Graph Neural Networks for Complex Industrial Multi-Systems
This week, Raffael Theiler from IMOS Lab – EPFL had the opportunity to attend the 9th Annual Research and Development Conference on Industry 4.0, presenting our recent work: “Graph Neural Networks for Complex Industrial Multi-Systems.” We are excited to announce that in connection with the presented project, we are opening a new master’s thesis opportunity (link below). (…)
IMOS Lab – EPFL is growing!
We warmly welcome our new PhD student, Amaury Wei!Amaury worked for 3 years in the industry on 6DoF Object Pose Estimation after receiving his Master degree in Robotics from École polytechnique fédérale de Lausanne (EPFL). At IMOS Lab – EPFL, he will be researching Counterfactual Reasoning of Physics Dynamics.
Non-contact sensing for anomaly detection in wind turbine blades
Wishing you all a Happy New Year from the IMOS Lab – EPFL! ✨For this new year we are excited to share with you our new paper: “Non-contact sensing for anomaly detection in wind turbine blades: A focus-SVDD with complex-valued auto-encoder approach”In this work we propose a new manufacturing defects detection pipeline for monolithic materials (…)