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to: - Developing underwater communication systems using deep learning which are well-performing to nonlinear channels. - Establishing a deep learning architecture which is optimal for underwater acoustic
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at the University of Western Australia. This research focuses on understanding the impact of large motions of wave energy converters on hydrodynamic loads and developing nonlinear hydrodynamic models. The successful
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project aims to understand the properties of electromagnetically driven flows in thin deformable electrically conducting liquid films and layers by means of their nonlinear stability analysis and numerical
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