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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: 2019 | 2011 | 2005
Number of items: 4.

2019

Wang, Xinran and Li, Chao and Yu, Leijian and Han, Lirong and Deng, Xiaogang and Yang, Erfu and Ren, Peng (2019) UAV first view landmark localization with active reinforcement learning. Pattern Recognition Letters, 125. pp. 549-555. ISSN 0167-8655

Luo, Cai and Yu, Leijian and Yang, Erfu and Zhou, Huiyu and Ren, Peng (2019) A benchmark image dataset for industrial tools. Pattern Recognition Letters, 125. pp. 341-348. ISSN 0167-8655

2011

Alkhateeb, Jawad H. and Ren, Jinchang and Jiang, Jianmin and Al-Muhtaseb, Husni (2011) Offline handwritten Arabic cursive text recognition using hidden markov models and re-ranking. Pattern Recognition Letters, 32 (8). pp. 1081-1088. ISSN 0167-8655

2005

Sheikh Akbari, A. and Soraghan, J.J. (2005) Multiscale fuzzy reasoning (MFR) for automatic object extraction. Pattern Recognition Letters, 26 (1). pp. 77-81. ISSN 0167-8655

This list was generated on Wed Aug 12 11:28:20 2020 BST.