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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation
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action on high-carbon travel Find out more by downloading our full strategy. About the primary supervisor: Dr Dan Geddes is Research Focused Scientist in Chemical Engineering at The University of Sheffield
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. While many models exist that attempt to explain retinotopy in visual cortex, the equivalent problem in touch faces an additional challenge: our body is a three-dimensional object, whose representation
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robustness against various uncertainties originating from the network is our primary objective. This research will require and rely heavily on a control-theoretic and mathematical background. We require
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to a range of useful heteroaromatic building blocks (Ref 1) and that these offer useful platforms for drug discovery (Ref 2). The objectives of this project are to (1) devise a more convergent route to
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supported by simulation software such as STELLA or VENSIM which will be used in this project. The main objective of this project will be to model a to-be-chosen manufacturing process with relevant variables
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for batch reactors, and then develop a CFD methodology by which numerical shape optimisation can be performed with the objectives of minimising the required energy input and maximising the mixing between
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of male quality. Specific questions and approaches taken can be tailored to the particular interests of the student, but objectives could include: (1) Applying cutting-edge genomic methods to study the
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the large trillion-node simulations and in-depth fundamental physics studies. The specific objectives are: Develop a computer model for a multi-sub-channel domain using an advanced CFD approach, and use it to
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Wireless Sensor Networks (WSNs). The problem of localisation (finding the coordinates) of a moving object has been intensively studied during the last decades. This problem arises in many applications: e