Recent Submissions

  • Thermodynamic limit for the magnetic uniform electron gas and representability of density-current pairs 

    Csirik, Mihaly Andras; Laestadius, Andre; Tellgren, Erik (Peer reviewed; Journal article, 2024)
    Although the concept of the uniform electron gas is essential to quantum physics, it has only been defined recently in a rigorous manner by Lewin, Lieb and Seiringer. We extend their approach to include the magnetic case, ...
  • TACDEC: Dataset of Tackle Events in Soccer Game Videos 

    Kassab, Evan Jåsund; Solberg, Håkon Maric; Gautam, Sushant; Sabet, Saeed Shafiee; Torjusen, Thomas; Riegler, Michael Alexander; Halvorsen, Pål; Midoglu, Cise (Chapter, 2024)
    This paper introduces TACDEC, a dataset of tackle events in soccer game videos. Recognizing the gap in existing open datasets that predominantly focus on official soccer events such as goals and cards, TACDEC targets a ...
  • Implementation of Zero Defect Manufacturing using quality prediction: a spot welding case study from Bosch 

    Psarommatis, Foivos; Zhou, Baifan; Kharlamov, Evgeny (Peer reviewed; Journal article, 2024)
    Product quality is a vital aspect in the operation of manufacturing systems, manufacturers need to implement at least one quality assurance method to assure the desired quality. The most recent approach for quality assurance ...
  • Accessibility Barriers Faced When Interacting with Digital Teaching Materials: A Case of High School Students with Visual Impairment in Norway. 

    Kimogol, Stephen Simei; Sanderson, Norun Christine (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2024)
    Access to education is a key element in promoting equality in Norway. Moreover, the inclusion of the ICT regulations in the education sector mandates universal design for all digital learning materials. Despite this ...
  • Influence of single observations on the choice of the penalty parameter in ridge regression 

    Hellton, Kristoffer Herland; Lingjærde, Camilla; De Bin, Riccardo (Peer reviewed; Journal article, 2024)
    Penalized regression methods such as ridge regression heavily rely on the choice of the penalty parameter, which is often computed via cross-validation. Discrepancies in the value of the penalty parameter may lead to ...
  • “Infections without properties” Trust and cultural difference in the Norwegian public debate about minorities and COVID-19 before the vaccination 

    Ødemark, John; Hove, Vetle; Haagensen, Trine Krigsvoll; Sandset, Tony Joakim Ananiassen (Chapter, 2024)
    This chapter examines how concepts of “culture” were used and were related to “trust” in the public debate about COVID-19 and ethnic minorities in Norway. This is explored through an examination of the news coverage of ...
  • Symmetry, Inscriptions, and the Epistemological Residue of Writing A Deconstructive Reading of Laboratory Life 

    Engebretsen, Eivind; Haagensen, Trine Krigsvoll; Ødemark, John (Chapter, 2024)
    This chapter starts with an analysis of Latour and Woolgar's deconstruction of the distinction implicit in social studies of science between ‘the social’ and ‘the technical’. The next section focuses on one of the ...
  • Evaluating the Accessibility of Norwegian Museum Websites. 

    Sanderson, Norun Christine; Sørensen, Eline Wester; Gueye, Alhousseiny; Chen, Weiqin (Chapter, 2024)
    Accessibility of museum websites is important in an inclusive society. Despite international and national legislations and guidelines on digital accessibility for online public services, websites for museums continue to ...
  • Enhancing Naturalness in LLM-Generated Utterances through Disfluency Insertion 

    Zohaib Hassan, Syed; Lison, Pierre; Halvorsen, Pål (arXiv.org;, Journal article, 2024)
    Disfluencies are a natural feature of spontaneous human speech but are typically absent from the outputs of Large Language Models (LLMs). This absence can diminish the perceived naturalness of synthesized speech, which is ...
  • Promoting pro-environmental behaviours among urban dwellers - A study of the interdisciplinary Greencoin project 

    Duda, Ewa; Anacka, Helena; Bojanowski, Jakub; Geirbo, Hanne Cecilie; Joudavi, Ayda; Karaczun, Zbigniew; Kowal, Jolanta; Niemczyk, Igor; Nowakowska, Iwona; Obracht-Prondzynska, Hanna; Paneru, Chandra Prakash; Perzyna, Iga; Pieriegud, Jana; Romanowska, Małgorzata; Tarigan, Ari Krisna Mawira; Tosa, Cristian; Uryga, Danuta; Wyciszkiewicz, Aleksandra (Book, 2024)
    The presented monograph outlines the course of the Greencoin project activities and their outcomes. Due to the distinct nature of each task and the fact that they were coordinated by the various partners, who bring their ...
  • The Greencoin project - A guideline for the implementation strategy 

    Anacka, Helena; Bojanowski, Jakub; Czyż, Piotr; Duda, Ewa; Geirbo, Hanne Cecilie; Joudavi, Ayda; Karaczun, Zbigniew; Konieczny, Łukasz; Kowal, Jolanta; Niemczyk, Igor; Nowakowska, Iwona; Obracht-Prondzyńska, Hanna; Paneru, Chandra Prakash; Perzyna, Iga; Pieriegud, Jana; Radziszewski, Kacper; Romanowska, Małgorzata; Tarigan, Ari Krisna Mawira; Tosa, Cristian; Uryga, Danuta; Walnik, Magdalena; Weichbroth, Paweł; Wereszko, Kacper; Wyciszkiewicz, Aleksandra; Zawieska, Jakub (Research report, 2024)
  • Advancing EEG prediction with deep learning and uncertainty estimation 

    Tveter, Mats; Tveitstøl, Thomas; Hatlestad-Hall, Christoffer; Pérez Teseyra, Ana Silvina; Taubøll, Erik; Yazidi, Anis; Hammer, Hugo Lewi; Haraldsen, Ira Hebold (Peer reviewed; Journal article, 2024)
    Deep Learning (DL) has the potential to enhance patient outcomes in healthcare by implementing proficient systems for disease detection and diagnosis. However, the complexity and lack of interpretability impede their ...
  • EEG electrodes and where to find them: automated localization from 3D scans 

    Tveter, Mats; Tveitstøl, Thomas; Nygaard, Tønnes; Pérez Teseyra, Ana Silvina; Kulashekhar, Shrikanth; Bruña, Ricardo; Hammer, Hugo Lewi; Hatlestad-Hall, Christoffer; Haraldsen, Ira Hebold (Peer reviewed; Journal article, 2024)
    Objective The accurate localization of electroencephalography (EEG) electrode positions is crucial for accurate source localization. Recent advancements have proposed alternatives to labor-intensive, manual methods for ...
  • Weighted sequence neural processes based uncertainty-aware machinery failure prognostic for mineral manufacturing equipment 

    Liang, Tao; Wang, Fuliang; Wang, Shu; Li, Kang; Roman, Dumitru; Mo, Xuelei; Ma, Xiang; Yan, Hao (Measurement;, Peer reviewed; Journal article, 2025)
    Machinery failure prognostic, aiming to predict remaining useful life (RUL) of equipment by a series of measures, is rarely applied in the mineral processing industry. The commonly used algorithms ignore the spatial ...
  • Soccer-GraphRAG: Applications of GraphRAG in Soccer 

    Sepasdar, Zahra; Gautam, Sushant; Midoglu, Cise; Riegler, Michael Alexander; Halvorsen, Pål (Communications in Computer and Information Science;, Chapter; Peer reviewed; Conference object, 2024)
    In the realm of soccer analytics, the need for efficient and accurate information retrieval is crucial. In this paper, we introduce Soccer-GraphRAG, a framework designed to facilitate the retrieval of soccerrelated information ...
  • TeachNet: A Lightweight and User-Friendly Network Visualization and Experimentation Tool 

    Islam, Safiqul; Morina, Visar; Welzl, Michael; Feng, Boning (Asia-Pacific Conference on Communications;, Chapter; Peer reviewed; Conference object, 2024)
    Network researchers, academics, and students often need to deal with complex scripting in order to design a network topology, configure network nodes, automate experimentation, and visualize network performance metrics. ...
  • Real-Time TCP Packet Loss Prediction Using Machine Learning 

    Welzl, Michael; Islam, Safiqul; Von Stephanides, Maximilian (Peer reviewed; Journal article, 2024)
    Congestion and resulting packet loss in TCP connections can lead to performance degradation and reduce the Quality of Experience (QoE) for end users. Many common TCP congestion control algorithms therefore adjust their ...
  • Which Diversity? Expanding the Gap Model of Disability for Digital Information Systems 

    Gjøsæter, Terje; Herrera, Lucia Castro (Peer reviewed; Journal article, 2024)
    In this paper, we extend the gap model of disability that supports digital equipment and cyber-physical situational variations. We explore an alternative approach to visualizing and understanding disability that takes into ...
  • UAV-Based Automatic Detection, Localization, and Cleaning of Bird Excrement on Solar Panels 

    Huang, Yo-Ping; Kshetrimayum, Satchidanand; Sandnes, Frode Eika (IEEE Transactions on Systems, Man & Cybernetics. Systems;, Peer reviewed; Journal article, 2024)
    Bird excrement deposited on solar panels can lead to hotspots, significantly reducing the efficiency of solar power plants. This paper presents a novel solution to this problem leveraging unmanned aerial vehicle (UAV) ...
  • Verdien av et tverrfaglig semester, slik studentene ser det 

    Sandtrø, Tengel Aas (NIKT: Norsk IKT-konferanse for forskning og utdanning;, Peer reviewed; Journal article, 2024)
    På politisk nivå, og innen privat næringsliv, omtales tverrfaglighet som en del av løsningen på gjenstridige problemer. Et tiltak kan være å tilby tverr-faglige utdanninger, men disse byr på noen utfordringer; dybdeforståelsen ...

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