Department of Electrical and Computer Engineering (TN-IDE): Recent submissions
Now showing items 101-120 of 1142
-
Detection and localization of melanoma skin cancer in histopathological whole slide images
(European Signal Processing Conference;, Chapter; Conference object, 2023)If melanoma is diagnosed and treated in its early stages can increase the survival rate. A projected increase in skin cancer incidents and a shortage of dermatopathologists have emphasized the need for computational pathology ... -
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 ... -
An XAI approach for COVID-19 detection using transfer learning with X-ray images
(Peer reviewed; Journal article, 2023-04)The coronavirus disease (COVID-19) has continued to cause severe challenges during this unprecedented time, affecting every part of daily life in terms of health, economics, and social development. There is an increasing ... -
A Practical Implementation of Medical Privacy-Preserving Federated Learning Using Multi-Key Homomorphic Encryption and Flower Framework
(Peer reviewed; Journal article, 2023-10)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, which enables ... -
5G-MEC Testbeds for V2X Applications
(Peer reviewed; Journal article, 2023-05)Fifth-generation (5G) mobile networks fulfill the demands of critical applications, such as Ultra-Reliable Low-Latency Communication (URLLC), particularly in the automotive industry. Vehicular communication requires low ... -
Structural identifiability of biomolecular controller motifs with and without flow measurements as model output
(Peer reviewed; Journal article, 2023-08)Controller motifs are simple biomolecular reaction networks with negative feedback. They can explain how regulatory function is achieved and are often used as building blocks in mathematical models of biological systems. ... -
Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction
(Peer reviewed; Journal article, 2023-09)Heart rate variability (HRV) is the variation in time between successive heartbeats and can be used as an indirect measure of autonomic nervous system (ANS) activity. During physical exercise, movement of the measuring ... -
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 ... -
Interval Type 2 Fuzzy Adaptive Motion Drive Algorithm Design
(Peer reviewed; Journal article, 2023-07)Motion drive algorithms are a set of filters designed to simulate realistic motion and are an integral part of contemporary vehicle simulators. This paper presents the design of a novel intelligent interval type 2 fuzzy ... -
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 ...