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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: 6.

Mishra, Puneet and Feller, Torsten and Schmuck, Martin and Nicol, Andreas and Nordon, Alison; (2019) Early detection of drought stress in Arabidopsis thaliana utilsing a portable hyperspectral imaging setup. In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing. IEEE, Piscataway. ISBN 9781728152943

Mishra, Puneet and Schmuck, Martin and Roth, Sina and Nicol, Andreas and Nordon, Alison; (2019) Homogenising and segmenting hyperspectral images of plants and testing chemicals in a high-throughput plant phenotyping setup. In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing. IEEE, Piscataway. ISBN 9781728152943

Mishra, Puneet and Nordon, Alison (2019) Classifying green teas with near infrared hyperspectral imaging. NIR News. ISSN 0960-3360

Mishra, Puneet and Nordon, Alison and Mohd Asaari, Mohd Shahrimie and Lian, Guoping and Redfern, Sally (2019) Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling. Journal of Food Engineering, 249. pp. 40-47. ISSN 0260-8774

Mishra, Puneet and Karami, Azam and Nordon, Alison and Rutledge, Douglas N. and Roger, Jean-Michel (2019) Automatic de-noising of close-range hyperspectral images with a wavelength-specific shearlet-based image noise reduction method. Sensors and Actuators B: Chemical, 281. pp. 1034-1044. ISSN 0925-4005

Mishra, Puneet and Nordon, Alison and Tschannerl, Julius and Lian, Guoping and Redfern, Sally and Marshall, Stephen (2018) Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products. Journal of Food Engineering, 238. pp. 70-77. ISSN 0260-8774

This list was generated on Wed Aug 12 07:09:40 2020 BST.