Items where Kingston Author is "Everington, Michael"
Group by: Item Type | No Grouping Number of items: 12. Vatolik, Ivan, Hunter, Gordon, Swann, Nicola, Everington, Michael, Lanets, O., Liaskova, S., Mbachu, C. and Augousti, Andy (2024) Use of deep learning techniques to classify acoustic emission data from knee joints. In: Sensors and their applications 2024: 20th Sensors & their Applications Conference co-located with 5th International Conference of Fibre Optic and Photonic Sensors for Industrial and Safety Applications (OFSIS); 11-14 August 2024, Limerick, Ireland. (Unpublished) Vatolik, Ivan, Mbachu, Chinedu, Hunter, Gordon, Swann, Nicola, Everington, Michael and Augousti, Andy (2023) Deep learning successfully classifies acoustic emission data from knee joints. In: XXIX Congress of International/Japanese Society of Biomechanics (ISB/JSB2023); 30 Jul - 03 Aug 2023, Fukuoka, Japan. (Unpublished) Vatolik, I., Everington, M., Hunter, G., Swann, N. and Augousti, A.T. (2022) Development of a multi-modal sensor network to detect and monitor knee joint condition. Measurement: Sensors, 24, p. 100483. ISSN (print) 2665-9174 Vatolik, Ivan, Swann, Nicola, Hunter, Gordon, Everington, Michael and Augousti, Andreas (2020) Correlating information from acoustic and biomechanical signals to detect and monitor injuries to human knee joints. In: UK Acoustics Network Bio-Medical Acoustics Special Interest Group Workshop; 26 Jun 2020, Online. (Unpublished) Vatolik, I., Hunter, G., Everington, M. and Augousti, A.T. (2016) Monitoring and analysis of acoustic emissions from knee joints. Proceedings of the Institute of Acoustics 2016, 38, pp. 133-138. ISSN (print) 1478-6095 Vatolik, Ivan, Hunter, Gordon, Everington, Michael and Augousti, Andy T. (2016) A Multi-modal Sensor Network to Detect and Monitor Conditions Consequential to Knee Injuries. In: 12th International Conference on Intelligent Environments (IE); 14-16 Sept 2016, London, United Kingdom. ISSN (online) 2472-7571 Lacchini, A.H., Everington, M.L., Augousti, A.T. and Walker, A.J. (2007) Use of C. Elegans as a model organism for sensing the effects of ELF-EMFs. Journal of Physics: Conference Series, 76, 012027. ISSN (online) 1742-6596 Everington, M. L. (2005) The development of a real-time fibre-optic shaft monitor using cross-correlation techniques. (PhD thesis), Kingston University, . Everington, M. and Augousti, A.T. (1996) Non-contact measurement of rotating shaft characteristics using optical fibre techniques. Optical Fiber Technology, 2(4), pp. 394-399. ISSN (print) 1068-5200 Everington, M. and Augousti, A.T. (1996) Remote monitoring of angular velocity and torque using an optical fibre system. In: 4th Biennial Divisional Conference of the Applied-Optics-Division of the UK Institute-of-Physics - Applied Optics and Optoelectronics 1996; 16 Sept 1996, Reading, England. (Applied Optics and Optoelectronics 1996) ISBN 9780750303828 Everington, M. and Augousti, A.T. (1995) A dual-channel fibre optic system for monitoring rotating shafts. In: 7th Conference on Sensors and Their Applications; 10 Sept 1995, Dublin, Ireland. (Sensors and Their Applications VII) ISBN 9780750303316 Everington, M and Augousti, A.T (1993) A simple fibre optic shaft monitor for measurement of rotational frequency. In: 6th Conference on Sensors and their Applications; 12 Sept 1993, Manchester, England. (Sensors VI: Technology, Systems and Applications) ISBN 9780750303163 |