Viser treff 661-680 av 2523

    • Surface approximation of coastal regions: LR B-spline for detection of deformation pattern 

      Kermarrec, , Gael; Skytt, Vibeke; Dokken, Tor (Peer reviewed; Journal article, 2022)
      Geospatial data acquisition of terrains produces huge, noisy and scattered point clouds. An efficient use of the acquired data requires structured and compact data representations. Working directly in a point cloud is often ...
    • When explainable AI meets IoT applications for supervised learning 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This paper introduces a novel and complete framework for solving different Internet of Things (IoT) applications, which explores eXplainable AI (XAI), deep learning, and evolutionary computation. The IoT data coming from ...
    • An Approach to Update the Failure Rates of Safety Barriers Based on Operating Experience 

      Lee, Shenae; Khakzad, Nima; Schmitz, Peter; Reniers, Genserik; Håbrekke, Solfrid; Paltrinieri, Nicola (Peer reviewed; Journal article, 2022)
      Hazardous events in process plants like the leakage of dangerous substances can result in severe damage, and such an event is often defined as the TOP event of a fault tree analysis (FTA) in a quantitative risk analysis. ...
    • Scattered Data Approximation by LR B-Spline Surfaces: A Study on Refinement Strategies for Efficient Approximation 

      Skytt, Vibeke; Dokken, Tor (Chapter, 2022)
      Locally refined B-spline (LRB) surfaces provide a representation that is well suited to scattered data approximation. When a data set has local details in some areas and is largely smooth elsewhere, LR B-splines allow the ...
    • From Intention to Use to Active Use of a Mobile Application in Norwegian ETO Manufacturing 

      Kamsvåg, Pål Furu; Thun, Sylvi; Klemets, Joakim (Chapter, 2022)
      The introduction of digital technologies is starting to change the prevailing work practices at Aker Solutions’ yard at Stord in Vestland county. However, in order to derive business value and attain real transformative ...
    • Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography 

      Islam, Md Nazmul; Hasan, Mehedi; Hossain, Md Kabir; Alam, Md Golam Rabiul; Uddin, Md Zia; Soylu, Ahmet (Peer reviewed; Journal article, 2022)
      Renal failure, a public health concern, and the scarcity of nephrologists around the globe have necessitated the development of an AI-based system to auto-diagnose kidney diseases. This research deals with the three major ...
    • Deep learning based hashtag recommendation system for multimedia data 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This work aims to provide a novel hybrid architecture to suggest appropriate hashtags to a collection of orpheline tweets. The methodology starts with defining the collection of batches used in the convolutional neural ...
    • Intelligent deep fusion network for urban traffic flow anomaly identification 

      Djenouri, Youcef; Belhadi, Asma; Chen, Hsing-Chung; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This paper presents a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with an efficient decomposition strategy is ...
    • MEMS Tunable Metasurfaces Based on Gap Plasmon or Fabry–Pérot Resonances 

      Thrane, Paul Conrad Vaagen; Meng, Chao; Ding, Fei; Bozhevolnyi, Sergey (Peer reviewed; Journal article, 2022)
      Tunable metasurfaces promise to enable adaptive optical systems with complex functionalities. Among possible realizations, a recent platform combining microelectromechanical systems (MEMS) with gap-surface plasmon (GSP) ...
    • Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns 

      Marijan, Dusica; Sen, Sagar (Peer reviewed; Journal article, 2022)
      Increasing the impact of software engineering research in the software industry and the society at large has long been a concern of high priority for the software engineering community. The problem of two cultures, research ...
    • Exploring wait time variations in a prostate cancer patient pathway—A qualitative study 

      Valbekmo, Anne Grete; Mo, Lise; Gjøsund, Gudveig; Håland, Erna; Melby, Line (Peer reviewed; Journal article, 2022)
      Norwegian health authorities emphasise that all citizens should have equal access to healthcare and implement cancer patient pathways (CPPs) to ensure medical care for all patients within the same time frame and to avoid ...
    • LR B-splines to approximate bathymetry datasets: An improved statistical criterion to judge the goodness of fit 

      Skytt, Vibeke; Kermarrec, , Gael; Dokken, Tor (Peer reviewed; Journal article, 2022)
      The task of representing remotely sensed scattered point clouds with mathematical surfaces is ubiquitous to reduce a high number of observations to a compact description with as few coefficients as possible. To reach that ...
    • The Case of Norway and Digital Transformation over the Years 

      Parmiggiani, Elena; Mikalef, Patrick (Chapter, 2022)
      Norway is generally characterized by a pervasive presence of digital services. It is currently undergoing a digital transformation across different domains, from daily life to public and private enterprises. In this ...
    • An Introduction to Digital Transformation 

      Mikalef, Patrick; Parmiggiani, Elena (Chapter, 2022)
      Digital transformation has been one of the most studied phenomena in information systems (IS) and organizational science literature. With novel digital technologies emerging at a growing pace, it is important to understand ...
    • Digital Twin Concept for Risk Analysis of Oil Storage Tanks in Operations: a Systems Engineering Approach 

      Lee, Shenae; Haskins, Cecilia; Paltrinieri, Nicola (Peer reviewed; Journal article, 2022)
      This paper presents an approach to develop a risk monitoring tool for oil storage facilities. The suggested approach is derived from the existing dynamic risk analysis (DRA) methods and the digital twin concepts. One of ...
    • A Risk Aspect of Periodic Testing on Pressure Relief Valves 

      Lee, Shenae; Barros, Anne; Lundteigen, Mary Ann; Paltrinieri, Nicola (Peer reviewed; Journal article, 2022)
      A pressure relief valve (PSV) is a key safety barrier to prevent the catastrophic rupture of pressure equipment in a process plant. The safety function of a PSV is to open and relieve the pressure when the equipment pressure ...
    • A longitudinal study of human–chatbot relationships 

      Skjuve, Marita; Følstad, Asbjørn; Fostervold, Knut Inge; Brandtzæg, Petter Bae (Peer reviewed; Journal article, 2022)
      Social chatbots have become more advanced, paving the way for human–chatbot relationships (HCRs). Although this phenomenon has already received some research attention, the results have been contradictory, and there is ...
    • A Retrospective Analysis of Maritime Cyber Security Incidents 

      Meland, Per Håkon; Bernsmed, Karin; Wille, Egil; Rødseth, Ørnulf Jan; Nesheim, Dag Atle (Peer reviewed; Journal article, 2021)
      The maritime industry is undergoing a rapid evolution through the introduction of new technology and the digitization of existing services. At the same time, the digital attack surface is increasing, and incidents can lead ...
    • The role of hydrogen in the transition from a petroleum economy to a low-carbon society 

      Espegren, Kari Aamodt; Damman, Sigrid; Pisciella, Paolo; Graabak, Ingeborg; Tomasgard, Asgeir (Peer reviewed; Journal article, 2021)
      A radical decarbonization pathway for the Norwegian society towards 2050 is presented. The paper focuses on the role of hydrogen in the transition, when present Norwegian petroleum export is gradually phased out. The study ...
    • Blood Pressure Response and Pulse Arrival Time During Exercise Testing in Well-Trained Individuals 

      Heimark, Sondre; Eitzen, Ingrid; Vianello, Isabella; Bøtker-Rasmussen, Kasper; Mamen, Asgeir; Rindal, Ole Marius Hoel; Waldum-Grevbo, Bård; Sandbakk, Øyvind; Seeberg, Trine Margrethe (Peer reviewed; Journal article, 2022)
      Introduction: There is a lack of data describing the blood pressure response (BPR) in well-trained individuals. In addition, continuous bio-signal measurements are increasingly investigated to overcome the limitations of ...