Blar i Studentoppgaver (TN-IDE) på dokumenttype "Master thesis"
Viser treff 1-20 av 463
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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 ... -
A Deep Learning Approach to Generating Human Faces in 3D Media
(Master thesis, 2023)This paper proposes new machine learning architectures for generating face meshes that can be used in 3D media. They are based on the architecture introduced in "pix2pix: Image-to-image translation with a conditional GAN". ... -
A Federated Computational Workflow for Analysis of DISKOS Digital Palynological Slides
(Master thesis, 2023)A novel federated computational workflow for analyzing digital palynological slide images is implemented in this thesis. The slide data files, typically exceeding 3GB, present significant data mobility and computation ... -
A General Infrastructure for Communication between Petri Modules
(Master thesis, 2021)Modularization provides many benefits to real-world discrete-event systems, such as flexibility, comprehensibility, and robustness. Davidrajuh[2] presents a new modular Petri net with well-defined Petri modules. With the ... -
A Machine Learning approach for Building Segmentation using laser data
(Master thesis, 2023)Buildings are essential for population information, city management, and policy-making. Various computer vision technologies have proven helpful in building-related scenarios, where segmentation has proven to be the most ... -
A Multi-class Dementia Classification Assessment Utilizing GAN to Convert MRI Scans from the 1.5T Domain to the 3.0T Domain
(Master thesis, 2022)Dementia is the seventh leading cause of death among all diseases and increases rapidly. With 10 million new cases every year, research is crucial for finding a treatment to cure dementia in the future. Magnetic resonance ... -
A Practical Analysis of the Gorums Framework: A Case Study on Replicated Services with Raft
(Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06-15)Gorums is a novel RPC framework developed to make it easier to build fault tolerant distributed systems. We want to assess whether Gorums can simplify the implementation of a practical fault tolerant service that supports ... -
A Study on Physics Informed Neural Networks, with Applications for Compartment Models
(Master thesis, 2022)The main goal of this thesis was to investigate the methodology of Physics Informed Neural Networks (PiNN), as a computational tool leveraging differential equations as a regularization for a learning task. PiNN is a new ... -
A system for automatic cultivation of microogranisms in the biology laboratory
(Master thesis, 2021)Currently, the biology laboratory at the University of Stavanger has a manually controlled microorganism cultivation setup used for studying different types of biological wastewater treatment. The setup uses a sequencing ... -
A system for automatic cultivation of microorganisms in the biology laboratory.
(Master thesis, 2021)Currently, the biology laboratory at the University of Stavanger has a manually controlled microorganism cultivation setup used for studying different types of biological wastewater treatment. The setup uses a sequencing ... -
A Web Based Solution to Track Trawl Vessel Activities Over Pipelines in Norwegian Continental Shelf
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)Vessel Activities such as trawling and anchoring represent a risk to offshore marine structures such as pipelines, subsea structures, cables and platforms. Third party interference is a major contributor to the damage and ... -
Acropolis: aggregated client request ordering by Paxos
(Masteroppgave/UIS-TN-IDE/2013;, Master thesis, 2013)The consensus problem is one of the most central problems in distributed system. Paxos, an algorithm that solves this problem, can be used to im- plement replicated state machines (RSMs). By running Paxos for each of the ... -
Active Noise Control in the Offshore Industry
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-29)Hearing damage among offshore workers has been a problem for many years, and it remains one of the most common disorders in this group. A proposal to use active noise control to improve the noise conditions has thus been ... -
Adapt and Generalize Deep Learning Methods for Activity Recognition on Newborn Resuscitation Videos
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-15)Low- and middle-income countries have nearly 99 % of deaths of children under 28 days. Complications during childbirths, such as birth asphyxia, account for most of these deaths. To prevent this, strengthening the quality ... -
Adaptive Selection and Delivery of Rich Media Notifications to Mobile Users
(Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)The ongoing increase in cellular network coverage is steadily increasing the availability of individuals all around the world. This availability enables notification solutions to achieve their goals of announcing new ... -
Adding scalability and high availability to enterprise performance management software
(Masteroppgave/UIS-TN-IDE/2014;, Master thesis, 2014-06-12)Corporater AS is a world leading provider of enterprise performance management software. The reason for businesses to use enterprise performance management systems so that the company can make better decisions based on the ... -
Advanced Deep Learning for Whale detection in VHR Satellite Images
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)With the use of very high resolution (VHR) satellite images we can locate whales. In this thesis, I have experimented with different advanced architectures in Deep Learning to detect whales in satellite images. I have also ... -
Advanced vision based vehicle classification for traffic surveillance system using neural networks
(Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-06)This master thesis focus on traffic monitoring, which are of importance to fulfill planning and traffic management of road networks. An important requirement is data interpretation accuracy to provide adequate characteristic ... -
AI based residential load forecasting
(Master thesis, 2022)The increasing levels of energy consumption worldwide is raising issues with respect to surpassing supply limits, causing severe effects on the environment, and the exhaustion of energy resources. Buildings are one of the ...