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Soraghan, John
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Date
2020
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Type
Thesis
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Quantitative assessment of vocal cord abduction and adduction to measure movement symmetry using flexible fibreoptic endoscopy
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Deep spiking neural networks with applications to human gesture recognition
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Signal processing and methods for advanced acoustic applications
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Active control of femtosatellite swarms for synthetic aperture rada
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Dense convolutional networks for efficient video analysis
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Less is more : the neuromorphic engineering advantage
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Low-voltage organic transistors with high transconductance
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Emotion recognition in video using deep learning method with subtract pre-processing
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Acoustic-based assistive technology tools for dysarthria managment
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Acoustic-based machine learning diagnostic tool for voice disorders
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