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an increasingly complex development environment. Areas to consider that impact the modelling are: Framework Language Process How wide / how deep i.e. what do we model and why? How much provides a good answer i.e
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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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decisions related to turbine inspection and maintenance with a human expert [4, 5]. This can be based on a deep reinforcement learning framework, which interactively optimises key performance indicators in
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project is to harness the latest developments in high-performance computing and deep learning (DL) technologies to address some of the key technical challenges, and finally demonstrate a DL-enabled system