Browsing TKD - Master i Anvendt data- og informasjonsteknologi (ACIT) by Title
Now showing items 29-48 of 243
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Citizen Participation and ICT for Urban Development in Oslo, Norway
(ACIT;2021, Master thesis, 2021)The Green Capital of Europe (Oslo in 2017) is a demonstration of effective waste management and energy efficiency capabilities of Oslo. This sustainability had been possible because of local government and municipalities ... -
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, ... -
Colour Contrast Based On WCAG 2.0
(Master thesis, 2015)Insufficient contrast between text and the background is a common problem on the web meanwhile very few researchers study the insights of the designers’ design thinking process, how they choose the specific colours from ... -
A comparative study between Microservices and Serverless in the cloud
(ACIT;2022, Master thesis, 2022)The revolutionary transformation toward cloud computing microservices has gained rapid momentum among IT circles due to its agility, scalability, and resiliency. Many applications are deployed using microservices at their ... -
A Comparative Study of Classical and Quantum Deep Q-Learning Agents in OpenAI Gym
(Master thesis, 2023)This study delves into the potential of quantum Deep Q-Learning (DQL) as an efficient approach to solving OpenAI Gym problems, setting it against the backdrop of classical DQL. Within the dynamic landscape of quantum ... -
Comparative study of data transformation tools: An investigation of functionalities supported in common tools and case study of declarative and procedural data manipulation languages
(ACIT;2022, Master thesis, 2022)Today, organizations are collecting and storing huge amounts of data that could potentially be very valuable. Finding trends and patterns in historic data can allow businesses to make more informed decision. Data scientists ... -
A comparative study of usability and accessibility of Norwegian educational institute websites for screen reader users based on user experience and automated assessment
(Master thesis, 2019)A website is an essential part of the education system, mainly in schools or universities, as it aids the students with diverse abilities to access the information offering the flexibility in times and locations for learning ... -
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. ... -
Comparing the efficacy of motor imagery and visual imagery stimuli with Emotiv EEG.
(Master thesis, 2017)The number of consumer grade Electroencephalography (EEG) based brain-computer interfaces (BCI) on the market has increased considerably in recent years. New BCI technologies are emerging every year and the summary of the ... -
Comparison and benchmarking of reservoir computing using cellular automata and random boolean networks as substrates
(ACIT;2022, Master thesis, 2022)Reservoir Computing is an emerging concept in artificial intelligence derived from Recurrent Neural Networks, which utilizes an untrained reservoir substrate to memorize and separate input in such a way that it may be ... -
A comparison of management of virtual machines with z/VM and ESX Server
(Master thesis, 2007)Virtualization and virtual machines are becoming more and more important for businesses. By consolidating many servers to run as virtual machine on a single host companies can save considerable amounts on money. The ... -
Comparison of NFS, Samba and AFS
(Master thesis, 2005)By making use of a distributed file system, users of physically distributed computers are allowed to share data and storage resources. This paper compares three distributed filesystems: the Sun NFS filesystem, Samba and ... -
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 ... -
Constructing Quantum Gates Using Optimization Techniques
(Master thesis, 2023)In this project, I construct a set of universal qubit gates for one qubit using a combination of dynamic magnetic fields and one static magnetic field, the model I use has one or two qubits and is symmetric when swapping ... -
Control of wastewater overflow in Oslo
(ACIT;2022, Master thesis, 2022)Purpose of this study was to obtain an accurate model of Oslo Sewer Network and to develop SISO and MIMO control strategies to minimize overflows. In Oslo, water quality in the fjord is a major concern. Extreme rain events ... -
Creating a pipeline for functional connectivity analysis in fNIRS motor control studies
(ACIT;2022, Master thesis, 2022)Functional near-infrared spectroscopy (fNIRS) has shown to be a useful imaging technique for observing the human cortex. Its capabilities of imaging the hemodynamic variations in the cerebral cortex during different ... -
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 ... -
Deep learning for automated polyp detection and localization in colonoscopy
(Master thesis, 2022)Gastrointestinal (GI) tract comprises organs from mouth to anus. Multiple diseases can occur in the GI tract. Among the different diseases in the digestive system, the most commonly found cancer in the gastrointestinal ... -
Deep learning for crop instance segmentation
(ACIT;2022, Master thesis, 2022)This thesis explores object detection with instance segmentation in relation to agriculture. For the purpose of discovering a detection model that could potentially boost robotic greenhouse harvesters with newer and ... -
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 ...