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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.

Article

He, Kanghang and Jakovetic, Dusan and Zhao, Bochao and Stankovic, Vladimir and Stankovic, Lina and Cheng, Samuel (2019) A generic optimisation-based approach for improving non-intrusive load monitoring. IEEE Transactions on Smart Grid, 10 (6). pp. 6472-6480. ISSN 1949-3053

Bajović, Dragana and He, Kanghang and Stanković, Lina and Vukobratović, Dejan and Stanković, Vladimir (2018) Optimal detection and error exponents for hidden semi-Markov models. IEEE Journal on Selected Topics in Signal Processing, 12 (5). pp. 1077-1092. ISSN 1932-4553

Zhao, Bochao and He, Kanghang and Stankovic, Lina and Stankovic, Vladimir (2018) Improving event-based non-intrusive load monitoring using graph signal processing. IEEE Access. pp. 1-15. ISSN 2169-3536

He, Kanghang and Stankovic, Lina and Liao, Jing and Stankovic, Vladimir (2018) Non-intrusive load disaggregation using graph signal processing. IEEE Transactions on Smart Grid, 9 (3). pp. 1739-1747. ISSN 1949-3053

Book Section

He, Kanghang and Yang, Cheng and Stankovic, Vladimir and Stankovic, Lina; (2017) Graph-based clustering for identifying region of interest in eye tracker data analysis. In: 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). IEEE, GBR. ISBN 9781509036509

Conference or Workshop Item

He, Kanghang and Jakovetic, Dusan and Stankovic, Vladimir and Stankovic, Lina (2018) Post-processing for event-based non-intrusive load monitoring. In: 4th International Workshop on Non-Intrusive Load Monitoring, 2018-03-07 - 2018-03-08.

This list was generated on Mon Aug 3 18:21:48 2020 BST.