Studentoppgaver (TN-IDE)
Studentoppgaver i informasjonsteknologi, datateknikk / kybernetikk, signalbehandling
Recent Submissions
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Defect detection in industrial images
(Master thesis, 2023)This thesis aims to identify defects in industrial images using Printed Circuit Board(PCB) images. Defect detection in industrial images is crucial in this era that we are living in today. There is a rising demand for ... -
Enhanced analysis of circulating tumor DNA in pancreatic cancer using machine learning
(Master thesis, 2023)Machine learning was used in this thesis in the medical field, and the purpose was to help in the detection of pancreatic cancer, detecting the disease status for patients with pancreatic cancer, and predicting the circulating ... -
Utvikling av oppgaver og løsningsforslag til bruk med Lego EV3 og Matlab/Python
(Master thesis, 2022)Emnet ELE130 Anvendt matematikk og fysikk i robotprogrammering i 2. se- mester består bl.a. av et Legoprosjekt hvor LEGO Mindstorms EV3 brukes sammen med enten Matlab eller Python. Som en del av prosjektbeskrivel- sen er ... -
Bastion: En applikasjon for å dele hemmeligheter
(Bachelor thesis, 2023)Bastion er en webapplikasjon for deling av hemmeligheter, og den gjør deling av hemmeligheter raskt, enkelt og trygt for ansatte og kunder hos Bouvet. Ved hjelp av Bastion kan man dele krypterte hemmeligheter gjennom en ... -
Machine learning to detect corporate greenwashing
(Master thesis, 2023)This master thesis focuses on developing an automatic approach to detect corporate greenwashing. To achieve this, data must be collected, and green claims found from this data must be fact checked. The first step is to ... -
Lattice-Based Cryptography for Privacy Preserving Machine Learning
(Master thesis, 2023)The digitization of healthcare data has presented a pressing need to address privacy concerns within the realm of machine learning for healthcare institutions. One promising solution is Federated Learning (FL), which enables ... -
Human-Guided Phasic Policy Gradient in Minecraft: Exploring Deep Reinforcement Learning with Human Preferences in Complex Environments
(Master thesis, 2023)This study presents a novel approach to enhancing the performance of artificial agents in complex environments like Minecraft, where traditional reward-based learning strategies can be challenging to apply. To improve the ... -
Solving a jigsaw puzzle with the use of image processing
(Master thesis, 2023)In this thesis, we present an automated solution for assembling jigsaw puzzles using a combination of image processing techniques. Our approach involves employing feature extraction methods to isolate and categorize the ... -
Novel Data Encodings For Quantum Machine Learning: Enhancing the Quantum Feed-forward Neural Network for Improved Image Recognition
(Master thesis, 2023)Quantum machine learning combines the realms of quantum computing with artificial intelligence, providing novel approaches to problem-solving. Quantum image recognition is one such problem that has attracted significant ... -
Developing and Testing Digital Twins for Vehicle Collision Prediction: A Machine Learning and Genetic Search Algorithm Approach
(Master thesis, 2023)This thesis focuses on developing a digital twin which can predict and avoid collisions. The digital twin does this by using different machine learning models that are trained on data from the SVL Simulator. By harnessing ... -
Privacy of 5G Enabled Networks: Homomorphic Encryption based Privacy-Preserving Machine Learning
(Master thesis, 2023)Homomorphic encryption (HE) is a technique that allows computations to be performed on encrypted data, just as if the data were unencrypted. This has numerous potential applications, such as sensitive medical data, mainly ... -
5G RF Spectrum-based Cryptographic Pseudo Random Number Generation for IoT Security
(Master thesis, 2023)This thesis presents a novel approach for generating truly random num- bers in 5G wireless communication systems using the radio frequency (RF) spectrum. The proposed method leverages variations in the RF spectrum to create ... -
Evolving Deep Neural Networks for Continuous Learning: Addressing Challenges and Adapting to Changing Data Conditions without Catastrophic Forgetting
(Master thesis, 2023)Continuous learning plays a crucial role in advancing the field of machine learning by addressing the challenges posed by evolving data and complex learning tasks. This thesis presents a novel approach to address the ... -
Predictive maintenance with industrial sensor data
(Master thesis, 2023)The Norwegian Ministry of Petroleum and Energy Commissions report shows that the government is making a large step closer to its ambition of allocating regions for 30,000 MW offshore wind via way of means of 2040. According ... -
Implemention and Evaluation of a Private Set Intersection Protocol Built With Fully Homomorphic Encryption
(Master thesis, 2023)Homomorphic encryption is a cryptographic technique which allows for computations on encrypted data. This type of cryptography helps respect the privacy of an entity that wishes to outsource computations on their data. ... -
Spark Optimization: A Column Recommendation System for Data Partitioning and Z-Ordering on ETL Platforms
(Master thesis, 2023)In this thesis, we present a solution for the challenge of optimizing the retrieval of data in Spark. Our column recommendation system is based on Spark's event logs and finds influential columns for Z-ordering and ... -
Automatic test-system for resolver measurement used in robots
(Master thesis, 2023)The Serial Measuring Unit (SMU) is a component used to measure motor angles in robot joints at ABB. Currently, the SMU is under development, and ABB has to manually test the SMU to ensure that changes to the software or ... -
New control structure for high voltage fields
(Master thesis, 2023)In electrostatic painting, a high voltage is applied to the paint, attracting the paint particles toward a grounded work object, drastically increasing the efficiency of the painting process. However, combining high voltage ... -
Deep learning-based automated detection and clustering of potholes using variational autoencoder for efficient road maintenance
(Master thesis, 2023)In this study we explore the possibility of using unsupervised learning for pothole detection. We will use images of roads from Brazil where both potholes and cracks can be present in the images, as well as clean images ... -
Data Driven Model Discovery - Petroleum application
(Master thesis, 2023)The SINDy algorithm is a data driven algorithm that discovers dynamical system in data that evolves over time. The method can be utilized for every dataset that evolves over time. In this study we have looked the Lorenz ...
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