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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: 14.

Hassan, Bilal and Jansen, Yann and Nouveau, Sebastien and Corney, Jonathan (2017) Effect of strain hardening on precipitation kinetics in ATI 718Plus. Materials Science Forum, 907. pp. 167-172. ISSN 1662-9760

Yakushina, Evgenia and Reshetov, Aleksey and Rosochowski, Andrzej (2014) Optimisation of diffusion bonding parameters of Ti alloys through the structure and surface conditions. Materials Science Forum, 783-786. pp. 2845-2850. ISSN 1662-9760

Wood, Paul and Qarni, Muhammad Jawad and Blackwell, Paul and Cerny, Vladimir and Brennand, Phillip and Wilkinson, Steven and Rosochowski, Andrzej (2013) Modelling the superplastic forming of a multi-sheet diffusion bonded titanium alloy demonstrator fan blade. Materials Science Forum, 735. pp. 215-223. ISSN 1662-9760

Rosochowski, Andrzej and Olejnik, J (2011) Incremental equal channel angular pressing for grain refinement. Materials Science Forum, 674. pp. 19-28. ISSN 1662-9760

Rosochowski, Andrzej and Olejnik, J (2010) Current practice and future opportunities for two-turn ECAP. Materials Science Forum, 667-669. pp. 121-126. ISSN 1662-9760

Engelberg, Dirk and Rahimi, Salaheddin and Marrow, James (2010) Towards understanding the development of grain boundary clusters in austenitic stainless steel. Materials Science Forum, 638-642. pp. 3206-3211. ISSN 1662-9760

Rosochowski, Andrzej and Olejnik, Lech and Richert, Maria (2008) Double-billet incremental ECAP. Materials Science Forum, 584-586. pp. 139-144. ISSN 1662-9760

Olejnik, L. and Rosochowski, A. and Richert, M. (2008) Incremental ECAP of plates. Materials Science Forum, 548-586. pp. 108-113. ISSN 1662-9760

Rosochowski, A. and Olejnik, L. and Richert, M. (2006) Channel configuration effects in 3D-ECAP. Materials Science Forum, 503-4. pp. 179-184. ISSN 1662-9760

Li, Y. and Baker, T.N. and Mitchell, P.S. (2005) Vanadium microalloyed steel for thin slab casting and direct rolling. Materials Science Forum, 500-501. pp. 237-244. ISSN 1662-9760

Cantelar, E. and Torchia, G.A. and Bermudez, V. and Jaque, D. and Sanz-Garcia, J.A. and Lifante, G. and Han, T.P.J. and Jaque, F. (2005) Dependence of the refractive indices in LiNbO3:Cr crystals doped with HfO2. Materials Science Forum, 480-481. pp. 423-428. ISSN 1662-9760

Gorman, Daniel G. and Lee, Chee K. and Reese, Jason M. and Horáček, Jaromir (2003) Free vibration analysis of a basic structural/gas/liquid interacting system. Materials Science Forum, 440-1. pp. 381-388. ISSN 1662-9760

Trendafilova, I. (2003) A state space based approach to health monitoring of vibrating structures. Materials Science Forum, 440-441. pp. 203-210. ISSN 1662-9760

Osman, M.M. and Engler, O. and Karhausen, K. and McLaren, Andrew (2002) The influence of homogenisation heat treatment on microstructure development in Al-Mg-Mn alloy AA5454. Materials Science Forum, 396-402 (1). pp. 351-356. ISSN 1662-9760

This list was generated on Wed Aug 5 03:36:46 2020 BST.