Browsing TKD - Institutt for informasjonsteknologi - Masteroppgaver by Title
Now showing items 1-20 of 77
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A complete CI/CD pipeline for automatizing application containerization and deployment in the Kubernetes cluster
(Master thesis, 2024)This research presents the design and implementation of a comprehensive continuous integration/continuous deployment (CI/CD) pipeline. This proposed framework automates the process of application containerization and ... -
A Platform-Agnostic Deployment Framework for Machine Learning Models: A Case Study with an Image Accessibility Application
(Master thesis, 2024)This thesis explores the integration of DevOps practices into deploying machine learning (ML) models across various cloud platforms. It addresses the challenges of deploying across multiple cloud environments by proposing ... -
A system for collecting labelled data and evaluating AI algorithms for in-ear detection in hearing protection
(Master thesis, 2024)This thesis investigates the integration of artificial intelligence (AI) algorithms to precisely determine the status of an earplug within hearing protection devices, discerning whether it is correctly inserted in the ear ... -
Accessible and usable mobile apps for mental health in higher education
(Master thesis, 2024)This thesis looks into the accessibility and usability of mobile applications meant to support mental health among students in higher education. This is an important topic because mental health problems are becoming more ... -
Advanced Genomes for Evolution of Artificial Neural Networks
(Master thesis, 2024)The thesis titled "Advanced Genomes for Evolution of Artificial Neural Networks" explores the integration of evolutionary algorithms with artificial neural networks (ANNs) to enhance their adaptability and efficiency. The ... -
An Investigation into Usability and Universal Design of Website Cookie Settings Interfaces.
(Master thesis, 2024)The purpose of this thesis is to investigate the usability and universal design of cookie interfaces. Considering increasing concerns about online privacy and data protection, this study aims to identify the primary usability ... -
Applications of Complex Analysis to Selected Problems in Engineering.
(Master thesis, 2024)This master thesis aims to explore the profound applications of complex analysis in solving diverse engineering problems. With this goal in mind, the document is divided into two distinct but interlocked parts: a brief but ... -
Applied AI for Telecom Revenue: Examining eXplainable AI in Customer Churn Prevention
(Master thesis, 2024)This master’s thesis presents a comprehensive study on applying artificial intelligence, particularly eXplainable AI (XAI), to predict customer churn in Telenor’s businessto- business (B2B) sector. The primary objective ... -
Automated Segmentation of Bryozoan Colonies and Prediction of Growth in Kelp Farms
(Master thesis, 2024)In the aquaculture industry, the cultivation and harvesting of seaweed play a pivotal role, of‐ fering substantial economic and ecological benefits. Seaweed biofouling, which includes the growth of undesirable organisms ... -
Automatic Detection of Abnormal Behavior in Virtual Machines with Consideration of Policy-Based Response
(Master thesis, 2024)This study tries to see if it is possible to design and develop an anomaly detection algorithm by using an algorithm based on the chi-squared test. It also looks at how that potential anomaly detection algorithm could be ... -
Automating Deployment of Microservices Using Minimalistic Tools – GitLab, Docker and Kubernetes.
(Master thesis, 2024)This research work is based on the deployment, configuration, and management of microservices in a Kubernetes cluster, which relates to how container orchestration can enhance its scalability and performance using the least ... -
Autonomous condition monitoring of AutoStore robot components using AI-enabled visual inspection
(Master thesis, 2024)AI has increased in popularity over the last decade due to its rapid advance. While it has become popular with the man on the street for its language capabilities, companies also use it in fields such as automa- tion. ... -
Bio-inspired Energy Optimizations to Synchronous Spiking Neural Network Architecture for Reinforcement Learning at Edge Application
(Master thesis, 2024)Reinforcement learning (RL) offers a reward-based model through trial and error within natural contexts, presenting an attractive approach to machine learning due to its simplicity, effectiveness, and similarity to human ... -
Can XAI-guided Point-of-Interest Proposal and SAM Perform Crossmodal Food Image Segmentation?
(Master thesis, 2024)Food image segmentation is a task with multiple problems. There are limited food image segmentation datasets, considerable variability in the types of food available across geographical regions and ethnicities, and adapting ... -
Classification OCTA Images with Deep Learning
(Master thesis, 2024)Advancements in medical imaging, particularly in Optical Coherence Tomography Angiography (OCTA) images, have revolutionized the diagnosis and treatment of various eye diseases. However, the escalating utilization of OCTA ... -
Classification of motor imagery ankle and knee movements using fNIRS
(Master thesis, 2024)fNIRS, a non-invasive neuroimaging technique, captures neural signals using near-infrared light that give insight into hemodynamic responses. fNIRS is paving the way to being a more viable and reliable neuroimaging technique ... -
Cloud Scaling with Narrative-Driven Computing - An approach to designing and implementing algorithms with intrinsic explainability
(Master thesis, 2024)With the emergence of cloud computing, allowing for flexible and scalable infrastructures, dynamic resource allocation has become an important aspect of service management. An optimized resource allocation strategy can ... -
Comparison of motor cortex activation in response to individual finger movements from the right hand using functional near-infrared spectroscopy (fNIRS)
(Master thesis, 2024)This study investigates neural activations within the motor cortex during finger-tapping tasks using functional near-infrared spectroscopy (fNIRS). Focusing on individual fingers of the right hand, the research aims to ... -
Cross-Regional Dynamics of Disease Spread: A Coupled SIRS Model
(Master thesis, 2024)Understanding the dynamics of infectious disease transmission in different populations is a key aspect of public health. In this thesis, the dynamics of infectious disease spread in and between two different regions are ... -
Data and AI for Trading
(Master thesis, 2024)In this thesis my objectives were to explore how data science and artificial intelligence can be applied to make price predictions in the financial market. Methods include sentimental, technical, and fundamental analysis, ...