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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT
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, presentation of research results at seminars and conferences. Project leader: Dr hab. Karolina Słowik, associate professor at NCU Project title: MAPS: 2D-MAterial-inspired Photonic architectureS Planned period
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