Machine Learning

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Improving the structural integrity of challenging to manufacture LPBF components with toolpath correction
Defect monitoring in wire arc additive manufacturing using frequency domain analysis
Trajectory reconstruction by means of an event-camera-based visual odometry method and machine learned features
SHM implementation on a RPV airplane model based on machine learning for impact detection
Decision trees-based methods for the identification of damages in strongly damped plates for aerospace applications
Neural networks for the identification of degraded components of aircraft fuel quantity system
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Enhancing Materials Science through Computer Image Analysis and IQA Approaches
Utilizing machine learning techniques for predictive modelling of absorptivity in l-shaped metamaterials
Investigating the fluid-structure interaction of L-shaped pipe bends using machine learning