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General Topic: Deep Learning for Health Sensing (thesis)


Description

Deep learning has undoubtedly led to improvements in what is possible concerning system accuracy and performance in a range of signal analysis tasks. However, the benefits of contemporary deep learning solutions can provide in the analysis different health states based on audio, visual and/or biosignals are yet to be fully explored.

Task Application of deep learning to a range of different health detection tasks such as detection of different health states, abnormal heart beat detection & medical image analysis.
Utilises Python, Tensorflow/Keras
Requirements Prior machine learning knowledge related programming skills a plus
Languages English
Supervisor Dr. Nicholas Cummins (nicholas.cummins@informatik.uni-augsburg.de)