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approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat
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environment-specific algorithms and machine learning approaches. At the end of the project a technology demonstrator will be built using UAV- and USV- mounted radar sensors, and it will be tested in real world
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supplied by Infineum Ltd. • To incorporate Machine Learning (ML) algorithms into the calculation of the forces on the constituent particles, so as to significantly speed up the algorithm. • To incorporate
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fees and include a tax-free stipend (£19,237 pa. currently), for a period of 3.5 years. The successful candidate will be supervised by Prof. Kurt Debattista and Dr. Thomas Bashford-Rogers
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the form of a human-expert informed reward function. Second, we aim for the integration of low-energy machine learning algorithms, so that the resulting AI model can run on a variety of devices, including
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like the target voice, such as competing voices, which are particularly challenging for noise reduction algorithms currently employed in hearing aids. With multimodal hearing aids, which capture a
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Supervisor(s) Prof Nina Dethlefs, Loughborough University Dr Shirin Dora, Loughborough University Dr Simon Keizer, Toshiba Research Europe Ltd Enquiries email: n.dethlefs@lboro.ac.uk Funding for: UK
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised