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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: 2009 | 2007 | 2006 | 2004
Number of items: 7.

2009

He, J.H. and Fu, X.M. and Tang, Z. and Chen, Hsiao-Hwa (2009) End-to-end versus hop-by-hop state refresh in soft state signaling protocols. IEEE Communications Letters, 13 (4). pp. 268-270. ISSN 1089-7798

He, J.H. and Tang, Z.Y. and Chen, Hsiao-Hwa and Zhang, Q. (2009) An accurate and scalable analytical model for ieee 802.15.4 slotted CSMA/CA networks. IEEE Transactions on Wireless Communications, 8 (1). pp. 440-448. ISSN 1536-1276

2007

Tang, Z. and Glover, I.A. and Evans, A.N. and He, J. (2007) An energy-efficient adaptive DSC scheme for wireless sensor networks. Signal Processing, 87 (12). pp. 2896-2910. ISSN 0165-1684

Tang, Z. and Glover, I.A. and Evans, A. and He, J. (2007) Energy efficient transmission protocol for distributed source coding in sensor networks. In: UNSPECIFIED.

Tang, Z. and Glover, I.A. and Monro, D. and He, J. (2007) A distributed source coding scheme for source estimation in wireless sensor networks. IEICE Transactions on Communications, E90-B (1). pp. 152-155. ISSN 0916-8516

2006

Tang, Z. and Glover, I.A. and Evans, A. and Monro, D. and He, J. (2006) Adaptive distributed source coding for wireless sensor networks. In: Wireless Conference 2006, 2006-04-02 - 2006-04-05.

2004

Tang, Z. and Glover, I.A. and Monro, D. and He, J. (2004) Adaptive remote signal coding and recovery in wireless sensor networks. In: 12th IEEE International Conference on Networks (ICON 2004), 2004-11-16 - 2004-11-19.

This list was generated on Mon Aug 10 21:47:49 2020 BST.