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Department of Mechanical Engineering and the AI research group at the Vrije Universiteit Brussel (VUB) are looking for a PhD candidate to contribute to research on the optimization of a hybrid, laser-based
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, construction progress inspection, and capital facility maintenance operations. The virtual education and training environment incorporate Digital Twin Construction project data, multimodal and augmented tools
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communications hinders traditional deep packet inspection for malware detection. This research aims to develop lightweight, behaviour-based anomaly detection systems. These systems will identify malicious activity
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caused by underwater obstacles, limited bandwidth and strong impulsive noise. For example, underwater vehicles are essential to inspect cracks on underwater pipes for oil and gas industries. Underwater
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optimal operating conditions and followed by surface analysis techniques (e.g. Scanning electron microscope, X-ray diffraction for residual stress measurements, Electron Back-Scattered Diffraction and