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This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the environment. Specifically, we’ll design novel data modelling and indexing
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knowledge A solid grounding in artificial intelligence and machine learning. Learn more about minimum entry requirements . Primary supervisor Geoff Webb Apply now Supervisor Connect Supervisor Connect allows
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. The latest advanced techniques in machine learning and computer vision for image content analysis will be applied to generate data for dynamic species distribution models. This data will in turn be used
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engineers to produce the highest quality software systems with the lowest operational costs. To achieve this, this project will invent an end-to-end explainable AI platform that leverages advanced machine
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biological networks as a form of relational and structural learning. Given a network dataset, we wish to infer a model of the distribution of the elements of this data-set, possibly as a mixture of several
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the mobility data and design optimisation and machine learning algorithms Validate the design on energy-transport simulation platforms Present and promote research findings in international conferences and
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develop individual-based models (also called agent-based models) to simulate insect-plant interactions. These are computer simulations where each individual animal is simulated in detail within a virtual
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This project will seek to further the research into and development of machine learning techniques that may be used to triage, classify, and otherwise process material of a distressing nature (such
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noting that techniques like Data Science and Machine Learning (ML) have been increasingly applied in analyzing the unprecedented amount of data collected by these platforms and systems, e.g., using