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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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Jump to: 2008 | 2007 | 2004
Number of items: 3.

2008

Estrada, E. and Molina, Enrique and Nodarse, Delvin and Torres, Luis A. and Gonzalez, Humberto and Uriarte, Eugenio (2008) Quantitative structure-antibacterial activity relationship modeling using a combination of piecewise linear regression-discriminant analysis (I): Quantum chemical, topographic, and topological descriptors. International Journal of Quantum Chemistry, 108 (10). pp. 1856-1871. ISSN 0020-7608

2007

Chiodo, S. and Chuev, G. N. and Erofeeva, S. E. and Fedorov, M. V. and Russo, N. and Sicilia, E. (2007) Comparative study of electrostatic solvent response by RISM and PCM methods. International Journal of Quantum Chemistry, 107 (2). pp. 265-274. ISSN 0020-7608

2004

Chuev, G N and Fedorov, M V (2004) Density functional method based on wavelets for quantum classical systems. International Journal of Quantum Chemistry, 100 (4). pp. 539-547. ISSN 0020-7608

This list was generated on Wed Aug 5 16:57:08 2020 BST.