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Field
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unsuitable, while the utility and performance of others remains an open question. The aim of the PhD is to derive synchronisation techniques suitable for deployment into a maritime radar sensor network
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annotation platforms. The candidate will collect plankton images using an innovative benchtop flow-through imaging sensor, integrating them with existing datasets from established platforms. They will also
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using accessible programming languages and annotation platforms. The candidate will collect plankton images using an innovative benchtop flow-through imaging sensor, integrating them with existing
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authentication address digital risks, the physical interfaces of CPS (such as sensors and communication links) remain vulnerable and are often overlooked. A system cannot easily distinguish between genuine and
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are categorised as non-destructive testing techniques, but they can be costly considering the number of sensors required and the maintenance of the data acquisition system. Hence, the alternative of direct
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sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits
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decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport matches (e.g
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mortalities, economic loss, and human health risks through contaminated seafood. A low-cost, deployable sensor network based on mussels could provide real-time environmental intelligence, supporting regulatory
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impacts and suboptimal decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport
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investigate the optimal methods for combining multi-satellite InSAR with a network of Kurloo GNSS devices to provide robust 3D ground motion monitoring from space. The potential benefits may include