Faculty of Science and Technology
Sub-communities within this community
Recent Submissions
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A Probabilistic Reinforcement Learning Framework for Optimized Decision-Making in Geosteering
(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
(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
(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
(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
(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
(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
(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
(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 ... -
Left-invariant pseudo-Riemannian metrics on Lie groups: The null cone
(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. -
Marine Operations in the Norwegian Sea and the Ice-Free Part of the Barents Sea with Emphasis on Polar Low Pressures
(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 ... -
Distinguishing glioblastoma progression from treatment-related changes using DTI directionality growth analysis
(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
(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
(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
(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 ... -
Spillover effects from agglomeration in seafood exports
(Peer reviewed; Journal article, 2024)Agglomeration externality is a feature that has received limited attention in food production supply chains. Using highly disaggregated trade data, this paper investigates the presence of regional agglomeration effects in ... -
Effects of Process Parameters on the Quality of Metal Additive Manufacturing in Laser Powder Bed Fusion Systems
(PhD thesis UiS;, Doctoral thesis, 2024)Additive Manufacturing (AM) has revolutionized the manufacturing industry since its emergence in the 1980s. Initially used for rapid prototyping, AM now enables the direct fabrication of complex geometries based on ... -
Exploration and Improvement of the Sealability Performance of Two-Part Granite-Based Geopolymer for Oil Well Cementing Applications
(PhD Theses;821, Doctoral thesis, 2024)Zonal isolation is essential to producing hydrocarbon from the subsurface. Zonal isolation ensures the well integrity and efficiency of oil and gas wells by preventing fluid migration and ensuring optimal production in the ... -
Radar Emitter Localization Based on Multipath Exploitation Using Machine Learning
(Peer reviewed; Journal article, 2024)In this study, a Machine Learning (ML)-based approach is proposed to enhance the computational efficiency of a particular method that was previously proposed by the authors for passive localization of radar emitters based ... -
Assessment of the accuracy of 3D printed medical models through reverse engineering
(Peer reviewed; Journal article, 2024-06)The dimensional accuracy of additively manufactured (3D printed) medical models can be affected by various parameters. Although different methods are used to evaluate the accuracy of additively manufactured models, this ... -
The presence of antibiotic-resistant bacteria at four Norwegian wastewater treatment plants: seasonal and wastewater-source effects
(Peer reviewed; Journal article, 2024)Wastewater treatment plants receive low concentrations of antibiotics. Residual concentrations of antibiotics in the effluent may accelerate the development of antibiotic resistance in the receiving environments. Monitoring ...
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