispatchers may put in place different recovery actions, such as alternating ...

    • A general-purpose distributed pattern mining system 

      Belhadi, Asma; Djenouri, Youcef; Lin, Jerry Chun-Wei; Cano, Alberto (Peer reviewed; Journal article, 2020)
      This paper explores five pattern mining problems and proposes a new distributed framework called DT-DPM: Decomposition Transaction for Distributed Pattern Mining. DT-DPM addresses the limitations of the existing pattern ...

    • When the Decomposition Meets the Constraint Satisfaction Problem 

      Djenouri, Youcef; Djenouri, Djamel; Habbas, Zineb; Lin, Jerry Chun-Wei; Michalak, Tomasz P.; Cano, Alberto (Peer reviewed; Journal article, 2020)
      This paper explores the joint use of decomposition methods and parallel computing for solving constraint satisfaction problems and introduces a framework called Parallel Decomposition for Constraint Satisfaction Problems ...

    • Can the Public Sector and Vendors Digitally Transform? A Case from Innovative Public Procurement 

      Mikalsen, Marius; Farshchian, Babak A. (Chapter, 2020)
      Recent research emphasizes the distinctive characteristic of innovation in public sector as opposed to that in the private sector. Several researchers point to the need for open and networked innovation for the public ...

    • Making the Internet of Things More Reliable Thanks to Dynamic Access Control 

      Gallon, Anne; Iturbe, Eider; Song, Hui; Ferry, Nicolas (Chapter, 2020)
      While the Internet-of-Things (IoT) infrastructure is rapidly growing, the performance and correctness of such systems becomes more and more critical. Together with flexibility and interoperability, trustworthiness related ...

    • Competitive high variance, low volume manufacturing with robot manipulators 

      Transeth, Aksel Andreas; Stepanov, Alexey; Linnerud, Ådne Solhaug; Ening, Klaus; Gjerstad, Tone Beate (Chapter, 2020)
      Competitive robotized manufacturing of high specter variance, low volume product lines represents market opportunities for manufacturing companies, but cost-efficient production is challenging. In this paper, we present ...

    • Addressing data deficiencies in assistive technology by using statistical matching methodology: a case study from Malawi, Disability and Rehabilitation: Assistive Technology 

      Jamali-Phiri, Monica; Kafumba, Juba Alyce; MacLachlan, Mac; Smith, Emma; Ebuenyi, Ikenna; Eide, Arne Henning; Munthali, Alister (Peer reviewed; Journal article, 2020)
      Purpose: To address the data gap on efforts to assess use of assistive technology among children with disability in sub-Saharan Africa. Contribute towards efforts examining access to assistive technologies in sub-Saharan ...

    • ‘If we would change things outside we wouldn’t even need to go in…’ supporting recovery via community‐based actions: A focus group study on psychiatric rehospitalization 

      Cresswell-Smith, Johanna; Donisi, Valeria; Rabbi, Laura; Sfetcu, Raluca; Straßmayr, Christa; Wahlbeck, Kristian; Ådnanes, Marian (Peer reviewed; Journal article, 2020)
      Background: Psychiatric rehospitalization is a complex phenomenon in need of more person-centred approaches. The current paper aimed to explore how community-based actions and daily life influence mental health and ...

    • The HORM Diagramming Tool: A Domain-Specific Modelling Tool for SME Cybersecurity Awareness 

      Boletsis, Costas; Orni, Sefat Noor; Halvorsrud, Ragnhild (Peer reviewed; Journal article, 2023)
      Improving security posture while addressing human errors made by employees are among the most challenging tasks for SMEs concerning cybersecurity risk management. To facilitate these measures, a domain-specific modelling ...

    • Cybersecurity Awareness and Capacities of SMEs 

      Erdogan, Gencer; Halvorsrud, Ragnhild; Boletsis, Costas; Tverdal, Simeon; Pickering, J. Brian (Peer reviewed; Journal article, 2023)
      Small and Medium Enterprises (SMEs) are increasingly exposed to cyber risks. Some of the main reasons include budget constraints, the employees’ lack of cybersecurity awareness, cross-sectoral cyber risks, lack of security ...

    • Putting a Face on Algorithms: Personas for Modeling Artificial Intelligence 

      Karahasanovic, Amela; Følstad, Asbjørn; Schittekat, Patrick (Chapter; Peer reviewed, 2021)
      We propose a new type of personas, artificial intelligence (AI) personas, as a tool for designing systems consisting of both human and AI agents. Personas are commonly used in design practices for modelling users. We argue ...