Master thesis project - a hybrid Neural Network-Decision Tree system and dataset for classical music form recognition and analysis.

Autonomous Racing using a Hybrid Imitation-Reinforcement Learning Architecture

Defect Identification Challenge to find an efficient and exact process for error detection in the production line using Computer Vision, Deep Learning or Classical Machine Learning based techniques.

A Graasp App to facilitate collaborative ideation sessions.

Exploring hybride learning prototype

A hybrid-/remote-environment which enables remote flashing of microcontrollers via a low-cost server, so that students can test standard sensors/actuators kits along a self-paced learning-path.

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