Master's theses (RealTek)
Unless otherwise stated on the individual theses, the works in this collection are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Hvordan legger oppgaver fra tre læremidler i matematikk 1T til rette for at elevene øver på stegene i modelleringssyklusen?
(Master thesis, 2024)Matematisk modellering har fått økt fokus i matematikkundervisningen etter at det kom inn som et kjerneelement i Fagfornyelsen (LK20). Forskning har vist at modellering er nyttig og motiverende, men også at elevene strever ... -
Bruk av multivariable beslutningsmodeller for å ta miljøhensyn i eiendomsledelse
(Master thesis, 2024)Bygge- og eiendomsnæringen har en kompleks sammensetning når det gjelder miljøavtrykk (Asplan Viak, 2019). I dagens verdenssituasjon peker en rekke organisasjoner, som FN, på at vår tids utfordring er miljøforandringer og ... -
Head and neck cancer treatment outcome prediction: a dynamical low-rank model approach
(Master thesis, 2024)Machine learning (ML) has emerged as an essential tool for optimizing processes across diverse sectors, including healthcare. However, ML models for cancer detection, diagnosis, and research often require Deep Neural ... -
Estimation of Norwegian wind farm degradation using a performance index accounting for local wind resources
(Master thesis, 2024)Vindkraft er forventet å være en viktig del av utviklingen i den norske energisektoren. Det er viktig å vite hvordan vindparkene presterer i løpet av sin levetid, og hvordan dette påvirker kraftsystemet som helhet. Et ... -
Evaluating the Impact of Similarity Measures on Transfer Learning in Economic Time Series Analysis
(Master thesis, 2024)This thesis investigated the impact of various similarity metrics on Transfer Learning effectiveness in economic time series analysis. The complexity of economic data presents unique challenges for predictive modeling. ... -
Exploring Convolutional Neural Networks for Road User and Object Classification: Insights from Feature Visualization and Layer-by-Layer Analysis
(Master thesis, 2024)This study investigates the roles of various architectural layers within convolutional neural networks (CNNs) and their impact on the efficiency and accuracy of object classification in urban environments. By employing a ... -
Utforsking av metode for tidlig evaluering av dagslys i skolebygg
(Master thesis, 2024)For å skape bærekraftige og tilpasningsdyktige skolebygg er integrering av dagslys viktig i arkitektonisk design. Gode dagslysforutsetninger legger til rette for økt fleksibilitet, noe som er avgjørende for å tilpasse seg ... -
Investigating the Viability of Machine Learning for the Prediction of Icing Occurrences at Airports
(Master thesis, 2024)Ensuring the functionality of airport operations amidst changing weather conditions is crucial for maintaining operational efficiency and ensuring safety. This thesis investigates using Machine Learning (ML) techniques to ... -
Solar Cell Defects Classification: Evaluating CNN Architectures using Local Interpretable Model Agnostic Explanations and Feature Map Visualizations
(Master thesis, 2024)This thesis explores the use of Convolutional Neural Networks (CNNs) for detecting and classifying of defects in solar cell images. With the rapid expansion of solar energy systems, ensuring the reliability and efficiency ... -
A Data-Driven Exploration: Providing Early Feedback on Socioeconomic Mitigation Strategies for Climate Change
(Master thesis, 2024)The current rate of climate change is unprecedented in millennia and represents one of humanity’s most significant issues for the 21st century, with serious consequences for both civilization and the environment if no ... -
Diagnostics of Canine Elbow Dysplasia using Deep Learning with Explainability Analysis
(Master thesis, 2024)Elbow Dysplasia is a term used to describe the presence of one or several abnormalities involving the elbow joint. It is genetically inheritable and could in the worst case lead to lameness in dogs. In Norway, dogs can be ... -
Improving Readability and Accessibility of National Drinking Water Data in Norway through Dashboard Visualization
(Master thesis, 2024)Ensuring access to reliable information on drinking water supply and quality is essential for public health. However, Norway faces challenges in effectively disseminating comprehensive data on drinking water systems. Current ... -
Fotogrammetrisk modellering av steinoverflater i sideareal til veg fra 360-graders kamera: En undersøkelse av metode for detektering av steinsprang
(Master thesis, 2024)Denne masteroppgaven er skrevet for Nye Veier og utforsker en ny metode for registrering av steinspranghendelser, som kan redusere behovet for manuelle inspeksjoner og potensielt øke sikkerheten langs norske veier. Oppgaven ... -
Integration of stochastic modeling and machine learning for estimating inertia in the Nordic power system
(Master thesis, 2024)Denne master oppgaven foreslår metoder for å estimere lagret kinetisk energi i det Nordiske kraftsystemet ved bruk av både stokastisk modellering av frekvens for å estimere en regional treghetskonstant, og en Long Short-Term ... -
Diagnosis of canine hip dysplasia using deep learning
(Master thesis, 2024)Hofteleddsdysplasi (HD) hos hund er en arvelig sykdom kjennetegnet av unormal utvikling av hofteleddet. Sykdommen diagnostiseres på en skala fra A til E, der hofteledd med diagnoser A og B betraktes som normale, mens ledd ... -
Potential Field-Based Path Planning for Enhanced Sensor Coverage in Robotic Salmon Inspection
(Master thesis, 2024)Laks utgjør en stor andel av fiskeindustrien, og den økende forekomsten av laksefilleter med melaninflekker forårsaker store økonomiske tap grunnet nedsatt kvalitetsoppfatning hos kundene. Studier viser at Omega-3 ... -
Additive manufacturing for the offshore environment: the options available to Aker BP and Additech
(Master thesis, 2024)Within the framework of additive manufacturing for the offshore environment, as presented by Aker BP and Additech, this thesis summarizes the options available for rapidly producing complex parts of industrial quality. The ... -
Survival Analysis Using Deep Learning Models for Head and Neck Cancer Patients
(Master thesis, 2024)This thesis made deep learning models for time-to-event prediction on patients with head and neck cancer. The follow-up period was split into ten time intervals, spanning a five year period. The models predicted the time ... -
Analysis of the profitability of HESS and BESS participating in the Norwegian reserve and day-ahead markets
(Master thesis, 2024)Den økende andelen av uregulerbare fornybare energikilder, som vindkraft, utgjør en utfordring for stabiliteten og påliteligheten til det norske strømnettet. For å håndtere denne utfordringen, utforsket denne masteroppgaven ... -
Comparative study of SLAM systems in various environments using different sensing technologies
(Master thesis, 2024)This thesis explores a comparative study on camera based and LIDAR based Simultaneous Localization and Mapping (SLAM) systems across diverse environments, specifically agricultural orchards and urban parking lots. For ...