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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
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- Eindhoven University of Technology (TU/e); yesterday published
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- Naturalis; yesterday published
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Field
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first proof of concept related to anomaly detection at sea already exists); implement explainable AI and uncertainty-aware models to ensure transparency and trust in hyperspectral-based decision-making
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computing, current hardware limitations restrict scalability and prevent systematic exploration of large-scale, constrained optimization problem instances where genuine quantum advantage may arise. The focus
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— enabling safer, faster, and more cost-effective servicing of wind turbines at sea. We aim to develop a drone system capable of precise navigation and landing on wind turbines and ships. This involves
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delivery systems for maintenance materials — enabling safer, faster, and more cost-effective servicing of wind turbines at sea. We aim to develop a drone system capable of precise navigation and landing