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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 of data-driven modelling
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/interest in space systems would be a distinct advantage, as would familiarity with space telecommunication, AI and Machine Learning methods, and systems evaluation concerning cybersecurity. Experience in
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automating and human trust for autonomous machines is pivotal in the social transition. In response, the UK government has invested £33m into fundamental research for trustworthy autonomous systems (TAS
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diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial problems
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, satellite platforms and other on-site data sources. 4. Develop edge-based machine-learning techniques to provide near-instantaneous emission estimates. 5. Determine the suitability of the technology to
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to establish seamless bidirectional communications with operators and engineers considering the Human-Machine Interface, to achieve ‘human-in-the-loop’ and ‘human-on-the-loop’ actions. Cranfield is a unique