Browsing TKD - Fakultet for teknologi, kunst og design by Issue Date

Now showing items 21-32 of 32

    • The yield curve as a leading indicator: accuracy and timing of a parsimonious forecasting model 

      Seip, Knut Lehre; Zhang, Dan (Forecasting;volume 3, issue 2, Peer reviewed; Journal article, 2021-05-28)
      Previous studies have shown that the treasury yield curve, T, forecasts upcoming recessions when it obtains a negative value. In this paper, we try to improve the yield curve model while keeping its parsimony. First, we ...

    • Consequences of the improved limits on the tnsor-to-scalar ratio from BICEP/Planck, and of future CMB-S4 measurements, for inflationary models 

      Grøn, Øyvind (Peer reviewed; Journal article, 2022)
      More than 30 inflationary models are confronted with the recently improved limit on the tensor-to-scalar ratio presented by the Planck team. I show that a few more models are falsified due to this sharper restriction. ...

    • Blues 

      Fretheim, Thorstein (Bachelor thesis, 2022)
      Blues er et motekonsept som beskriver maskulinitet og utforsker hvordan mote som medium kan kommentere maskulinitet i samfunnet.

    • The North atlanticoOscillations: Lead–lag Relations for the NAO, the AMO, and the AMOC: A high-resolution lead–lag analysis 

      Seip, Knut Lehre; Wang, Hui (Peer reviewed; Journal article, 2022)
      Several studies examine cycle periods and the interactions between the three major climate modes over the North Atlantic, namely the Atlantic meridional overturning circulation (AMOC), the Atlantic multidecadal oscillation ...

    • Hearing Early Modern Music Through the Contemporary 

      Øvrebø, Daniel Henry (Musped:Research;Nr. 4 2022, Chapter; Peer reviewed, 2022-02-23)
      This chapter focuses on how contemporary music practice interacts with early modern1 aesthetics. Two projects, in which Georg Philip Telemann’s solo fantasias are interspersed with contemporary techniques and repertoire, ...

    • EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System 

      Chengjie, Lu; Quinghua, Xu; Yue, Tao; Shaukat, Ali; Schwitalla, Thomas; Nygård, Jan Franz (Chapter, 2023)
      The Cancer Registry of Norway (CRN) collects information on cancer patients by receiving cancer messages from different medical entities (e.g., medical labs, hospitals) in Norway. Such messages are validated by an automated ...

    • Boundary-crossing ICT use – A scoping review of the current literature and a road map for future research 

      Nilsen, Wendy; Nordberg, Tanja Haraldsdottir; Drange, Ida; Junker, Nina Maureen; Aksnes, Siri Yde; Cooklin, Amanda; Cho, Eunae; Habib, Laurence; Hokke, Stacey; Olson-Buchanan, Julie B.; Bernstrøm, Vilde Hoff (Computers in Human Behavior Report;, Peer reviewed; Journal article, 2024)
      Research on the use of digital devices to conduct tasks across work and non-work domains (i.e., boundary-crossing ICT use) grows rapidly. To gain an overview of this expanding field, we conducted a systematic search in 14 ...

    • The Paradox of Creating a Cocreator 

      Thelle, Notto Johannes Windju; Wærstad, Bernt Isak Grave (Computer Music Journal;, Peer reviewed; Journal article, 2024)
      With the latest developments in AI it is becoming increasingly common to view machines as cocreators. In this article, we follow four musicians in the project Co-Creative Spaces through a six-month long collaborative ...

    • AI-Based Cropping of Soccer Videos for Different Social Media Representations 

      Houshmand Sarkhoosh, Mehdi; Dorcheh, Sayed Mohammad Majidi; Midoglu, Cise; Sabet, Saeed; Kupka, Tomas; Johansen, Dag; Riegler, Michael Alexander; Halvorsen, Pål (Chapter; Peer reviewed; Conference object; Journal article, 2024)
      The process of re-publishing soccer videos on social media often involves labor-intensive and tedious manual adjustments, particularly when altering aspect ratios while trying to maintain key visual elements. To address ...

    • Kvasir-VQA: A Text-Image Pair GI Tract Dataset 

      Gautam, Sushant; Storås, Andrea; Midoglu, Cise; Hicks, Steven; Thambawita, Vajira L B; Halvorsen, Pål; Riegler, Michael Alexander (Chapter; Peer reviewed; Conference object, 2024)
      We introduce Kvasir-VQA, an extended dataset derived from the HyperKvasir and Kvasir-Instrument datasets, augmented with questionand-answer annotations to facilitate advanced machine learning tasks in Gastrointestinal (GI) ...

    • Anisotropic Generalization of the ΛCDM Universe Model with Application to the Hubble Tension 

      Grøn, Øyvind Geelmuyden (Peer reviewed; Journal article, 2024)
      Abstract: I deduce an exact and analytic Bianchi type I solution of Einstein’s field equations, which generalizes the isotropic ΛCDM universe model to a corresponding model with anisotropic expansion. The main point of the ...

    • Explainable ensemble learning framework for estimating corrosion rate in suspension bridge main cables 

      Jiménez Rios, Alejandro; Seghier, Mohamed El Amine Ben; Plevris, Vagelis; Dai, Jian (Peer reviewed; Journal article, 2024)
      Ensuring the safe operation of suspension bridges is paramount to prevent unwanted events that can cause failures. Therefore, it is crucial to continuously monitor their operational status to uphold safety and reliability ...