Master's theses in Information and Communication Technology
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Vulnerability assessment for cloudbased e-commerce integration in use case of integrating multi-vendor payment services
(Master thesis, 2023)The goal of this project is to conduct a vulnerability assessment, by investigating different approaches, to identify possible security risks in cloud-based e-commerce application integration, particularly for the case of ... -
Vulnerability assessment for cloud-based e-commerce integration in use case of integrating multi-vendor payment services
(Master thesis, 2023)The goal of this project is to conduct a vulnerability assessment, by investigating different approaches, to identify possible security risks in cloud-based e-commerce application integration, particularly for the case of ... -
Target detection and localization using thermal camera, mmWave radar and deep learning.
(Master thesis, 2023)Reliable detection, and localization of tiny unmanned aerial vehicles (UAVs), birds, and other aerial vehicles with small cross-sections is an ongoing challenge. The detection task becomes even more challenging in harsh ... -
Target detection and localization using thermal camera, mmWave radar and deep learning
(Master thesis, 2023)Reliable detection, and localization of tiny unmanned aerial vehicles (UAVs), birds, and other aerial vehicles with small cross-sections is an ongoing challenge. The detection task becomes even more challenging in harsh ... -
Tsetlin Machine for Fake News Detection: Enhancing Accuracy and Reliability
(Master thesis, 2023)This thesis aims to improve the accuracy of fake news detection by using Tsetlin Machines (TM). TMs are well suited for noisy and complex relations within the provided data, which on initial analysis, overlaps nicely with ... -
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 ... -
Transformer Reinforcement Learning for Procedural Level Generation
(Master thesis, 2023)This paper examines how recent advances in sequence modeling translate for machine learning assisted procedural level generation. We explore the use of Transformer based models like DistilGPT-2 to generate platformer levels, ... -
Transformer Reinforcement Learning for Procedural Level Generation
(Master thesis, 2023)This paper examines how recent advances in sequence modeling translate for machine learning assisted procedural level generation. We explore the use of Transformer based models like DistilGPT-2 to generate platformer levels, ... -
Advancing IoT Security with Tsetlin Machines: A Resource-Efficient Anomaly Detection Approach
(Master thesis, 2023)The number of IoT devices are rapidly increasing, and the nature of the devices leave them vulnerable to attacks. As of today there are no general security solutions that meet the requirements of running with limited ... -
Advancing IoT Security with Tsetlin Machines: A Resource-Efficient Anomaly Detection Approach
(Master thesis, 2023)The number of IoT devices are rapidly increasing, and the nature of the devices leave them vulnerable to attacks. As of today there are no general security solutions that meet the requirements of running with limited ... -
Utilizing Reinforcement Learning and Computer Vision in a Pick-And-Place Operation for Sorting Objects in Motion
(Master thesis, 2023)This master's thesis studies the implementation of advanced machine learning (ML) techniques in industrial automation systems, focusing on applying machine learning to enable and evolve autonomous sorting capabilities in ... -
Mastering DeepRTS with Transformers
(Master thesis, 2023)The Transformer deep learning model has recently proven its superiority in tasks like natural language processing and computer vision, as tools like ChatGPT and DALL-E have become widespread and helps humans complete tasks ... -
Transform Diabetes - Harnessing Transformer-Based Machine Learning and Layered Ensemble with Enhanced Training for Improved Glucose Prediction.
(Master thesis, 2023)Type 1 diabetes is a common chronic disease characterized by the body’s inability to regulate the blood glucose level, leading to severe health consequences if not handled manually. Accurate blood glucose level predictions ... -
Mastering DeepRTS with Transformers
(Master thesis, 2023)The Transformer deep learning model has recently proven its superiority in tasks like natural language processing and computer vision, as tools like ChatGPT and DALL-E have become widespread and helps humans complete tasks ... -
Transform Diabetes - Harnessing Transformer-Based Machine Learning and Layered Ensemble with Enhanced Training for Improved Glucose Prediction.
(Master thesis, 2023)Type 1 diabetes is a common chronic disease characterized by the body’s inability to regulate the blood glucose level, leading to severe health consequences if not handled manually. Accurate blood glucose level predictions ... -
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. ...
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