Electrodynamic sensors and neural networks for electrical charge tomography
This research into the feasibility of imaging particulate processes using electrical charge tomography investigates four techniques: the multi-sensing of electrical charge in a cross-section, a neural network based classifier for flow regime identification, cross correlation based velocity determina...
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Sheffield Hallam University
1993
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334572 |