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), through the development and application of a digitalized Health Management Architecture – Platform for aircraft (machine learning based algorithms could be employed to process the data provided by
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. As industries increasingly rely on machines and automation to improve efficiency and reduce costs, ensuring the reliable operation of components like electric actuators becomes vital. This is
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new experimental capability will be developed to generate bespoke distortion patterns that could be encountered in complex aero-engine intakes. By deploying state-of-the-art AI and machine learning
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This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its
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greenhouse gas emission levels and align these to sector standards. About You This role requires knowledge of Data Science, software development, along with AI/Machine Learning technology. Knowledge of event
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to an industry funded project, led by a major company involved with earth moving in open cast mines. You will be responsible for the development of a real-time Bayesian machine-learning-based prognostic method
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be concerned with studying the effects of EA on common military ground and air platforms and investigate methods for increasing attack and protection. The project will allow the student to acquire
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automated security systems that can detect and respond to dangers in real-time. With this opportunity, you will explore into cutting-edge technologies such as artificial intelligence, machine learning, and
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connectivity and flight dynamics, incorporating Artificial Intelligence (AI) and Machine Learning (ML) to develop innovative prediction mechanisms. The primary goal of this project is to design advanced
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the infiltration of pollutants into car cabins (and thus reduce the exposure of the occupants) or to identify areas where they can accumulate (areas to be avoided by pedestrians and cyclists) depends on these issues