Applying artificial Intelligence to the Industrial Internet-of-Things

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Applying artificial Intelligence to the Industrial Internet-of-Things

Director of Study: Dr. A Shenfield
Supervisor(s):  Dr. H Zhang
Additional information: Open to all self-funded students

Summary 

The Industrial Internet-of-Things is an integral part of Industry 4.0, joining large numbers of cyber-physical systems to create “smart factories” that enable efficient manufacturing for a range of industries – including the food and drink sectors. However, a key challenge within the Industry 4.0 landscape is the analysis of the huge amounts of data generated by these connected cyber-physical systems. This research proposes the use of Artificial Intelligence techniques (including machine learning, intelligent signal processing, and advanced computer vision techniques) in analysing these large scale data sets to enable both remote condition monitoring of machinery and advanced process optimisation.

For further information, please contact Dr. A Shenfield


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