-
track and classify them. This also helps to observe different angular realisations of the multipath and clutter and to measure multiple angular-dependent target Doppler contributions, decreasing
-
. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
Thermography. This raw dataset is needed to be processed and annotated to train supervised and unsupervised AI models. The research will aim to develop deep learning algorithms for damage classification
Enter an email to receive alerts for algorithm "DIFFER" positions