Master's theses in Information and Communication Technology: Nye registreringer
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Analyzing the performance of transformers for streamflow prediction
(Master thesis, 2023)Within the field of hydrology, there is a vital need to be able to predict streamflow values from hydrological basins. This has traditionally been done through physics and mathematics-based models, where measured data are ... -
Centralized vs. Decentralized Investigating the advantages and disadvantages of single vendor vs. multivendor
(Master thesis, 2023)The purpose of this research was to see the differences between centralized and decentralized in various fields, such as IoT, and cloud computing systems, to decide if additional security is needed. The study showed that ... -
Centralized vs. Decentralized Investigating the advantages and disadvantages of single vendor vs. multivendor
(Master thesis, 2023)The purpose of this research was to see the differences between centralized and decentralized in various fields, such as IoT, and cloud computing systems, to decide if additional security is needed. The study showed that ... -
The Potential and Limitations of the Tsetlin Machine in Model-Free Reinforcement Learning
(Master thesis, 2023)This paper aims to investigate the potential of model-free reinforcement learning using the Tsetlin Machine by evaluating its performance in widely recognized benchmark environments for reinforcement learning: Cartpole and ... -
Hybrid Neural Networks with Attention-based Multiple Instance Learning for Improved Grain and Yield Predictions
(Master thesis, 2022)Agriculture is a critical part of the world’s food production, being a vital aspect of all societies. Procedures need to be adjusted to their specific environment because of their climate and field condition disparity. ... -
DET: Data Enhancement Technique for Aerial Images
(Master thesis, 2022)Deep learning and computer vision are two thriving research areas within machine learning. In recent years, as the available computing power has grown, it has led to the possibility of combining the approaches, achieving ... -
Human-Centered Design (HCD) of Personal Decision Support System (PDSS) for understandable individual health management, using Natural Language Processing (NLP) and machine learning
(Master thesis, 2022)This project addressed the challenges of patients to comprehend typical information (e.g. in the form of ''doctor letters'' or ''patient journals'') about their health condition, and to get understandable and personalized ... -
A Machine Learning and Point Cloud Processing based Approach for Object Detection and Pose Estimation: Design, Implementation, and Validation
(Master thesis, 2022)This thesis presents an automatic forklift approach for lifting and handling pallets. The project more specifically develops a solution for autonomous object detection and pose estimation by Machine Learning (ML), point ... -
Lost in Draft: Investigating Game Balance in Multiplayer Online Battle Arena Drafting
(Master thesis, 2021)This thesis explores modern machine learning solutions to turn-basedstrategy games. In particular, we explore the possibilities of equalizing the playing field for both teams in the draft phase of Defense of the Ancients ... -
Background noise classification and denoising of audio signals utilizing empirical wavelet transform and deep learning
(Master thesis, 2021)The importance of sound and speech cannot in human life cannot be overstated. Ambient sound informs us about our surroundings and warn us of potential dangers, such as a car approaching from behind. One of the most common ... -
Feasibility analysis for forecasting inflow of unplanned work using machine learning techniques
(Master thesis, 2021) -
Human-Centered Design (HCD) of Personal Decision Support System (PDSS) for understandable individual health management, using Natural Language Processing (NLP) and machine learning
(Master thesis, 2022)This project addressed the challenges of patients to comprehend typical information (e.g. in the form of ''doctor letters'' or ''patient journals'') about their health condition, and to get understandable and personalized ... -
Human-Centered Design (HCD) of Personal Decision Support System (PDSS) for understandable individual health management, using Natural Language Processing (NLP) and machine learning
(Master thesis, 2022)This project addressed the challenges of patients to comprehend typical information (e.g. in the form of ''doctor letters'' or ''patient journals'') about their health condition, and to get understandable and personalized ... -
A Machine Learning and Point Cloud Processing based Approach for Object Detection and Pose Estimation: Design, Implementation, and Validation
(Master thesis, 2022)This thesis presents an automatic forklift approach for lifting and handling pallets. The project more specifically develops a solution for autonomous object detection and pose es- timation by Machine Learning (ML), point ... -
Combating class imbalances in image classification - a deep neural network-based method for skin disease classification
(Master thesis, 2022)Skin cancer is the most common type of cancer globally, and the current estimates say that as many as one in five Americans will develop one form of skin cancer in their lifetime. While there are many types of skin cancer, ... -
Smooth and Consistent Video Anonymization Using Triangular Inpainting and Optical Flow
(Master thesis, 2022)Surveillance cameras have been deployed extensively in big cities, such as London and Shanghai. To protect people’s privacy and avoid fully exposed, it is necessary to remove sensitive facial information in the surveillance ... -
Exploration and Performance Analysis of Clustering Algorithms for Time-Series Data with Dimension Reduction
(Master thesis, 2022)Clustering is an attempt to form groups of similar objects, and it is a powerful tool for discovering valuable underlying patterns in the data. When clustering on high dimensional data, the algorithms can suffer from the ... -
Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning
(Master thesis, 2022)The Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered ma- rine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ... -
Detecting and Classifying Hawaiian Monk Seal Vocalizations using Deep Learning
(Master thesis, 2022)he Hawaiian monk seal (Neomonachus schauinslandi) is one of the most endangered marine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ... -
Open-Source based 5G Mobile Communication Systems: Design, Implementation, and Experiments
(Master thesis, 2022)Fifth Generation (5G) mobile communication system is currently being deployed globally. Different from earlier generation mobile systems, this generation of mobile communication systems offers a variety of novel features ...