Faculty of Engineering and Science
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Online detrended fluctuation analysis and improved empirical wavelet transform for real-time oscillations detection in industrial control loops
(Peer reviewed; Journal article, 2023)Detrended Fluctuation Analysis (DFA) is a reliable and assumption-free approach for gauging the complexity of a time series. In this paper, an online oscillations detection paradigm is presented, which integrates the ... -
Hybrid Quantum–Classical Neural Networks for Efficient MNIST Binary Image Classification
(Peer reviewed; Journal article, 2024)Image classification is a fundamental task in deep learning, and recent advances in quantum computing have generated significant interest in quantum neural networks. Traditionally, Convolutional Neural Networks (CNNs) are ... -
Effects of temperature and N:P ratio on the invasion success of the cyanobacterium Raphidiopsis raciborskii
(Peer reviewed; Journal article, 2024)The tropical invasive freshwater cyanobacterium Raphidiopsis raciborskii, first recorded in Central Europe about two decades ago, is now a relatively widespread species, expanding its geographic range. Currently, however, ... -
Enhancing efficient solar energy harvesting: A process-in-loop investigation of MPPT control with a novel stochastic algorithm
(Peer reviewed; Journal article, 2024)PV systems currently generate 4% of the world's energy needs, and their share is growing quickly. The maximum power point tracking (MPPT) is a complex non-convex optimization problem because the electrical characteristics ... -
PersianEmo: Enhancing Farsi-Dari Emotion Analysis with a Hybrid Transformer and Recurrent Neural Network Model
(Journal article; Peer reviewed, 2024)Emotion analysis is a critical research domain within the field of natural language processing (NLP). While substantial progress has been made in this area for the Persian language, there is still a need for more precise ... -
An interpretable and adaptable data-driven model for performance prediction in thermal plants
(Journal article; Peer reviewed, 2025)To safely operate complex industrial systems such as thermal power plants, establishing reliable monitoring tools is paramount for better understanding the underlying processes. Data-driven models are a useful aid for ... -
A Synergistic Approach to Colon Cancer Detection: Leveraging EfficientNet and NSGA-II for Enhanced Diagnostic Performance
(Peer reviewed; Journal article, 2024)Colon cancer remains a leading cause of cancer-related mortality globally, necessitating early and accurate diagnosis to improve patient outcomes. Traditional diagnostic methods rely heavily on manual interpretation by ... -
Model Checking and Verification of Synchronisation Properties of Cobot Welding
(Peer reviewed; Journal article, 2024)This paper describes use of model checking to verify synchronisation properties of an industrial welding system consisting of a cobot arm and an external turntable. The robots must move synchronously, but sometimes get out ... -
Detection of Plant Leaf Diseases Using Internet of Things and Machine Learning Based Drone System
(Chapter, 2024)With rapid improvement in technology, drones become one of the best fit for agriculture due to their various applications such as spraying pesticides and supervising the yield area of farms. A drone-based system can help ... -
Institutional transitions related to mathematics in economics education: from school to university and from mathematics to economics
(Doctoral dissertations at University of Agder;no. 526, Doctoral thesis, 2025)This thesis addresses the international problem of high drop-out and failure rates in the service mathematics course for economics education. The problem is addressed by investigating the institutional transitions students ... -
The Impact of a Mathematics Bridging Intervention on the Inclusivity of a University Economics Programme
(Peer reviewed; Journal article, 2021) -
Bridging the gap: curriculum development addressing the transition into mathematics in economics education
(Journal article, 2024)This paper concerns the transition issue of economics students’ diverse mathematics school backgrounds. The study explores curriculum discontinuities between school and university mathematics-for-economics education in the ... -
Trajectory-based fish event classification through pre-training with diffusion models
(Peer reviewed; Journal article, 2024)This study contributes to advancing the field of automatic fish event recognition in natural underwater videos, addressing the current gap in studying fish interaction and competition, including predator-prey relationships ... -
Towards local Large-Scale Production of UHPC in Norway
(Chapter, 2024)Investigations are presented on development and testing of ultra-high-performance concrete (UHPC), suitable for large-scale production in standard industrial equipment for mixing and transportation of conventional ready-mix ... -
Two contrasting and complementary views of Göttingen: letters from the first female Norwegian Ph.D. in mathematics, Elizabeth Stephansen, to her compatriot Carl Størmer in the winter semester of 1902/3
(Peer reviewed; Journal article, 2024)Late in 1902 and early in 1903 Elizabeth Stephansen, the first female Norwegian Ph.D. in mathematics (1902), wrote two letters from Göttingen to her colleague and compatriot Carl Størmer. The letters can be partly read as ... -
An integrated stacked convolutional neural network and the levy flight-based grasshopper optimization algorithm for predicting heart disease
(Journal article, 2024)Cardiovascular disease is the leading cause of death worldwide, including critical conditions such as blood vessel blockage, heart failure, and stroke. Accurate and early prediction of heart disease remains a significant ... -
Bridging mathematical and microeconomic perspectives: a praxeological analysis of the Lagrange multiplier method
(Journal article; Peer reviewed, 2024)This article investigates the challenges that economics students face when they make the transition from service mathematics course(s) to microeconomics courses with a focus on how the concept of the Lagrange multiplier ... -
Experimental Benchmarking of Energy-Saving Sub-Optimal Sliding Mode Control
(Chapter, 2024)The recently introduced energy-saving extension of the sub-optimal sliding mode control allows for control-off phase during the convergence to second-order equilibrium. This way, it enables for a lower energy consumption ... -
Genome-Wide Population Structure in a Marine Keystone Species, the European Flat Oyster (Ostrea edulis)
(Peer reviewed; Journal article, 2024)Ostrea edulis, the European flat oyster, was once a widespread economically and ecologically important marine species, but hassuffered dramatic declines over the past two centuries. Consequently, there has been a surge in ... -
Phase transformation and electronic structure modulation of 1T-MoS2 with electronegative non-metal doping as anode material for enhanced potassium-ion battery
(Journal article; Peer reviewed, 2024)The scarcity and high cost of lithium resources drive the search for sustainable alternatives, positioning potassium-ion batteries (KIBs) as promising energy storage solutions due to the natural abundance and advantageous ...
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