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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: 5.

Article

Lin, Shanrong and Huang, Yanli and Yang, Erfu (2020) Passivity and synchronization of coupled different dimensional delayed reaction-diffusion neural networks with dirichlet boundary conditions. Complexity, 2020. 4987962. ISSN 1076-2787

Wang, Xiaoming and Zhao, Xinbo and Ren, Jinchang (2019) A new type of eye movement model based on recurrent neural networks for simulating the gaze behavior of human reading. Complexity, 2019. 8641074. ISSN 1076-2787

Xu, Xinying and Li, Guiqing and Xie, Gang and Ren, Jinchang and Xie, Xinlin (2019) Weakly supervised deep semantic segmentation using CNN and ELM with semantic candidate regions. Complexity, 2019. 9180391. ISSN 1076-2787

Gao, Fei and Huang, Teng and Sun, Jinping and Hussain, Amir and Yang, Erfu and Zhou, Huiyu (2019) A novel semi-supervised learning method based on fast search and density peaks. Complexity, 2019. pp. 1-23. 6876173. ISSN 1076-2787

Estrada, Ernesto and Pereira-Ramos, Puri (2018) Spatial "artistic" networks : from deconstructing integer-functions to visual arts. Complexity, 2018. 9893867. ISSN 1076-2787

This list was generated on Wed Aug 12 01:04:05 2020 BST.