Master's theses in Information and Communication Technology
Recent Submissions
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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 ... -
Implementation Of An Autonomous Navigation Stack For UAVs In Tightly Closed Industrial Spaces
(Master thesis, 2022)Automation of industrial infrastructure inspection and surveillance became an integrated part of the new industrial environments in the age of the fourth industrial revolution and digital transformation; thus, the need to ... -
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 marine mammals in the world. With an estimated population of 1,570 individuals remaining in the wild, the species have an urgent conservation ... -
Automation and Digitalization of Agreements in the Maritime Sector: A Blockchain Based Approach
(Master thesis, 2022)In the maritime sector there are many procedures that rely on exchange of documents among stakeholders and that require manual validation and processing. This is both an ineffective and error prone practice that can be ... -
Lidar Camera Imaging for Detection of UAVs
(Master thesis, 2022)Resent years, deep (CNN) convolutional neural network have made great strides with the development of advent of big data and image processing hardware. The method used in the experiment is YOLOv5. In the object detection ... -
Source Code Auto Completion with different approaches: Text Classification, N-Gram Models, Long Short-Term Memory
(Master thesis, 2022)Et gjennomgang av 2 ulike Source Code Auto Completion metoder med Text Classification og N-Gram Modeller. I tillegg et forsøk på implementasjon av Long Short-Term Memory for Auto Completion med Python. -
An agile approach to the transition of an infrastructural software environment
(Master thesis, 2022)This study has combined the technical aspects of an infrastructural software environment transition, with agile coordination research to manage it. Given the differences in software development talent and motivation of ... -
Enumeration of USB device descriptors to identify vulnerable installers
(Master thesis, 2022)A tweet on a newly found vulnerability in the Razer Synapse software in 2021 sparked a discussion on how Windows installs drivers. Additional vulnerabilities were quickly found in another application, but the findings ... -
Deep Learning for Crowd Anomaly Detection
(Master thesis, 2022)Today, public areas across the globe are monitored by an increasing amount of surveillance cameras. This widespread usage has presented an ever-growing volume of data that cannot realistically be examined in real-time. ... -
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 ... -
Hybrid Neural Networks with Attention-based Multiple Instance Learning for Improved Grain Identification and Grain 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. ... -
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 ...
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