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  • Hybrid AI‑Powered Real-Time Predictive Maintenance for Railway Wheelsets and Bogies 

    Sabir, S G N (Master thesis, 2025)
    This thesis presents a Hybrid AI-based predictive maintenance system specifically designed to monitor railway wheels and bogies. The implemented solution uses real-time sensor data such as vibrations, wheel-rail forces, angles, and weather conditions to detect anomalies and predict maintenance requirements in advance. The presented system applies a hybrid anomaly detection framework consisting of ...
  • Automated Data Analysis with Large Language Models for Warehouse Robotics Applications 

    Islam, Md Saidul (Master thesis, 2025)
    The research develops two automated data analysis frameworks, ARMADA and FACTS, to tackle essential operational problems in warehouse robotics systems. Warehouse robotics environments encounter ongoing problems with maintenance optimization and technical documentation processing that negatively affect operational efficiency. The ARMADA(Anomaly Recognition for Maintenance and Diagnostic Applications) ...
  • Design of an Emergency Recovery System (ERS) for High Altitude Drone Systems 

    Dahl, Øyvind Kasberg (Master thesis, 2025)
    A new type of emergency parachute system is developed using engineering, combining off-the-shelf components with parts produced with additive manufacturing. A new ultralight method for retaining the the parachute and lid using as thin line is developed and tested, An ultralight redundant trigger mechanism with health monitoring to ensure reliable triggering is also developed and tested. Parts ...
  • Experimental Transformer System for Time Series Forecasting 

    Refsvik, Kevin Birger Røstgård (Master thesis, 2025)
    The goal of the project is to use and suit a transformer based foundation model such as Lag-Llama (https://arxiv.org/abs/2310.08278) to forecast energy prices. Lag-Llama is pretrained on a large corpus of diverse time series data from several domains, and demonstrates strong zero-shot generalization capabilities compared to a wide range for forecasting models. The forecasting task should focus on ...
  • Sloshing and Motion Analysis of a Modular Aquaculture Tank in Rough Inshore Seas 

    Kvernmo, Randi Emelie (Master thesis, 2025)
    Floating closed containment fish farms are highly susceptible to severe sloshing due to their large proportion of internal liquid mass. The coupled fluid-structure interaction is shown to be affected by the presence of internal liquid as the rigid body motion of a closed containment fish farm is subject of sloshing analysis through CFD simulations applying external wave loads. The simulations ...
  • Exploring Unsupervised Contrastive Learning Methods for ECG Analysis 

    Brinti, Sumaia Jahan (Master thesis, 2025)
    The analysis of electrocardiogram (ECG) signals is vital for the early detection and diagnosis of cardiac abnormalities, yet progress in automated ECG interpretation is constrained by the scarcity of high-quality labeled data. This thesis investigates unsupervised contrastive learning as a means to overcome these limitations and unlock clinically relevant representations from unlabeled ECG recordings. ...
  • Finite Element Modeling of the Skattørsund Bridge 

    Nyamayaro, Joseph (Master thesis, 2025)
    This thesis presents a comprehensive finite element analysis (FEA) of the Skattørsund Bridge, a concrete slab bridge in Norway, using shell-based modeling techniques. The study aims to evaluate the bridge's structural behavior under static and dynamic loads, including traffic, environmental factors, and natural hazards, to ensure its long-term safety and performance. The research leverages the Finite ...
  • A Multi-Agent Real-Time Surveillance System for Object Abandonment, Crowd Anomaly Detection, and Face Recognition 

    Strand, Tord (Master thesis, 2025)
    This project presents the development of a real-time, multi-agent surveillance system designed to detect abandoned luggage, monitor crowd density, and perform face recognition for access control. The system leverages deep learning models, YOLOv5 for object detection and FaceNet for facial identification, integrated within a lightweight Python-based framework supporting parallel camera agents. A ...
  • Master thesis – Development of a portable energy convertor (heat to electric) for chimneys or wood – burning fireplace 

    Papannagari, Sairahul (Master thesis; Mastergradsoppgave, 2024-05-15)
    The objective of this thesis addresses the challenge of designing a device capable of converting waste heat from metal chimneys or wood-burning fireplaces into usable electrical power. The product aims to be portable, easy to install, and adaptable to various chimney and fireplace configurations. This includes exploring various heat-to-electrical energy conversion technologies, researching existing ...
  • GAP‐analyse av dagens opplæring for underordnet mannskap ved seiling i arktiske farvarnn sett i lys av næringens behov 

    Elvegård, Rune; Isaksen, Roald Ovid; Meidell, Annette (Research report; Forskningsrapport, 2023)
    Kompetansenodens formål er ifølge Nærings- og fiskeridepartementet sitt oppdrag å styrke den maritime næringens kompetanse om særskilte utfordringer knyttet til skipsoperasjoner i polare farvann. I arbeidet med å styrke arktisk maritim kompetanse skal det tas utgangspunkt i innmeldte problemstillinger, utfordringer og behov fra aktører i skipsfartsnæringen. <p> <p>Polarkoden stiller krav til ...
  • Conversion between CAD models and generalized expo-rational B-spline surfaces 

    Kravetc, Tatiana (Journal article; Tidsskriftartikkel; Peer reviewed, 2025-05-31)
    The proposed method demonstrates the conversion between a NURBS model and a generalized expo-rational B-spline (GERBS) surface with the aim of utilizing special combined expo-rational basis functions in finite element analysis.<p> <p>To achieve the transformation from a NURBS patch to a GERBS surface element, a linear extraction operator is employed. This operator maps the local combined expo-rational ...
  • Old and new on the Peetre K-functional and its relations to real interpolation theory, quasi-monotone functions and wavelets 

    Dalmo, Rune; Samko, Natasha Gabatsuyevna; Persson, Lars-Erik (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-12-10)
    The Peetre K-functional is a key object in the development of the real method of interpolation. In this paper we point out a less known relation to wavelet theory and its applications to approximation theory and engineering applications. As a new basis for further development of these studies we present some known properties in the form appropriate for further applications and then derive new ...
  • Augmented reality projections as a tool to enrich simulations in health care education: Combining AR projector technology with manikins 

    Brustad, Tanita Fossli; Pedersen, Aleksander; Høgbakk, Mona Lahm; Wangberg, Silje C (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-11-24)
    The advancement of augmented reality in recent years has increased the interest and potential of using the technology in various fields. In health care education augmented reality is becoming a popular tool, together with manikins, to enhance realism of patient interaction for students in a learning environment. The purpose of this research was to study an augmented reality projector and its ability ...
  • Homogenization of nonlocal spectral problems 

    Piatnitski, Andrei; Rybalko, Volodymyr (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-11-11)
    We consider a spectral problem for convolution-type operators in environments with locally periodic microstructure and study the asymptotic behavior of the bottom of the spectrum. We show that the bottom point of the spectrum converges as the microstructure period tends to zero, and identify the limit in terms of an additive eigenvalue problem for effective Hamilton–Jacobi equation. In the periodic ...
  • Research on wavelets and artificial intelligence algorithms for structural health monitoring of concrete bridges 

    Storni, Daniele; Singh, Harpal; Tangrand, Kristoffer Meyer; Grip, Niklas (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-23)
    In this paper, we present a comprehensive study of wavelet theory with a focus on structural damage detection. A new example of the application of operational modal analysis (OMA) techniques to a concrete railway arch bridge located over the Kalix river in L{\aa}ngforsen, Sweden is presented. Results from the OMA techniques are used for finite element model (FEM) updating of this concrete railway ...
  • ON HARDY-TYPE INEQUALITIES AS AN INTELLECTUAL ADVENTURE FOR 100 YEARS 

    Persson, Lars-Erik; Samko, Natasha Gabatsuyevna (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-02-02)
    We describe some chosen ideas and results for more than 100 years prehistory and history of the remarkable development concerning Hardy-type inequalities. In particular, we present a newer convexity approach, which we believe could partly have changed this development if Hardy had discovered it. In order to emphasize the current very active interest in this subject, we fnalize by presenting some ...
  • Oscillatory and spectral properties of a class of fourth-order differential operators via a new Hardy-type inequality 

    Oinarov, Ryskul; Kalybay, Aigerim; Persson, Lars-Erik (Journal article; Tidsskriftartikkel; Peer reviewed, 2024)
    In this paper, we study oscillatory properties of a fourth-order differential equation and spectral properties of a corresponding differential operator. These properties are established by f irst proving a new second-order Hardy-type inequality, where the weights are the coefficients of the equation and the operator. This new inequality, in its turn, is established for functions satisfying certain ...
  • Weighted estimates of commutators of singular operators in generalized Morrey spaces beyond Muckenhoupt range and applications 

    Samko, Natasha Gabatsuyevna (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-05-30)
    For a certain class of radial weights, we prove weighted norm estimates for commutators with BMO coefficients of singular operators in local generalized Morrey spaces. As a consequence of these estimates, we obtain norm inequalities for such commutators in the generalized Stummel-Morrey spaces. We also discuss a.e. well-posedness of singular operators and their commutators on weighted generalized ...
  • Crafting Creative Melodies: A User-Centric Approach for Symbolic Music Generation 

    Dadman, Shayan; Bremdal, Bernt Arild (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-03-18)
    Composing coherent and structured music is one of the main challenges in symbolic music generation. Our research aims to propose a user-centric framework design that promotes a collaborative environment between users and knowledge agents. The primary objective is to improve the music creation process by actively involving users who provide qualitative feedback and emotional assessments. The ...
  • Development of a Jig for CMM Measurements on AutoStore Bins 

    Bjørhovde, Ida J.T. (Master thesis; Mastergradsoppgave, 2023-05-25)
    The AutoStore Bins are highly technical plastic products manufactured with injection moulding. To ensure the production parameters are within given specifications, CMM scanning is done on samples from the production.

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