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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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Group by: Publication Date | Item type | No Grouping
Jump to: 2012 | 2010 | 2009 | 2008
Number of items: 8.

2012

McCool, Paul and Chatlani, Navin and Petropoulakis, Lykourgos and Soraghan, John and Menon, Radhika and Lakany, Heba (2012) 1-D local binary patterns for onset detection of myoelectric signals. In: 20th European Signal Processing Conference, 2012-09-27 - 2012-10-01, Bukarest.

McCool, Paul and Chatlani, Navin and Petropoulakis, Lykourgos and Soraghan, John and Menon, Radhika and Lakany, Heba; (2012) 1-D local binary patterns for onset detection of myoelectric signals. In: 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO). IEEE, ROM, pp. 499-503. ISBN 978-1-4673-1068-0

Chatlani, Navin and Soraghan, J.J. (2012) EMD-based filtering (EMDF) of low-frequency noise for speech enhancement. IEEE Transactions on Audio, Speech and Language Processing, 20 (4). 1158 - 1166.

2010

Chatlani, Navin and Fischer, Eghart and Soraghan, John (2010) Spatial noise reduction in binaural hearing aids. In: European Signal Processing Conference (EUSIPCO-2010), 2010-08-23 - 2010-08-27.

Chatlani, N. and Soraghan, J.J. (2010) Local binary patterns for 1-D signal processing. In: 18th European Signal Processing Conference (EUSIPCO-2010), 2010-08-23 - 2010-08-27.

2009

Chatlani, N. and Soraghan, J.J. (2009) EMD-based noise estimation and tracking (ENET) with application to speech enhancement. In: 17th European Signal Processing Conference, 2009-08-24 - 2009-08-28.

Chatlani, N. and Soraghan, J. J.; (2009) Speech enhancement using adaptive empirical mode decomposition. In: Digital Signal Processing, 2009 16th International Conference on. IEEE, Santorini, Greece. ISBN 978-1-4244-3297-4

2008

Chatlani, Navin and Soraghan, J.J.; (2008) Adaptive empirical mode decomposition for signal enhancement with application to speech. In: 15th International Conference on Systems, Signals and Image Processing, 2008. IEEE, pp. 101-104. ISBN 978-80-227-2856-0

This list was generated on Fri Aug 14 21:22:49 2020 BST.