Masteruppsatser: Recent submissions
Now showing items 21-40 of 242
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Despeckling Echocardiograms Using Generative Adversarial Networks
(2023-10-23)Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information ... -
Ensuring the Security of PyPI Packages
(2023-10-23)Developers often use open-source code libraries in order to achieve desired functionalities without needing to re-implement existing code. Python developers are no exceptions here, and frequently use the Python Package ... -
Machine learning for molecular property prediction and drug safety
(2023-10-23)Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction ... -
SeqLTL and ωLTL
(2023-10-19)Linear Temporal Logic (LTL) is worthwhile for its applications in, among others, model checking, runtime verification and reactive synthesis. However, many useful properties are not expressible in LTL, or not in a natural ... -
Approximating Reasoning with Transformer Language Models
(2023-10-19)We conduct experiments with BART, a generative language-model architecture, to investigate its capabilities for approximating reasoning by learning from data. For this we use the SimpleLogic dataset, a dataset of satisfiability ... -
Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies
(2023-10-19)Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a ... -
Automatic Semantic Role Labelling (SRL) in Swedish
(2023-10-05)In this paper, using deep learning networks, the first end-to-end semantic role labelling model (SRL) has been developed for Swedish texts. This Swedish SRL model can, with a given Swedish sentence, perform trigger ... -
CNN-LSTM architecture for predicting hazardous driving situations
(2023-10-05)This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of ... -
Data Augmentation: Enhancing Named Entity Recognition Performance on Swedish Medical Texts
(2023-10-05)Named Entity Recognition (NER) refers to the task of locating relevant information within text sequences. Within the medical domain, it can benefit applications such as de-identifying patient records or extracting valuable ... -
Prototyping and Evaluation of a Lightweight Simulator Concept Combining Physical and Digital Assets
(2023-09-27)Serious injuries often occur in high-risk environments such as warfare, urban combat, and traffic accidents. The medical proficiency of soldiers and first responders in these situations is paramount. However, traditional ... -
Challenges in Specifying Safety-Critical Systems with AI-Components
(2023-09-26)Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the ... -
An Empirical Survey of Bandits in an Industrial Recommender System Setting
(2023-09-21)In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content ... -
Syntax-based Concept Alignment for Machine Translation
(2023-03-30)This thesis presents a syntax-based approach to Concept Alignment (CA), the task of finding semantical correspondences between parts of multilingual parallel texts, with a focus on Machine Translation (MT). Two variants ... -
Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures
(2023-03-22)Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic ... -
Data Specific Neural Architecture Search with Minimal Training
(2022-12-05)Conventional neural architecture search is computationally expensive. Training-free alternatives are not yet capable of designing architectures which are on par with hand-crafted architectures. This work conducts research ... -
Device Attestation for In-Vehicle Network
(2022-12-02)Embedded devices are crucial components of all modern vehicles. Today, every invehicle architecture consists of multiple small devices, each of which is responsible for a limited number of tasks, and together the devices ... -
Improving the Accuracy of FFT-based GPGPU Ocean Surface Simulations
(2022-12-01)In this paper, we explore how the current state of the art in real-time ocean simulations can be improved in terms of simulation accuracy, while preserving performance. Current methods, both in academia and in the ... -
Player Environmental Awareness: Rules of Thumb for Environmental Storytelling in Role-Playing Games
(2022-11-23)Environmental Storytelling is ”Staging player-space with environmental properties that can be interpreted as a meaningful whole, furthering the narrative of the game”. While many techniques present methods to guide players ... -
Ethics of Artificial Intelligence: Experimenting with Ethics and Autonomous Vehicle AI Principles in Gameplay
(2022-11-23)This project investigated whether ethical AI can change gameplay to be more immersive, engaging and unpredictable. The game was developed using Behaviour Trees, A* Pathfinding and Finite State Machines to model ethical AI ... -
A Prototype Quest Generator for Simulating Human-Authored Narrative
(2022-11-23)This thesis investigates several techniques of player-tailored procedural quest generation in terms of authenticity and immersion. This is done through the application of a shotgun hill climbing algorithm as well as surface ...