• 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 ...

• Streamlining Application Deployment: A CI/CD Pipeline for Kubernetes 

  Shrestha, Raju; Ray, Akash (IEEE International Conference on Cloud Engineering (IC2E);, Chapter; Peer reviewed; Conference object; Journal article, 2024)

  This paper presents the design and implementation of a Continuous Integration and Continuous Deployment (CI/CD) pipeline aimed at automating application containerization and deployment within Kubernetes clusters, using ...

• Review of Hydroxypropyl Methylcellulose in Artificial Tears for the Treatment of Dry Eye Disease 

  Mysen, O. Martin B.; Hynnekleiv, Leif; Magnø, Morten Schjerven; Vehof, Jelle; Utheim, Tor Paaske (Peer reviewed; Journal article, 2024)

  Dry eye disease (DED) is a highly prevalent condition, resulting in reduced quality of life, lower participation in social life and impaired work efficiency. Hydroxypropyl methylcellulose (HPMC) is a cellulose-based ...

• 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, ...

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