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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Number of items: 6.

Article

Clemente, Carmine and Pallotta, Luca and Gaglione, Domenico and De Maio, Antonio and Soraghan, John J. (2017) Automatic recognition of military vehicles with Krawtchouk moments. IEEE Transactions on Aerospace and Electronic Systems, 53 (1). pp. 493-500. ISSN 0018-9251

De Maio, Antonio and Orlando, Danilo and Pallotta, Luca and Clemente, Carmine (2017) A multi-family GLRT-based algorithm for oil spill detection. IEEE Transactions on Geoscience and Remote Sensing, 55 (1). pp. 63-79. ISSN 0196-2892

Book Section

Pallotta, L. and Clemente, C. and De Maio, A. and Orlando, D.; (2016) A multi-family GLRT for detection in polarimetric SAR images. In: 2016 Sensor Signal Processing for Defence (SSPD). IEEE, GBR, pp. 1-5. ISBN 9781509003266

Gaglione, Domenico and Clemente, Carmine and Pallotta, Luca and Proudler, Ian and De Maio, Antonio and Soraghan, John J.; (2014) Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR. In: 2014 Sensor Signal Processing for Defence (SSPD). IEEE, GBR, pp. 26-30. ISBN 978-1-4799-5294-6

Carotenuto, V. and De Maio, A. and Clemente, C. and Soraghan, J. J.; (2014) Multi-polarization SAR change detection with invariant decision rules. In: 2014 IEEE Radar Conference. IEEE, USA, 0859 - 0862. ISBN 978-1-4799-2034-1

Pallotta, Luca and Clemente, Carmine and De Maio, Antonio and Soraghan, John J. and Farina, Alfonso; (2014) Pseudo-Zernike moments based radar micro-Doppler classification. In: 2014 IEEE Radar Conference. IEEE, USA, pp. 850-854. ISBN 978-1-4799-2034-1

This list was generated on Wed Aug 12 07:51:33 2020 BST.