Viser treff 1-20 av 20144

    • Deep neural networks on diffeomorphism groups for optimal shape reparametrization 

      Celledoni, Elena; Glöckner, Helge; Riseth, Jørgen Nilsen; Schmeding, Alexander (Journal article; Peer reviewed, 2023)
      One of the fundamental problems in shape analysis is to align curves or surfaces before computing geodesic distances between their shapes. Finding the optimal reparametrization realizing this alignment is a computationally ...
    • HEBI: Homomorphically Encrypted Biometric Indexing 

      Bauspieß, Pia; Grimmer, Marcel; Fougner, Cecilie; Le Vasseur, Damien; Stöcklin, Thomas Thaulow; Rathgeb, Christian; Kolberg, Jascha; Costache, Anamaria; Busch, Christoph (Chapter, 2023)
      Biometric data stored in automated recognition systems are at risk of attacks. This is particularly true for large-scale biometric identification systems, where the reference database is often accessed remotely. A popular ...
    • Type^2: A Secure and Seamless Biometric Two-Factor Authentication Protocol Using Key stroke Dynamics 

      Bauspieß, Pia; Bours, Patrick Adrianus; Rathgeb, Christian; Busch, Christoph (Peer reviewed; Journal article, 2023)
    • Digital Significance 

      Sanchez Laws, Ana Luisa (Chapter, 2023)
      This chapter proposes the idea of ‘digital significance’ as a governance and decision- making process for assessing the value of digital collections. This concept is inspired by Australian approaches to valuing heritage, ...
    • Applications of Computer Vision and Deep Learning for Digital Rock Analysis 

      Sarmad, Muhammad (Doctoral theses at NTNU;2024:114, Doctoral thesis, 2024)
      Digital rock analysis utilizes various tools available in computer science to represent and process rock data in a way that enhances our understanding of its geological properties. It has become an essential tool for ...
    • Robust Phased Array Navigation in Reflective Prone Areas 

      Hasler, Oliver Kevin; Bryne, Torleiv Håland; Johansen, Tor Arne (Chapter, 2023)
      Navigation with a Phased Array Radio System (PARS) is prone to performance degradation due to radio wave reflections of the directed communication beam on reflective surfaces. This work presents a navigation algorithm, ...
    • A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism 

      Qadir, Hemin Ali; Nesaragi, Naimahmed; Halvorsen, Per Steinar; Balasingham, Ilangko (Chapter, 2023)
    • On the Feasibility of Fully Homomorphic Encryption of Minutiae-Based Fingerprint Representations 

      Bauspieß, Pia; Vad, Lasse; Myrekrok, Håvard Borgen; Costache, Anamaria; Kolberg, Jascha; Rathgeb, Christian; Busch, Christoph (Peer reviewed; Journal article, 2023)
      Protecting minutiae-based fingerprint templates with fully homomorphic encryption has recently been recognised as a hard problem. In this work, we evaluate state-of-the-art fingerprint recognition based on minutiae templates ...
    • Sampling design methods for making improved lake management decisions 

      Koski, Vilja; Eidsvik, Jo (Journal article; Peer reviewed, 2024)
      The ecological status of lakes is important for understanding an ecosystem's biodiversity as well as for service water quality and policies related to land use and agricultural run-off. If the status is weak, then decisions ...
    • MT-PRO: Multibiometric Template Protection Based On Homomorphic Transciphering 

      Bauspieß, Pia; Zok, Chiara-Marie; Costache, Anamaria; Rathgeb, Christian; Kolberg, Jascha; Busch, Christoph (Peer reviewed; Journal article, 2023)
      Reliable authentication of individuals is the foundation of trusted digital interaction. Biometrics lend themselves ideally to this goal. However, biometric data must be protected under computation according to European ...
    • Zeroing the Output of Nonlinear Systems Without Relative Degree 

      Gray, W. Steven; Ebrahimi-Fard, Kurusch; Schmeding, Alexander (Chapter, 2023)
      The goal of this paper is to establish some facts concerning the problem of zeroing the output of an input-output system that does not have relative degree. The approach taken is to work with systems that have Chen-Fliess ...
    • Evaluating hyperspectral Secchi depth retrieval through hybrid modeling and regression 

      Bakken, Sivert; Luis, Kelly; Johnsen, Geir; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
      This work compares different regression models combined with hybrid modeling to estimate water clarity using hyper-spectral remote sensing data. The Secchi depth, a proxy of water clarity, can be modeled using first ...
    • Adaptive Kalman filter for on-line spectroscopic sensor corrections 

      Sbarbaro, Daniel; Johansen, Tor Arne; Yanez, JP (Peer reviewed; Journal article, 2023)
      Spectroscopic sensors provide online information about the composition and concentration of species in a sample by analyzing the interaction of light and matter. At the industrial scale, external variables such as temperature, ...
    • Accuracy of a slew maneuver for the HYPSO-1 hyperspectral imaging satellite — in-orbit results 

      Kristiansen, Bjørn Andreas; Langer, Dennis David; Garrett, Joseph Landon; Berg, Simen; Gravdahl, Jan Tommy; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
      In this paper, the accuracy of a slew maneuver performed by the HYPSO-1 satellite is analysed based on the data received during the satellite’s first months in orbit. The slew maneuver, during which the satellite turns ...
    • Leader-follower Dynamic Synchronization of Surface Vessels 

      Kyrkjebø, Erik; Pettersen, Kristin Ytterstad (Journal article, 2006)
      This paper introduces a dynamic leader-follower synchronization scheme for surface vessels that specifies the behavior of the follower vessels as they approach their desired position in a formation, or in a docking operation. ...
    • Exploring the Role of UX Influencing Factors in Virtual Reality for Natural Hazards Prepardness: A Disign-Based Approach 

      Irshad, Shafaq (Doctoral theses at NTNU;2024:152, Doctoral thesis, 2024)
      Climate change is one of the major challenges of our time, and its complexity makes finding innovative solutions challenging. One of the ways that climate change poses a challenge is by reshaping the earth’s natural ecosystem ...
    • Distributed Detection and Localization 

      Tabella, Gianluca (Doctoral theses at NTNU;2024:84, Doctoral thesis, 2024)
      This thesis delves into the detection and localization aspects of distributed Wireless Sensor Networks (WSNs). Specifically, the research concentrates on WSNs in which sensors autonomously carry out detection tasks and ...
    • Predicting In-Hospital Death from Derived EHR Trajectory Features 

      Bopche, Rajeev; Gustad, Lise Tuset; Afset, Jan Egil; Damås, Jan Kristian; Nytrø, Øystein (Chapter, 2024)
      Medical histories of patients can provide insight into the immediate future of a patient. While most studies propose to predict survival from vital signs and hospital tests within one episode of care, we carry out selective ...
    • Kodepraksis ved sepsis 2008–21 

      Skei, Nina Vibeche; Afset, Jan Egil; Ehrnström, Anna Greta Birgitta; Nessan, Bente Sofie; Damås, Jan Kristian; Nilsen, Tom Ivar Lund; Gustad, Lise Tuset (Journal article; Peer reviewed, 2024)
      Bakgrunn:Sepsis har høy insidens og mortalitet. For planlegging av helsetjenester og i forskning trengs presise data, og det er behov for å kartlegge kodepraksis i Norge. Materiale og metode: Alle personer over 17 år som ...
    • Electro-Thermal Homogenization of HTS Stacks and Roebel Cables for Machine Applications 

      Klop, Casper Leonard; Mellerud, Runar; Hartmann, Christian; Nøland, Jonas Kristiansen (Journal article; Peer reviewed, 2024)
      This paper presents a homogenized electro-thermal model for high-temperature superconductor (HTS) stacks made of multiple REBCO tapes, which reduces the computational complexity of their thermal analysis. The electromagnetic ...