A combination of the Matlab image processing toolbox, transfer learning update of an existing convolutional neural network plus parameter tuning via Genetic Algorithm has yielded my first edition sementer which identifies organs, segments and builds a 3-d model from CT (or MRI) scans. Still a long way to go, but a good first step. Interestingly, all the training images have been data mined from open sources on the net.
Aircraft taxi time prediction: comparisons and insights Ravizza, Stefan and Chen, Jun and Atkin, Jason A. D. and Stewart, Paul and Burke, Edmund K. (2014) Aircraft taxi time prediction: comparisons and insights. Applied Soft Computing, 14 (c). pp. 397-406. ISSN 1568-4946 Official URL: http://dx.doi.org/10.1016/j.asoc.2013.10.004 Abstract The predicted growth in air transportation and the ambitious goal of the European Commission to have on-time performance of flights within 1 […]
I visited Sheffield Hallam University yesterday with Head of Department Prof Jill Stewart. Jill and I were discussing collaboration with @DerbyUniIISE on upcoming EU #Horizon2020 calls. It was also an opportunity to take an overview of the changes which will take place in the Department. Jill has been successful in securing £5 M from […]