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and physical testing with the objective of providing a cell which is self-locating adds structural stiffness to the module and allows easy disassembly for repair or recycling. This project will
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system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
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will be grounded in rigorous mathematics coupled with a sound understanding of the underlying earthworm ecology. Bayesian inference methodologies will be developed to estimate where and when behavioural
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