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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: 11.

Khan, L. and Saeed, T. and Lo, K.L. (2008) Robust damping control system design for tcsc using particle swarm optimization. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 27 (3). pp. 593-612. ISSN 0332-1649

Khan, Laiq and Lo, K.L. and Jovanovic, S. (2006) Hybrid GA neuro-fuzzy damping control system for UPFC. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 25 (4). pp. 841-861. ISSN 0332-1649

Sadegh, M. and Lo, K.L. (2005) Decentralised coordination of facts devices for power system stability enhancement using intelligent programming. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 24 (1). pp. 179-201. ISSN 0332-1649

Galloway, Stuart and Dahal, Keshav and Burt, Graeme and McDonald, James (2004) Minimizing price risk exposure for deregulated electricity market participants. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 23 (1). pp. 79-91. ISSN 0332-1649

Lo, K.L. and Abidin, H. (2004) The fuzzy decision tree application to a power system problem. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 23 (2). pp. 436-451. ISSN 0332-1649

Lo, K.L. and Hashim, A.H. (2004) Risk analysis approach for generation adequacy assessment in a deregulated environment. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 23 (2). pp. 467-483. ISSN 0332-1649

Yuen, Y. and Lo, K.L. (2003) Simulations of bilateral energy markets using MATLAB. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 22 (2). pp. 424-443. ISSN 0332-1649

Macphee, A.G. and McKee, S. and Simpson, R.R.S. (2002) Ferroresonance in electrical systems. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 21 (2). pp. 265-273. ISSN 0332-1649

Lo, K.L. and Luan, W.P. and Given, M.J. and Bradley, M. and Wan, H. (2002) ANN-based automatic contingency selection for electric power system. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 21 (2). pp. 193-207. ISSN 0332-1649

Lin, Y.J. and Lo, K.L. (2002) Improvement of power systems damping using genetic algorithms aided proportional plus derivative output feedback for TCSC. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 21 (2). pp. 208-222. ISSN 0332-1649

Al-Mawsawi, S. and Qader, M. and Lo, K.L. (2002) Evaluating the voltage regulation of a UPFC using PI and fuzzy logic controller. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 21 (3). pp. 409-424. ISSN 0332-1649

This list was generated on Wed Aug 5 21:00:08 2020 BST.