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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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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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Cranfield’s Advanced Vehicle Engineering Centre is inviting applications to study for a PhD in battery modelling and management for electric vehicles. Several projects are on offer, covering
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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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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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with other sensing approaches, such as from airborne, satellite platforms and other on-site data sources. 4. Develop edge-based machine-learning techniques to provide near-instantaneous emission