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Transforming automated inspection & non-destructive testing: world-leading Open Access research on robotics, sensors & ultrasonics

Strathprints makes available scholarly Open Access content by researchers within the Centre for Ultrasonic Engineering, based within Electronic & Electrical Engineering.

Research at CUE brings together next generation robotics with sensing technology to enable inspection of high value components, such as aerospace components, at the point of manufacture. Non-destructive testing techniques using ultrasound and other sensors can then be deployed to assess components for structural faults or damage and thereby ensure they are built correctly and more efficiently. Research at CUE is to be stimulated by the construction of a new £2.5 million state-of-the-art Robotically-Enabled Sensing (RES) hub within the Department of Electronic & Electrical Engineering (EEE).

Explore the Open Access research by EEE, or explore all of Strathclyde's Open Access research...

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Number of items: 3.

2018

Napier, Gary and Lee, Duncan and Robertson, Chris and Lawson, Andrew (2018) A Bayesian space-time model for clustering areal units based on their disease trends. Biostatistics. ISSN 1465-4644

2017

Lee, Duncan and Mukhopadhyay, Sabyasachi and Rushworth, Alastair and Sahu, Sujit K. (2017) A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health. Biostatistics, 18 (2). pp. 370-385. ISSN 1465-4644

2001

Young, D. and Ma, J. and Cherkerzian, S. and Froimowitz, M.P. and Ennulat, D.J. and Cohen, B.M. and Evans, M.L. and Lange, N. (2001) Automated identification of Fos expression. Biostatistics, 2 (3). pp. 351-364. ISSN 1465-4644

This list was generated on Sat Apr 4 10:13:47 2020 BST.