BedBasedEcho

The core challenge of the BedBasedEcho BEP project is to create an algorithm to find the heart, and apply it on a robotic echocardiography solution. The team has found multiple complex solutions that are related to this problem, and has extracted useful information from these solutions to apply to this problem. However, some of these complex...

Automated Detection of Code Smells for Machine Learning Applications

The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create business value. However, there is a lack of guidelines for code quality in machine learning applications. Although machine learning code is usually integrated as a small...

Surrogate modelling for multi-carrier distribution networks

The thesis mainly concentrates on exploring the suitability and applicability of surrogate models for a multi-carrier energy system (MCES). The climate crisis is being paid more attention owing to its notable effects on the environment globally. For the sake of facing the challenge, the European Union (EU) has developed different strategies. One...