Items where Subject is "Science > Physics"
Number of items at this level: 20.
Herbert, R. J.H., Willis, J., Jones, E., Ross, K., Huebner, R., Humphreys, J., Jensen, A. and Baugh, J., 2012. Invasion in tidal zones on complex coastlines: modelling larvae of the non-native Manila clam, Ruditapes philippinarum, in the UK. Journal of Biogeography, 39 (3), pp. 585-599.
Callaway, A. and Cobb, J. E., 2012. Linear acceleration measurement utilising inter-instrument synchronisation: A comparison between accelerometers and motion based tracking approaches. Measurement in Physical Education and Exercise Science. (In Press)
Budka, M. and Gabrys, B., 2011. Electrostatic field framework for supervised and semi–supervised learning from incomplete data. Natural Computing, 10 (2), pp. 921-945.
Mecheraoui, C., Cobb, J. E. and Swain, I. D., 2011. Wireless network of local stimulators and sensors for people with neurological disabilities. In: 8th European Conference on Wireless Sensor Networks (EWSN 2011), February 23-25, Bonn, Germany. (Unpublished)
Mecheraoui, C., Cobb, J. E. and Swain, I. D., 2010. Sensors for triggering practical Functional Electrical Stimulation walking systems. In: 1st Annual Conference of the International Functional Electrical Stimulation Society (UK and Ireland Chapter), 15-16 April 2010, University of Salford, England. (Unpublished)
Milner, E., 2010. Exploring the use of space using relativity. In: Wilson, A. T., ed. UK Chapter of Computer Applications and Quantitative Methods in Archaeology. Proceedings of the CAA UK Chapter Meeting University of Liverpool, 6th and 7th February 2009. Oxford, England: Archaeopress, pp. 53-66.
Thomas, B., 2009. Friction and Wear Performance of Lifeboat Launch Slipways. PhD Thesis (PhD). Bournemouth University.
Chang, J. and Zhang, J. J., 2009. Modelling Deformations in Car Crash animation. The Visual Computer.
Stephenson, I., 2009. Simulating diffraction limiting in a pinhole camera. Imaging Science Journal, 57 (3), pp. 162-166.
Budka, M. and Gabrys, B., 2009. Electrostatic Field Classifier for Deficient Data. In: Kurzynski, M. and Wozniak, M., eds. Computer Recognition Systems 3. Heidelberg: Springer, pp. 311-318.
Chang, J., Zhang, J. J. and Rehan, Z., 2009. Fast Vehicle Crash Modelling for Games. In: IEEE First International Conference Games and Virtual Worlds for Serious Applications, 23-24 March 2009, Technocentre Coventry University, UK., pp. 141-147.
Ruta, D. and Gabrys, B., 2009. A Framework for Machine Learning Based on Dynamic Physical Fields. Natural Computing, 8 (2), pp. 219-237.
Callaway, A., Cobb, J. E. and Jones, I., 2009. A Comparison of Video and Accelerometer Based Approaches Applied to Performance Monitoring in Swimming. International Journal of Sports Science and Coaching, 4 (1), pp. 139-153.
Ruta, D. and Gabrys, B., 2007. Reducing Spatial Data Complexity for Classification Models. In: Maroulis, G. and Simos, T.E., eds. Computational Methods in Science and Engineering: Theory and Computation: Old Problems and New Challenges (AIP Conference Proceedings). Melville, N.Y.: American Institute of Physics, pp. 603-613.
Bharara, M., 2007. Liquid crystal thermography in neuropathic assessment of the diabetic foot. PhD Thesis (PhD). Bournemouth University.
Petford, N., 2004. Supertext: the textbook that changed my life. Times Higher Education Supplement.
Ruta, D. and Gabrys, B., 2003. Physical field models for pattern classification. Soft Computing, 8 (2), pp. 126-141.
Chang, J., Yang, Y.M., Peng, X. and Huang, S.L., 2001. Research on a magnetorheological fluid rheological property testing device. Chinese Journal of. Scientific Instrument, 22 (4), 354-357, 368.
Chartrand, J. A.H., 1992. The Osteology and Trace Element Analysis of DdKi-2, Fort Francis, Ontario. Other. Kenora: Ontario Ministry of Culture and Communication.
Barrett, M.A., Borkowska, Z., Humphreys, M. W and Parsons, R., 1975. Ellipsometry of thin-films of copper phthalocyanine. Thin Solid Films, 28 (2), pp. 289-302.