Evaluation of Physics-Informed Neural Networks in Modeling Dynamics of Lumped Parameter Systems
Physics-Informed Neural Networks (PINNs) have gained importance as a powerful method for solving differential equations by integrating neural networks with underlying physical laws. There’s a g...
Analysis of calculation methods for energetic measures in systems with electric energy storage
As part of the necessary energy transition, renewable energy supplies are becoming increasingly important. The emergence of photovoltaic systems also enables private individuals and smaller companies to o...
From Platform Specification to Product Simulation: A Novel Application of SysML v2 in Product Line Engineering
Product Line Engineering (PLE) methodologies have already established their significance within the domain of Model-Based Systems Engineering (MBSE) and are gradually being adopted in the ...
i7Fuzzer: An Intelligent Approach for Protocol Security Testing
This Master's thesis focuses on protocol security testing with the goal of the development and implementation of the i7Fuzzer. i7Fuzzer represents an approach to security testing, integrating machine learning techniques with traditiona...
