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Items where Subject is "U Military Science"

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Number of items at this level: 15.


Belloni, C., Aouf, N. ORCID: 0000-0001-9291-4077, Merlet, T. and Le Caillec, J. (2017). SAR image segmentation with GMMs. In: International Conference on Radar Systems (Radar 2017). . London, UK: IET. ISBN 978-1-78561-672-3

Ben-Gad, M. ORCID: 0000-0001-8641-4199, Ben-Haim, Y. and Peled, D. (2019). Allocating Security Expenditures under Knightian Uncertainty: an Info-Gap Approach. Defence and Peace Economics,


Carter, A. and Tobias Mortlock, J. M. (2019). Mindfulness in the military: Improving mental fitness in the UK Armed Forces using next generation team mindfulness training. Brighton, UK: Institute of Employment Studies.


Davies, T. R. (2008). Transnational Campaigning for Disarmament: Lessons from between the two World Wars. Paper presented at the Disarmament and Globalization: Old and New Wisdoms, 7 Jan 2008, CISD, SOAS, London, UK.


Foran, H. M., Garber, B. G., Zamorski, M. A., Wray, M., Mulligan, K., Greenberg, N., Castro, C. A. and Adler, A. B. (2013). Postdeployment military mental health training: Cross-national evaluations. Psychological Services, 10(2), pp. 152-160. doi: 10.1037/a0032609


Grant, P. (2014). Learning to Manage the Army – The Army Administration Course at the London School of Economics 1907-1914. In: LoCicero, M., Mahoney, R. and Mitchell, S. (Eds.), A Military Transformed? Adaptation and Innovation in the British Military, 1792-1945. (pp. 99-111). Helion. ISBN 978-1909384460


Junoh, S. and Aouf, N. ORCID: 0000-0001-9291-4077 (2017). Person Classification Leveraging Convolutional Neural Network for Obstacle Avoidance via Unmanned Aerial Vehicles. Paper presented at the 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS), 3-5 Oct 2017, Linkoping, Sweden.


Kechagias-Stamatis, O. and Aouf, N. ORCID: 0000-0001-9291-4077 (2017). Evaluating 3D local descriptors for future LIDAR missiles with automatic target recognition capabilities. The Imaging Science Journal, 65(7), pp. 428-437. doi: 10.1080/13682199.2017.1361665

Kechagias-Stamatis, O., Aouf, N. ORCID: 0000-0001-9291-4077, Nam, D. and Belloni, C. (2017). Automatic X-ray Image Segmentation and Clustering for Threat Detection. Paper presented at the Target and Background Signatures III, 11-14 Sep 2017, Warsaw, Poland.

Kechagias-Stamatis, O., Aouf, N. ORCID: 0000-0001-9291-4077 and Richardson, M. (2016). 3D Automatic Target Recognition for Future LIDAR Missiles. IEEE Transactions on Aerospace and Electronic Systems, 52(6), pp. 2662-2675. doi: 10.1109/TAES.2016.150300


Mulligan, K., Jones, N., Woodhead, C., Davies, M., Wessely, S. and Greenberg, N. (2010). Mental health of UK military personnel while on deployment in Iraq. The British Journal of Psychiatry, 197(5), pp. 405-410. doi: 10.1192/bjp.bp.110.077263


Nemra, A. and Aouf, N. ORCID: 0000-0001-9291-4077 (2010). Robust INS/GPS Sensor Fusion for UAV Localization Using SDRE Nonlinear Filtering. IEEE Sensors Journal, 10(4), pp. 789-798. doi: 10.1109/JSEN.2009.2034730


Ruiz, J. A. D. and Aouf, N. ORCID: 0000-0001-9291-4077 (2017). Real-Time Setup with PD and Backstepping Control for a Pelican Quadrotor. In: Gusikhin, O. and Madani, K. (Eds.), Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics. (pp. 676-681). SciTePress. ISBN 978-989-758-263-9

Ruiz, J. A. D. and Aouf, N. (2017). Unscented Kalman Filter for Vision based Target Localisation with a Quadrotor. In: Gusikhin, O. and Madani, K. (Eds.), Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics. . SciTePress. ISBN 978-989-758-264-6


Tasiu Abubakar, A. ORCID: 0000-0003-2746-6380 (2019). Hostile gatekeeping: The strategy of engaging with journalists in extremism reporting. Defence Strategic Communications, 5(Autumn), pp. 51-87. doi: 10.30966/2018.RIGA.5

This list was generated on Tue Jun 18 04:20:50 2019 UTC.