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Open Access research that is tackling the climate emergency...

Addressing the energy challenge confronting society is a strategic research theme for Strathclyde. Researchers from across the institution, spanning multiple disciplines, are therefore working together to understand ways of reducing the environmental impacts of energy use, improving energy efficiency, coping with declining fossil fuel supplies, managing an ageing energy infrastructure, and devising policy or economic levers to achieve higher penetration of renewable energy systems and technologies. Strathprints makes this scholarly research content available Open Access thereby ensuring results are available to everyone in order meet the global climate challenge.

Explore some of this Open Access research from the departments of Mechanical & Aerospace Engineering, Electronic & Electrical Engineering, Civil & Environmental Engineering, Naval Architecture, Ocean & Marine Engineering, Economics, Entrepreneurship and the School of Government & Public Policy.

Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2010 | 2008 | 2007 | 2006 | 2005
Number of items: 7.

2010

Newton, M. A. H. and Levine, J.; (2010) Implicit Learning of Macro-Actions for Planning. In: Proceedings of the 2010 conference on ECAI 2010. ACM, New York, pp. 323-328. ISBN 978-1-60750-605-8

2008

Murray, R. and Newton, M. (2008) Facilitating writing for publication. Physiotherapy, 94 (1). pp. 29-34. ISSN 0031-9406

Shahriar, A.Z.M. and Akbar, M.M. and Rahman, M.S. and Newton, M.A.H. (2008) A multiprocessor based heuristic for multi-dimensional multiple-choice knapsack problem. Journal of Supercomputing, 43 (3). pp. 257-280. ISSN 0920-8542

2007

Newton, M. A. H. and Levine, J.; (2007) Evolving macro-actions for planning. In: Proceedings of the Workshop on AI Planning and Learning held at ICAPS 07. UNSPECIFIED.

Newton, M.A. Hakim and Levine, John and Fox, Maria and Long, Derek; Boddy, Mark and Fox, Maria and Thiebaux, Sylvie, eds. (2007) Learning macro-actions for arbitrary planners and domains. In: Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling (ICAPS 2007). AAAI Press, California, USA, pp. 256-263. ISBN 1577353447

2006

Newton, M. A. H. and Levine, J. and Fox, M. and Long, D.; (2006) Learning macro-actions genetically from plans. In: Proceedings of the 25th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG 2006). UNSPECIFIED.

2005

Newton, M. A. H. and Levine, J. and Fox, M.; (2005) Genetically evolved macro-actions in AI planning problems. In: Proceedings of the 24th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG 2005). UNSPECIFIED, pp. 163-172.

This list was generated on Thu Feb 9 08:35:53 2023 GMT.