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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: 9.

Article

Fang, Zhenyu and Ren, Jinchang and Marshall, Stephen and Zhao, Huimin and Wang, Zheng and Huang, Kaizhu and Xiao, Bing (2020) Triple loss for hard face detection. Neurocomputing, 398. pp. 20-30. ISSN 0925-2312

Fei, Zixiang and Yang, Erfu and Li, David Day Uei and Butler, Stephen and Ijomah, Winifred and Li, Xia and Zhou, Huiyu (2020) Deep convolution network based emotion analysis towards mental health care. Neurocomputing, 388. pp. 212-227. ISSN 0925-2312

Hou, Jie and Huang, Yanli and Yang, Erfu (2019) ψ-type stability of reaction–diffusion neural networks with time-varying discrete delays and bounded distributed delays. Neurocomputing, 340. pp. 281-293. ISSN 0925-2312

Wang, Zheng and Ren, Jinchang and Zhang, Dong and Sun, Meijun and Jiang, Jianmin (2018) A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos. Neurocomputing. ISSN 0925-2312

Gao, Fei and You, Jialing and Wang, Jun and Sun, Jinping and Yang, Erfu and Zhou, Huiyu (2017) A novel target detection method for SAR images based on shadow proposal and saliency analysis. Neurocomputing, 267. pp. 220-231. ISSN 0925-2312

Zabalza, Jaime and Ren, Jinchang and Zheng, Jiangbin and Zhao, Huimin and Qing, Chunmei and Yang, Zhijing and Du, Peijun and Marshall, Stephen (2016) Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging. Neurocomputing, 185. pp. 1-10. ISSN 0925-2312

Sun, Meijun and Zhang, Dong and Wang, Zheng and Ren, Jinchang and Jin, Jesse S. (2015) Monte Carlo convex hull model for classification of traditional Chinese paintings. Neurocomputing. ISSN 0925-2312

Tang, Dawei and Wong, T. C. and Chin, K. S. and Kwong, C. K. (2014) Evaluation of user satisfaction using evidential reasoning-based methodology. Neurocomputing, 142. pp. 86-94. ISSN 0925-2312

Hussain, A. and Fiori, S. and Qureshi, I. and Durrani, T.S. and Ahmed, M.M. and Fukushima, K. (2008) Engineering of intelligent systems (editorial). Neurocomputing, 71 (13-15). pp. 2616-2618. ISSN 0925-2312

This list was generated on Thu Aug 6 21:00:27 2020 BST.