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research directions include: Develop a novel microenvironment classification algorithm by extending existing methods Model indoor air quality levels in London microenvironments by combining machine learning
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models optimised with evolutionary algorithms to address combinatorial optimisation in model design and the noisy nature of climate data. The Doctoral Researcher will receive on-the-job training in machine
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elasmobranchs distributed in the North-East Atlantic? how might that shift under climate change? how do deep-water elasmobranchs use or associate with benthic habitats? what role do they play in deep-sea food
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Methods Recent storms have exposed the vulnerability of power systems, creating pressures at local distribution and national transmission levels. In power systems, different parts work on very different
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memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital