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 ...
In today’s digital era, information disseminates rapidly through online platforms, such as Twitter. Those platforms have fundamentally transformed how societies communicate, share, and perceive information. On the other hand, it also presents challenges, notably in the spread of false information or so-called fake news. The spread of fake news has been shown to sway public ...
This thesis focuses on integrating a Moodle chatbot into online courses using advanced Natural Language Processing techniques. The chatbot will provide educational and organizational support to students, and its performance will be evaluated through technical analysis and user feedback.
This thesis aims to develop a framework for analyzing chatbot conversations using process mining techniques. The framework will allow users to discover process models from chatbot event logs, compare them to the bot models, and enhance them based on the analysis results.
This thesis aims to explore Deep Reinforcement Learning based methods for strategy optimization in the Contract Bridge game, such as Multi-agent Reinforcement Learning, Value-based Learning, and Policy-based Learning, as well as Knowledge Representation and Reasoning based methods such as Multi-agent Epistemic Situation Calculus
Edge computing offers a framework for offloading the computational effort required by IoT applications.However, privacy issues and cost constraints for cloud infrastructures pose substantial difficulties to IoT service deployment. We wish to look at the possibilities of Peer-to-Peer networks and WebAssembly for IoT task offloading. As a result, a comparison of existing offloading tactics and ...
The aim of this thesis is to build a MLOps-based system to compare the variations in the motions executed while performing various sports-related movements. In essence, we are interested in comparing movements across multiple sensor-suit based recording sessions.
Politicians are highly public individuals. A lot of data on them is available online. Many try to use social media such as Twitter to express their views, support other members of their party or interest groups, and interact with the public. Some also use it to branch out and connect to other countries’ politicians or ...