• On a rough perturbation of the Navier–Stokes system and its vorticity formulation 

  Nilssen, Torstein; Hofmanova, Martina; Leahy, James-Michael (Peer reviewed; Journal article, 2021)

  We introduce a rough perturbation of the Navier–Stokes system and justify its physical relevance from balance of momentum and conservation of circulation in the inviscid limit. We present a framework for a well-posedness ...

• Forslag til nasjonal overvåking av søppelenheter på havbunnen — M-2897|2024 

  Buhl-Mortensen, Lene; Harr, Marthe Larsen; Vabø, Ørjan Sørstrønen; Thorbjørnsen, Susanna Huneide; Rydsaa, Johanne Hope; Mortensen, Pål Buhl; Vickery, Georgina; Smedbold, Erle; Grøsvik, Bjørn Einar (Rapport fra havforskningen;, Research report, 2025)

  Flere typer utstyr kan brukes for å overvåke søppel på havbunnen, inkludert droppkameraer, ROV-er (Remotely Operated Vehicles) og AUV-er (Autonomous Underwater Vehicles). Droppkamera og videorigger er kostnadseffektive og ...

• Understanding variations of governmentality and governance structures at the project level in project-based organizations 

  Malik, Muhammad Yousaf; Wang, Linzhuo; Zhu, Fangwei (Journal article; Peer reviewed, 2024)

  Purpose: Variations of human-versus-structure and within-humans at the organizational and the project level are critical in shaping the internal arrangement for effectiveness of project-based organization’s (PBOs) governance. ...

• The two ‘strongest pillars of the empiricist wing’: the Vienna Circle, German academia and emigration in the light of correspondence between Philipp Frank and Richard von Mises (1916–1939) 

  Siegmund-Schultze, Reinhard (Peer reviewed; Journal article, 2023)

  This paper is divided into a surveying and argumentative part and a slightly longer documentary part, which is meant to verify or at least make more plausible claims made in the first part. The first part deals in broad ...

• Enhancing Alzheimer’s Disease Detection and Classification Through Federated Learning-Optimized Deep Convolutional Neural Networks on MRI Data 

  Bukhari, Syed Muhammad Salman; Zafar, Muhammad Hamza; Moosavi, Syed Kumayl Raza; Khan, Noman Mujeeb; Sanfilippo, Filippo (Chapter, 2024)

  Early and accurate detection of Alzheimer’s Disease (AD) is vital for effective management and intervention. However, the subtle nuances of AD progression and the limited availability of comprehensive datasets pose significant ...

• Do International Urban Sustainability Monitoring Frameworks Respond to the Perceived Needs of Norwegian small and mediumsized cities? – Results of a Workshop 

  Rasca, Sinziana Ioana (Chapter, 2020)

  Cities are estimated to have a 70% contribution to global greenhouse gas emissions. This makes urban sustainability monitoring necessary, but are urban sustainability monitoring frameworks applicable to cities of all sizes? ...

• On the Estimation of the Radial Distance of a Moving Person in Indoor Environments from the Demodulated Response of LFMCW Radars 

  Hicheri, Rym; Muaaz, Muhammad; Avazov, Nurilla; Pätzold, Matthias Uwe (Chapter, 2021)

  This paper deals with the estimation of the time-variant (TV) radial distance of a moving person in an indoor environment. The TV radial distance is obtained from the amplitude of the demodulated TV radar response. For ...

• Power Based Adaptive Compensator of Output Oscillations 

  Ruderman, Michael (Chapter, 2024)

  Power-based output feedback compensator for oscillatory systems is proposed. The average input-output power of an oscillatory signal serves as an equivalent control effort, while the unknown amplitude and frequency of ...

• Study of Frictional and Impact Transients in Active-Passive Mechanical Pair 

  Ruderman, Michael; De Rito, Francesco (Chapter, 2025)

  We consider an active-passive mechanical pair in which the relative motion of the latter is constrained by the mechanical impact. The system dynamics is described by the previously introduced modeling frameworks of force ...

• Data security in pharmacies: User perspective on the use of cloud services 

  Hjelmtveit, Sarah T. Yadessa (Master thesis, 2024)

  Digitaliseringen har endret helsesektoren, og apotekene er en del av denne utviklingen. Skytjenester brukes i økende grad til å lagre, behandle og dele data for å effektivisere driften og forbedre pasientsikkerheten. ...

• Extending formalODD to new do- mains 

  Lunde, Haakon Bøthun (Master thesis, 2025)

  The ODD2NetLogo tool was first proposed as a means of enabling greater involvement of domain experts in the model implementation process. It is based the Overview, Design and Details protocol(ODD) and aims to provide a ...

• Anisotropic Friction Skin for Holonomic Snake Robot Mobility 

  Chitikena, Hareesh; Mohammadi, Alireza; Sanfilippo, Filippo; Poursina, Mohammad (Chapter, 2024)

  Achieving effective locomotion for holonomic snake robots in diverse terrains for Search and Rescue (SAR) poses a significant challenge. While biological snakes exhibit complex mobility with the aid of anisotropic skin and ...

• Dynamic Regret Analysis for Online Tracking of Time-varying Structural Equation Model Topologies 

  Zaman, Bakht; Lopez-Ramos, Luis M.; Beferull-Lozano, Baltasar (Chapter, 2020)

  Identifying dependencies among variables in a complex system is an important problem in network science. Structural equation models (SEM) have been used widely in many fields for topology inference, because they are tractable ...

• Exploring the synergy of human-robot teaming, digital twins, and machine learning in industry 5.0: A step towards sustainable manufacturing 

  Langås, Even Falkenberg; Zafar, Muhammad Hamza; Sanfilippo, Filippo (Journal article; Peer reviewed, 2025)

  Sustainable manufacturing remains a central objective of Industry 5.0. By successfully implementing harmonic human-robot teams in intelligent industrial systems, the efficiency and well-being of human workers can be ...

• Safety Assurance of a High Voltage Controller for an Industrial Robotic System 

  Murray, Yvonne; David_Anisi, Alireza; Sirevåg, Martin; Ribeiro, Pedro (Chapter, 2020)

  Due to the risk of discharge sparks and ignition, there are strict rules concerning the safety of high voltage electrostatic systems used in industrial painting robots. In order to assure that the system fulfils its safety ...

• Challenges and opportunities for algebraic reasoning in a 6th grade programming lesson 

  Lid, Elin Røkeberg (Chapter, 2024)

  In this paper I describe challenges and opportunities that arise as two 6th grade teachers attempt to use programming to develop algebraic reasoning in their classrooms. The lesson is part of a collaborative design project. ...

• Designing learning activities to promote algebraic thinking: Equation solving in Grade 5 

  Reid, David Alexander; Carlsen, Martin (Chapter, 2024)

  The aim of this study is to give insights into the design, implementation, and re-design of a teachinglearning activity on algebra at fifth grade. The mathematical topic was linear equations. Drawing on algebraic thinking ...

• Optimizing Rubik’s Cube Solutions: An Exploration of Color Classifica- tion and Machine Learning Integra- tion 

  Wilczek, Hipolit Edward (Master thesis, 2025)

  Oppgaven beskriver utvikling av en rubikskube løser enhet som bennytter Visual Transformer maskinlæring arkitektur og kamera til å klassiffisere rutene på kuben.

• A Data-driven Approach to Payload Heave Motion Prediction under Irregular Waves 

  Zhu, Mingda; Han, Peihua; Landsverk, Ronny; Strandene, Jan Christian Bjerke; Hagen, Daniel; Zhou, Jing (Chapter, 2024)

  Effective handling of the payload with an offshore crane is critical for ensuring safety and efficiency in the offshore operation. Accurate modelling of payload heave motion is essential for safeguarding transportation and ...

• PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping 

  Prasad, Arvind; Chandra, Shalini; Uddin, Mueen; Al-Shehari, Taher; Alsadhan, Nasser A.; Sajid Ullah, Syed (Peer reviewed; Journal article, 2024)

  Android, the world’s most widely used mobile operating system, is increasingly targeted by malware due to its open-source nature, high customizability, and integration with Google services. The increasing reliance on mobile ...

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