Догађаји ИТ, Е-трговина Delft, Краљевина Холандија 2023

The use of low-thrust propulsion in interplanetary missions can increase payload while posing a complex planning challenge. This thesis explores the impact of different feature space compositions and target choices on the performance of artificial neural networks. The dataset consists of Earth-Mars transfer trajectories generated through indirect optimization. It highlights the importance of properly scaled data and examines the influence of other choices on performance, particularly the choice of target.

Teaching and Learning Services at TU Delft has introduced Vevox as the new polling tool solution for the campus. Vevox was chosen after a selection process and is accessible to all staff and participants on different devices. It offers various features, including the ability to create polls, quizzes, surveys, and QA. The use of Vevox also adheres to strict privacy measures to protect data according to organizational standards.