Space craft photographed floating in low earth orbit

Open Access research: Conquering challenges in, and from, space...

Strathclyde researchers are highly active in the areas of space systems, astronautics, space science, and space mechatronics. Researchers from Physics within the Centre for Space Science and Applications, the Aerospace Centre of Excellence in MAE, the Space Mechatronic Systems Technology (SMeSTech) Laboratory within DMEM, and researchers in EEE, all explore the engineering and scientific challenges within space, with topics such as spaceflight mechanics, robotics for in-orbit satellite services and refuelling, and satellite-based ocean colour remote sensing, among many others.

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Jump to: 2010 | 2009 | 2008 | 2007
Number of items: 5.

2010

O'Reilly, Brian and Soraghan, J.J. and McGrenary, Stewart and He, Shu (2010) Objective method of assessing and presenting the House-Brackmann and regional grades of facial palsy by production of a facogram. Otology and Neurotology, 31 (3). pp. 486-491. ISSN 1531-7129

2009

Soraghan, J.J. and O'Reilly, Brian and He, Shu and McGrenary, Stewart (2009) Automatic facial analysis for objective assessment of facial paralysis. In: 1st International Conferfence on Computer Science from Algorithms to Applications (CSAA-2009), 2009-01-08 - 2009-01-10.

He, Shu and Soraghan, J.J. and O'Reilly, Brian and Xing, D. (2009) Quantitative analysis of facial paralysis using local binary patterns in biomedical videos. IEEE Transactions on Biomedical Engineering, 56 (7). pp. 1864-1870. ISSN 0018-9294

2008

He, Shu and Soraghan, J.J. and O'Reilly, Brian F.; (2008) Objective grading of facial paralysis using local binary patterns in video processing. In: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008. IEEE, pp. 4805-4808. ISBN 978-1-4244-1814-5

2007

He, Shu and Soraghan, John J. and O'Reilly, Brian F. (2007) Biomedical image sequence analysis with application to automatic quantitative assessment of facial paralysis. EURASIP Journal on Image and Video Processing, 2007. 81282. ISSN 1687-5176

This list was generated on Thu Dec 2 20:57:16 2021 GMT.