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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: 7.

Article

Masood, Mohsin and Fouad, Mohamed Mostafa and Kamal, Rashid and Glesk, Ivan (2019) An improved particle swarm algorithm for multi-objectives based optimization in MPLS/GMPLS networks. IEEE Access. ISSN 2169-3536

Masood, Mohsin and Fouad, Mohamed Mostafa and Seyedzadeh, Saleh and Glesk, Ivan (2019) Energy efficient software defined networking algorithm for wireless sensor networks. Transportation Research Procedia, 40. pp. 1481-1488. ISSN 2352-1465

Masood, Mohsin and Abuhelala, Mohamed and Glesk, Ivan (2016) A comprehensive study of routing protocols performance with topological changes in standard networks. International Journal of Electronics, Electrical and Computational System, 5 (8). pp. 31-40. 6R7K3T. ISSN 2348-117X

Book Section

Masood, Mohsin and Fouad, Mohamed Mostafa and Glesk, Ivan; Hassanien, Aboul Ella and Tolba, Mohamed F. and Elhoseny, Mohamed and Mostafa, Mohamed, eds. (2018) Pareto based bat algorithm for multi objectives multiple constraints optimization in GMPLS networks. In: The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). Advances in Intelligent Systems and Computing . Springer, EGY, pp. 33-41. ISBN 9783319746906

Masood, Mohsin and Abu Helala, Mohamed and Glesk, Ivan; Müllerová, Jarmila and Senderáková, Dagmar and Ladányi, Libor and Scholtz, Ľubomír, eds. (2016) Detailed analysis of routing protocols with different network limitations. In: Proceedings of the 20th Slovak-Czech-Polish Optical Conference on Wave and Quantum Aspects of Contemporary Optics. SPIE, SVK.

Conference or Workshop Item

Masood, Mohsin and Fouad, Mohamed Mostafa and Glesk, Ivan (2017) Proposing bat inspired heuristic algorithm for the optimization of GMPLS networks. In: 25th Telecommunications Forum TELFOR 2017, 2017-11-21 - 2017-11-22, School of Electrical Engineering, University of Belgrade.

Masood, Mohsin and Fouad, Mohamed Mostafa and Glesk, Ivan (2017) A Pareto based approach with elitist learning strategy for MPLS/GMPS networks. In: 9th Computer Science & Electronic Engineering Conference, 2017-09-27 - 2017-09-29, Tony Rich Teaching Centre, University of Essex.

This list was generated on Wed Aug 5 23:51:28 2020 BST.