TKD - Master i Anvendt data- og informasjonsteknologi (ACIT): Nye registreringer
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Brain activation monitoring from dot-probe task using functional near-infrared spectrocopy
(Master thesis, 2023)Over the past decade, there has been a notable increase of 13% in mental health issues. Approximately one in five children and adolescents globally suffer from a mental health problem, with suicide ranking as the second ... -
Identifying and mitigating barriers to situational awareness in Emergency management information systems
(Master thesis, 2023)Universal design is the design of products, environments, ICT programs and services that makes it possible to be used by all people to the greatest extent possible, without the need of adaption. Disabilities are something ... -
Approaching online gaming patterns through correlations and similarity
(Master thesis, 2023)The purpose of this master thesis is to investigate similarities found in online video game patterns, with the use of applications found in Steam, a distributor of video games. This has been done through correlation in ... -
Supporting content creators create accessible digital content in higher education
(Master thesis, 2023)The recent growth of the digitalisation of education has increased the importance of digital accessibility. In higher education, faculty members and administrative staff are the main content creators who are responsible ... -
Data collection for Machine Learning in 5G Mobile Networks
(Master thesis, 2023)In the world of service delivery, an efficient and scalable monitoring system is mandatory for the continuity of services and identification and troubleshooting of various incidents. 5G core networks deployed in complex ... -
Building goal-specific quantum circuits with evolutionary algorithms
(Master thesis, 2023)This thesis investigates the potential of bio-inspired evolutionary algorithms for designing quantum circuits that prepare highly entangled quantum states. Entanglement is a crucial quantum property and a valuable resource ... -
Conditional Deep Generative Models for Generating Synthetic Electrocardiograms
(Master thesis, 2023)Using artificial intelligence (AI)-based diagnostic tools to assist healthcare professionals has increased significantly in recent years. However, AI is a heavily data-driven approach. Because of lack of data and especially ... -
Visual-inertial-pressure SLAM for Low-cost Remotely Operated Vehicles
(Master thesis, 2023)In recent years, underwater robots have become cheaper and more readily accessible, allowing smaller companies and even private individuals to conduct their own research and explore the underwater domain. This thesis ... -
The Impact of Enterprise Culture on DevOps Adoption: A Study of Security and Collaborative Practices in Software Development
(Master thesis, 2023)Through the years, the need for faster release of software product has increased. DevOps, a combination of software developers and IT operations collaborating together, includes using automation, container technology and ... -
Development and control of a Hybrid VTOL-UAV
(Master thesis, 2023)This study proposes a comprehensive design and construction methodology for a novel tri-copter tilt-rotor Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicle (UAV) dubbed SOAR. SOAR is designed with the dual ... -
Modelling the stochastic evolution of wind profiles using neural networks
(Master thesis, 2023)The aim of this project is to profile a multivariate set of wind speeds corresponding to different heights and composing a vertical speed profile in time. Most importantly, these analysis will be done over a data-set with ... -
Design and Development of a Bio-Inspired Flying Drone
(Master thesis, 2023)This thesis presents the design, development, and testing of a bio-inspired drone with morphing wing capabilities to enhance flight performance and versatility by mimicking the adaptability of natural fliers. The research ... -
An evaluation of using transformer networks for ECG Analysis
(Master thesis, 2023)Electrocardiogram (ECG) is a simulated recording of heart activity in electrical signals. It carries essential clinical information in the form of amplitude and timing. It is used to monitor and analyze the functionality ... -
Cloud Operations to Support UX and Accessibility for Crowdsourced Online Survey Framework Deployment
(Master thesis, 2023)This study investigates different cloud service providers (CSPs) and their deployment platforms in terms of user friendliness and experience. With the help of Docker virtualization, allowing to create an isolated environment, ... -
XMask Clustering: Leveraging eXplainable AI and Clustering for Medical Knowledge Discovery
(Master thesis, 2023)Deep Learning, a subset of machine learning, has shown great ability in supervised medical image classification tasks. Although there are significant advantages, DL models have low interpretability and are considered ... -
Comparing Recurrent Neural Networks for ECG analysis
(Master thesis, 2023)In this thesis, the effectiveness of three types of Recurrent Neural Networks (RNNs) - Basic RNN, Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) - are examined for Electrocardiogram (ECG) signal classification. ... -
Deep Learning with EEG Data
(Master thesis, 2023)Electroencephalogram (EEG) data has shown great promise but requires sophisticated methods due to the complex spatial and temporal patterns found in such data, so this research was conducted with the objective to investigate ... -
A Robust and Secure Edge-Based AI System Against Adversarial Attacks
(Master thesis, 2023)Ensuring the safe deployment and use of artificial intelligence (AI) in safety-critical systems is crucial in the reality of effective adversarial attacks (AAs). AAs involve manipulating the data inputs to AI models to ... -
Evaluate Kubernetes for Stateful and highly available enterprise database solutions
(Master thesis, 2023)With the increasing adoption of containerization and microservices, Kubernetes has become a popular choice for managing complex distributed systems. This project evaluates the feasibility of setting up a high availability ... -
Exploring elementary cellular automata rules as a reservoir for solving reinforcement learning tasks
(Master thesis, 2023)This thesis presents a novel approach for solving reinforcement learning tasks using elementary cellular automata (ECA) based reservoir computing (RC). Combining theories from these three fields to create a baseline for ...