Kategorie: ‘Theses’
Enhancing Knowledge Graph Embedding with Uncertainty Modeling using Fuzzy Logic
Enhancing Physical Activity and Social Interaction through Peer-assisted Exergames
This bachelor thesis aims to explore the development of a peer-assisted exergame using Unity as the framework and YOLOv8 for movement tracking. Exergames, which combine exercise and gaming elements, have gained popularity in recent years as a means to promote physical activity. However, they often lack a social component, which could enhance motivation and engagement. This research project seeks to address this gap by creating a peer-assisted exergame that encourages players to exercise together while having fun.
Image stream anomaly detection using feature sketch for industrial quality control
Is there data? Repository approaches to simplify the search for reusable research data
The discovery of scientific knowledge has always been a continuous and exponentially growing process. As data-driven research generates massive amounts of datasets, there has been a growing awareness among researchers and institutions regarding the importance of making research data openly accessible. Making the underlying data freely accessible contributes to reproducibility and transparency in research and fosters public faith in scientific discovery. In this light, the role of data repositories as a medium to share reusable data and thus to connect data providers with data consumers is becoming highly relevant. This thesis investigates approaches for data repositories to enhance collaborative, data-driven research, with a special focus on improving data discoverability.
Moving from Ad-hoc to a Structured Testing Approach in a Graph Analysis and Community Detection Framework
Algorithmic Approaches to Overlapping Community Detection – Multiplex Networks
Algorithmic Approaches to Overlapping Community Detection – Protein-Protein Interaction Networks
Integrating Semantics in Data Spaces by the automatic generation of mapping rules between data sources and ontologies
Consistency-checking German Pathology Reports using Large Language models
High data quality is becoming increasingly critical to today’s medical research. After identifying respective data quality rules, data quality checks can be implemented relatively easily on structured data. However, Pathology reports are predominantly narrative reports. Thus, these reports, comprising microscopy, histology and diagnosis provide very few structured elements. Hence, consistency checking of the sections of a report is mainly performed manually. Recent Large Language Models provide the potential to automate this process.