Department of Electrical and Computer Engineering (TN-IDE): Nye registreringer
Viser treff 41-60 av 1089
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Recurrent Neural Networks for Artifact Correction in HRV Data During Physical Exercise
(Peer reviewed; Journal article, 2023)In this paper, we propose the use of recurrent neural networks (RNNs) for artifact correction and analysis of heart rate variability (HRV) data. HRV can be a valuable metric for determining the function of the heart and ... -
Automatic AI-Driven segmentation of Acute Ischemic Stroke Regions with CT Perfusion Images
(PhD thesis UiS;, Doctoral thesis, 2023)This thesis investigates artificial intelligence (AI) methodologies to automatically delineate ischemic areas of brain Computed Tomography Perfusion (CTP) scans acquired at hospital admission in patients suspected of acute ... -
A Low-Cost Wireless Body Area Network for Human Activity Recognition in Healthy Life and Medical Applications
(Peer reviewed; Journal article, 2023)Moved by the necessity, also related to the ongoing COVID-19 pandemic, of the design of innovative solutions in the context of digital health, and digital medicine, Wireless Body Area Networks (WBANs) are more and more ... -
Resource Allocation in Networking and Computing Systems: A Security and Dependability Perspective
(Peer reviewed; Journal article, 2023)In recent years, there has been a trend to integrate networking and computing systems, whose management is getting increasingly complex. Resource allocation is one of the crucial aspects of managing such systems and is ... -
Prostate Age Gap: An MRI Surrogate Marker of Aging for Prostate Cancer Detection
(Peer reviewed; Journal article, 2023)Background Aging is the most important risk factor for prostate cancer (PC). Imaging techniques can be useful to measure age-related changes associated with the transition to diverse pathological states. However, biomarkers ... -
Making sense of nonsense : Integrated gradient-based input reduction to improve recall for check-worthy claim detection
(CEUR Workshop Proceedings;, Chapter, 2023)Analysing long text documents of political discourse to identify check-worthy claims (claim detection) is known to be an important task in automated fact-checking systems, as it saves the precious time of fact-checkers, ... -
Mitigating non-linear DAC glitches using dither in closed-loop nano-positioning applications
(American Control COnference (ACC);, Chapter, 2023)Digital-to-analog conversion is essential in digital signal processing applications, including closed-loop control schemes. Noise and distortion in digital-to-analog converters result in reduced performance for high-precision ... -
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 ...