• Deep learning for Alzheimer’s disease: a fairness perspective 

  Elkafarna, Ayoop Ali Deeb (Master thesis, 2024)

  Alzheimer’s Disease (AD) is a progressive disease, and detecting the disease in early stages enables the patients to begin the treatments for the symptoms to slow down the progression as soon as possible. Neuroimaging data ...

• Estimating false alarm rates of sub-dominant quasi-normal modes in GW190521 

  Capano, Collin D; Abedi, Jahed; Kastha, Shilpa; Nitz, Alexander H; Westerweck, Julian; Wang, Yi-Fan; Cabero, Miriam; Nielsen, Alex Bentley; Krishnan, Badri (Peer reviewed; Journal article, 2024)

  A major aim of gravitational wave astronomy is to test observationally the Kerr nature of black holes. The strongest such test, with minimal additional assumptions, is provided by observations of multiple ringdown modes, ...

• Evaluating the Hybridization and Treatment Effects on the Mechanical Properties of Enset and Sisal Hybrid Composites 

  Bekele, Abera Endesha; Lemu, Hirpa G. (Peer reviewed; Journal article, 2024-09)

  Natural fibers are among the most employed reinforcements in the manufacturing process of innovative fiber-based composite materials. As with any composite materials, the properties of composites depend on the type and ...

• Granite-Based Geopolymers for Zonal Isolation of Carbon Capture and Storage (CCS) Wells – Improvement and Characterization 

  Hajiabadi, Seyed Hasan (Doctoral thesis, 2025)

  Carbon Capture and Storage (CCS) in subsurface formations is crucial for addressing climate change challenges. As global efforts in CCS intensify, ensuring the long-term integrity of CO2 storage is paramount. Wellbore ...

• Oil company investment in offshore windfarms. A business case 

  Osmundsen, Petter; Emhjellen-Stendal, Magne; Lorentzen, Sindre (Peer reviewed; Journal article, 2024)

  European petroleum majors have moved into offshore windfarm projects, with large investments and ambitious capacity and production targets. In aggressive bidding for Contracts for Difference in the UK, where oil companies ...

• Precursor turbulent inflow dataset for large eddy simulation of a semi-idealized European generic city. 

  Shaukat, Usman; Giljarhus, Knut Erik Teigen (Peer reviewed; Journal article, 2024)

  This data article provides high-quality turbulent inflow boundary data with a high spatial and temporal resolution of a very rough atmospheric boundary layer (ABL) wind tunnel, which can be applied as the large eddy ...

• A Probabilistic Reinforcement Learning Framework for Optimized Decision-Making in Geosteering 

  Muhammad, Ressi Bonti (PhD thesis UiS;, Doctoral thesis, 2025)

  Geosteering refers to the process of intentionally adjusting the drilling trajectory to navigate subsurface environment and maintain alignment with target formations. It is a key process used while drilling oil and gas ...

• A risk science perspective on the COVID-19 risk handling 

  Aven, Terje (Peer reviewed; Journal article, 2024-04)

  This paper provides some reflections on the risk handling of the COVID-19 pandemic worldwide: What went wrong, and what worked well? On many issues – for example the origin of the coronavirus, societal lockdowns, and the ...

• Developing a new framework for techno-economic hydrogen energy risk management through probabilistic R.Graph 

  Seiti, Hamidreza; Ghasemi Pirbalouti, Reza; Elkamel, Ali; Selvik, Jon Tømmerås; Makui, Ahmad (Peer reviewed; Journal article, 2024-04)

  In the quest for sustainable energy, hydrogen stands out as a green energy vector. However, its adoption is hindered by safety, environmental, and efficiency challenges due to the risks of hydrogen leakage. Traditional ...

• Classification Analytics for Wind Turbine Blade Faults: Integrated Signal Analysis and Machine Learning Approach 

  Ali, Waqar; El-Thalji, Idriss; Giljarhus, Knut Erik Teigen; Delimitis, Andreas (Peer reviewed; Journal article, 2024)

  Wind turbine blades are critical components of wind energy systems, and their structural health is essential for reliable operation and maintenance. Several studies have used time-domain and frequency-domain features ...

• Deep Water Subsea Energy Storage, Lessons Learned from the Offshore Oil and Gas Industry 

  Juhlin, Rasmus; Slocum, Alexande; Assadi, Mohsen (Peer reviewed; Journal article, 2024)

  In a future where a large portion of power will be supplied by highly intermittent sources such as solar- and wind-power, energy storage will form a crucial part of the power mix ensuring that there is enough flexibility ...

• Translations of climate change consequences at the local level: Climate change adaptation in Bergen and Stavanger municipalities in Norway 

  Morsut, Claudia; Engen, Ole Andreas Hegland; Neby, Simon; Angell, Elisabeth (Peer reviewed; Journal article, 2024-10)

  This paper uncovers a local-level approach to the likely adverse effects of climate change through climate change policies, measures and practices concerning climate change adaptation. The study is sustained by the literature ...

• Effects of process parameters on the surface characteristics of laser powder bed fusion printed parts: machine learning predictions with random forest and support vector regression 

  Dejene, Naol Dessalegn; G. Lemu, Hirpa; Gutema, Endalkachew Mosisa (Journal article, 2024-07)

  Laser powder bed fusion (L-PBF) fuses metallic powder using a high-energy laser beam, forming parts layer by layer. This technique offers flexibility and design freedom in metal additive manufacturing (MAM). However, ...

• Beyond the storm season: The polyrhythms of coastal hazardscapes on the Kūaotunu Peninsula 

  Staupe, Reidar; van Zandvoort, Kerstie; Bremer, Scott Ronald (Peer reviewed; Journal article, 2024-12)

  In this paper, we develop an account of engaged practice of coastal conservation groups with seasonalities on the Coromandel Peninsula in New Zealand, focusing particularly on the polyrhythmicity of change in its coastal ...

• Marine Operations in the Norwegian Sea and the Ice-Free Part of the Barents Sea with Emphasis on Polar Low Pressures 

  Gudmestad, Ove Tobias (Peer reviewed; Journal article, 2024-11)

  The Arctic Seas are attractive for shipping, fisheries, and other marine activities due to the abundant resources of the Arctic. The shrinking ice cover allows for the opening of activities in increasingly larger areas of ...

• Left-invariant pseudo-Riemannian metrics on Lie groups: The null cone 

  Hervik, Sigbjørn (Peer reviewed; Journal article, 2024-12)

  We study left-invariant pseudo-Riemannian metrics on Lie groups using the moving bracket approach of the corresponding Lie algebra.

• Distinguishing glioblastoma progression from treatment-related changes using DTI directionality growth analysis 

  van den Elshout, R.; Ariëns, B.; Esmaeili, Morteza; Akkurt, B.; Mannil, M.; Meijer, F.J.A.; van der Kolk, der; Scheenen, T.W.J.; Henssen, D. (Peer reviewed; Journal article, 2024)

  Background It is difficult to distinguish between tumor progression (TP) and treatment-related abnormalities (TRA) in treated glioblastoma patients via conventional MRI, but this distinction is crucial for treatment ...

• Algorithmic Decision-Making Systems and Risk: An Intersectional Approach 

  Alba, Joel Tyler (PhD thesis UiS;, Doctoral thesis, 2025)

  In theory, technological advancements leverage society against risks. Whether it’s detecting imminent disasters, facilitating climate change adaptation, advancing healthcare recognition systems, or unlocking new sociotechnical ...

• Exploring the Impact of Battery Charge Reduction Rate and the Placement of Chargers on AGV Operation 

  Gade, Marius; Schedel, Matthias; Feng, Yuming; Davidrajuh, Reggie (Peer reviewed; Journal article, 2024-11)

  This paper presents a simulation model to study the effect of the battery charging rate of Automated Guided Vehicles (AGVs) on the overall output of a toy car production environment. This paper uses Modular Petri Nets for ...

• Simulation in the GPenSIM Environment of the Movement of Vehicles in the City Based on Their License Plate Numbers 

  Kossowski, Tomasz; Samolej, Slawomir; Davidrajuh, Reggie (Peer reviewed; Journal article, 2024)

  This paper uses colored Petri nets (PN) to develop a model of vehicle movement in a city. The modeler defines the number and location of crossroads, the connections between them, and how many vehicles are at the given ...

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