• Response predictors of a topical corticosteroid-based regimen for dry eyes: A real-life study 

  Utheim, Tor Paaske; Chen, Xiangjun; Fineide, Fredrik; Steinkjer, Tore; Heegaard, Steffen; Kolko, Miriam; Dartt, Darlene A.; Khan, Ayyad Ahmad Zartasht (Peer reviewed; Journal article, 2024)

  Purpose: To examine the effectiveness and identify clinical response predictors of a short corticosteroid-based regimen consisting of topical preservative-free 0.1% dexamethasone (Monopex®, Théa Laboratories) in conjunction ...

• Quantum-Electrodynamical Density-Functional Theory Exemplified by the Quantum Rabi Model 

  Bakkestuen, Vebjørn Hallberg; Falmår, Vegard; Lotfigolian, Maryam; Penz, Markus; Ruggenthaler, Michael; Laestadius, Andre (arXiv.org;, Journal article, 2024)

  The key features of density-functional theory (DFT) within a minimal implementation of quantum lectrodynamics are demonstrated, thus allowing to study elementary properties of quantum-electrodynamical density-functional ...

• Should Student Coursework Be Universally Designed? Universal Design Requirements May Prevent Academic Cheating 

  Sandnes, Frode Eika; Tollefsen, Morten; Herstad, Jo; Knarlag, Kjetil A. (Chapter; Conference object, 2024)

  This study explores the proposition of requiring students to hand in universally designed coursework and the transferrable benefits of accessibility audits. Coursework that adheres to universal design (UD) principles will ...

• Navigating Inclusivity: Exploring Accessibility in Oslo’s Public Transport Mobile App 

  Kuriakose, Bineeth; Sandnes, Frode Eika (Chapter; Conference object, 2024)

  This study investigates the accessibility of the Ruter mobile app, a major digital platform provided by the public transport authority for Oslo and Akershus counties in Norway. By employing a combination of case study ...

• Cost modelling and optimisation for cloud: a graph-based approach 

  Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2024)

  Cloud computing has become popular among individuals and enterprises due to its convenience, scalability, and flexibility. However, a major concern for many cloud service users is the rising cost of cloud resources. Since ...

• Prosodic Variation in Particle Constructions in Three Norwegian Dialect Areas 

  Tengesdal, Eirik; Larsson, Ida; Lundquist, Björn (Peer reviewed; Journal article, 2024)

  Particle verbs in Norwegian are often realized as one maximal prosodic word with main stress either on the verb or the particle, but sometimes the verb and the particle project their own maximal prosodic words. This article ...

• Wheat Leaf Disease Detection: A Lightweight Approach with Shallow CNN Based Feature Refinement 

  Jouini, Oumayma; Aoueileyine, Mohamed Ould-Elhassen; Sethom, Kaouthar; Yazidi, Anis (Peer reviewed; Journal article, 2024)

  Improving agricultural productivity is essential due to rapid population growth, making early detection of crop diseases crucial. Although deep learning shows promise in smart agriculture, practical applications for ...

• Knowledge graph embedding closed under composition 

  Zheng, Zhuoxun; Zhou, Baifan; Yang, Hui; Tan, Zhipeng; Sun, Zequn; Li, Chunnong; Waaler, Arild Torolv Søetorp; Kharlamov, Evgeny; Soylu, Ahmet (Peer reviewed; Journal article, 2024)

  Knowledge Graph Embedding (KGE) has attracted increasing attention. Relation patterns, such as symmetry and inversion, have received considerable focus. Among them, composition patterns are particularly important, as they ...

• Solution of the υ-representability problem on a one-dimensional torus 

  Sutter, Sarina M; Penz, Markus; Ruggenthaler, Michael; Leeuwen, Robert van; Giesbertz, Klaas J H (Journal of Physics A: Mathematical and Theoretical;, Peer reviewed; Journal article, 2024)

  We provide a solution to the v-representability problem for a non-relativistic quantum many-particle system on a onedimensional torus domain in terms of Sobolev spaces and their duals. Any one-particle density that is ...

• Shapley visual transformers for image-to-text generation 

  Belhadi, Asma; Djenouri, Youcef; Belbachir, Nabil; Michalak, Tomasz; Srivastava, Gautam (Peer reviewed; Journal article, 2024)

  In the contemporary landscape of the web, text-to-image generation stands out as a crucial information service. Recently, deep learning has emerged as the cutting-edge methodology for advancing text-to-image generation ...

• A Knowledge-Enhanced Object Detection for Sustainable Agriculture 

  Djenouri, Youcef; Ahmed Nabil, Belbachir; Tomasz, Michalak; Asma, Belhadi; Gautam, Srivastava (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;, Peer reviewed; Journal article, 2024)

  The integration of Unmanned Aerial Vehicles (UAVs) in agriculture has advanced precision farming by enhancing the ability to monitor and optimize agricultural plots. Object detection—critical for identifying crops, pests, ...

• Modeling Wind-Speed Statistics beyond the Weibull Distribution 

  Rego Lencastre e Silva, Pedro; Yazidi, Anis; Lind, Pedro (Energies;, Peer reviewed; Journal article, 2024)

  While it is well known that the Weibull distribution is a good model for wind-speed measurements and can be explained through simple statistical arguments, how such a model holds for shorter time periods is still an open ...

• Activation by technology: Young people’s use of digital tools provided by the government 

  Larsson, Karl Kristian; Haldar, Marit (Peer reviewed; Journal article, 2024)

  Modern welfare agencies are increasingly offering clients digital tools in their service delivery. Since young people are prolific users of digital technology, this trend should be to their advantage. However, the quantitative ...

• Model-based digital twins of medicine dispensers for healthcare IoT applications 

  Sartaj, Hassan; Ali, Shaukat; Yue, Tao; Moberg, Kjetil (Software, Practice & Experience;, Peer reviewed; Journal article, 2024)

  Healthcare applications with the Internet of Things (IoT) are oftensafety-critical, thus, require extensive testing. Such applications are often con-nected to smart medical devices from various vendors. System-level testing ...

• Cloud storage cost: a taxonomy and survey 

  Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2024)

  Cloud service providers offer application providers with virtually infinite storage and computing resources, while providing cost-efficiency and various other quality of service (QoS) properties through a storage-as-a-service ...

• Electron-photon exchange-correlation approximation for quantum-electrodynamical density-functional theory 

  Lu, I-Te; Ruggenthaler, Michael; Tancogne-Dejean, Nicolas; Latini, Simone; Penz, Markus; Rubio, Angel (Peer reviewed; Journal article, 2024)

  Quantum-electrodynamical density-functional theory (QEDFT) provides a promising avenue for exploring complex light-matter interactions in optical cavities for real materials. Similar to conventional densityfunctional theory, ...

• SmartCrop-H: AI-Based Cropping of Ice Hockey Videos 

  Dorcheh, Sayed Mohammad Majidi; Houshmand Sarkhoosh, Mehdi; Midoglu, Cise; Sabet, Saeed; Kupka, Tomas; Johansen, Dag; Halvorsen, Pål (Chapter; Peer reviewed; Conference object, 2024)

  Sports multimedia plays a central role in captivating audiences on social media platforms. However, fast-paced sports such as ice hockey pose unique challenges due to their swift gameplay and the small puck size, making ...

• Correlation Visualization Under Missing Values: A Comparison Between Imputation and Direct Parameter Estimation Methods 

  Pham, Nhat-Hao; Vo, Khanh-Linh; Vu, Mai Anh; Nguyen, Thu; Riegler, Michael Alexander; Halvorsen, Pål; Nguyen, Binh T. (Chapter, 2024)

  Correlation matrix visualization is essential for understanding the relationships between variables in a dataset, but missing data can seriously affect this important data visualization tool. In this paper, we compare the ...

• AI-Based Sports Highlight Generation for Social Media 

  Midoglu, Cise; Sabet, Saeed; Houshmand Sarkhoosh, Mehdi; Dorcheh, Sayed Mohammad Majidi; Gautam, Sushant; Solberg, Håkon; Kupka, Tomas; Halvorsen, Pål (Chapter; Peer reviewed; Conference object, 2024)

  Social media plays a significant role for sports organizations with millions of active fans, but publishing highlights is often a tedious manual operation. With the development of AI, new tools are available for content ...

• 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 ...

View more