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level details are handled automatically by the robot. This project has a large number of potential applications in healthcare and rehabilitation. This research involves developing novel intelligent
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Artificial intelligence and machine learning methods for model discovery in the social sciences
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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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(e.g., Intelligent Speed Assistance). Applicable methods include quantitative surveys, qualitative interviews, video-based skills assessments and randomised controlled trials. Initial Reading Lazuras, L
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natural language processing create an opportunity to have artificial agents interact with group deliberation, and make it more effective. In this way, the strengths of human and artificial intelligence can
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round Details The future of machining lies in the fully autonomous machine tool. New technologies must be developed that predict, sense and action intelligent decisions autonomously. Digital twins are one
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accepted all year round Details This research will address many issues related with efficient, reliable and quick exchange of information and data over sensor networks for intelligent vehicular traffic
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accepted all year round Details Future intelligent systems will involve the deployment of large-scale sensor networks in which hundreds or thousands of microsensors, unexpensive, small and lightweight
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adapted based on the abilities and needs of patients. Moreover, automatic intelligent algorithms will be developed in to make the control intuitive, natural and adaptive. Such that the model can learn new
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quickly, in an automatic way huge amounts of video data. Different intelligent video surveillance systems have been developed in a wide range of applications. In most cases these are multiple camera systems