27 postdoc-exercise-physiology scholarships at Cranfield University in United Kingdom
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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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industries located in Kuwait. The framework will connect productivity, cost, equipment workability, and product quality. The utilization of near real time equipment inspections and its impact on production
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zone in a very complex manner and lead the modelling to an imperfect zone of assumptions. These complexities allow the researchers to use approximations for useful lifetime calculations. Based
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conditions. However, these changes are more often reported under quasi-static loads. The use of imaging is quite effective to determine the changes in elastic and thermal properties of materials; but still
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to bringing about the next revolution in Artificial Intelligence, and to do so with a focus on one of the most complex and interesting technological areas such as the aerospace field. Cranfield University works
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to implement use of multi-scale composites which can offer the significant advantages for the composites products used in their industries. The use of such multi-scale composites for aircraft components will be
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. Although there is a clear synergy between fatigue damage and corrosion, most fatigue prognosis models do not explicitly consider the role of the environment, which is usually reduced to obscured fitting