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Open Access research that power business decision making...

Strathprints makes available scholarly Open Access research by the Department of Management Science. This includes research that seeks to develop theory, solution methods and algorithms for confronting solving optimisation and predictive analytics problems arising from real-world situations, such as those arising in manufacturing, logistics, health and energy.

Management Science also explores the application of management science within healthcare organisations, the deployment of data analytics in the creation of risk-based decision support systems, and supply chain risk management.

Explore research outputs by Management Science -- or explore all of Strathclyde's Open Access research...

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Jump to: 2020 | 2019 | 2018
Number of items: 7.

2020

Kirkland, Paul and Di Caterina, Gaetano and Soraghan, John and Matich, George (2020) Perception understanding action : adding understanding to the perception action cycle with spiking segmentation. Frontiers in Neurorobotics, 14. 568319. ISSN 1662-5218

Kirkland, Paul and Di Caterina, Gaetano and Soraghan, John and Matich, George; (2020) SpikeSEG : Spiking segmentation via STDP saliency mapping. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, GBR. ISBN 978-1-7281-6926-2

Kirkland, Paul and Di Caterina, Gaetano and Soraghan, John and Matich, George; Buller, Gerald S. and Hollins, Richard C. and Lamb, Robert A. and Laurenzis, Martin and Camposeo, Andrea and Farsari, Maria and Persano, Luana and Busse, Lynda E., eds. (2020) Neuromorphic technologies for defence and security. In: Emerging Imaging and Sensing Technologies for Security and Defence V; and Advanced Manufacturing Technologies for Micro- and Nanosystems in Security and Defence III. Proceedings of SPIE . SPIE, Bellingham, Washington. ISBN 9781510638945

Kirkland, Paul and Kapitany, Valentin and Lyons, Ashley and Soraghan, John and Turpin, Alex and Faccio, Daniele and Di Caterina, Gaetano; Buller, Gerald S. and Hollins, Richard C. and Lamb, Robert A. and Laurenzis, Martin and Camposeo, Andrea and Farsari, Maria and Persano, Luana and Busse, Lynda E., eds. (2020) Imaging from temporal data via spiking convolutional neural networks. In: Emerging Imaging and Sensing Technologies for Security and Defence V; and Advanced Manufacturing Technologies for Micro- and Nanosystems in Security and Defence III. SPIE, Bellingham, Washington. ISBN 9781510638938

2019

Kirkland, Paul and Di Caterina, Gaetano and Soraghan, John and Andreopoulos, Yiannis and Matich, George (2019) UAV detection : a STDP trained deep convolutional spiking neural network retina-neuromorphic approach. In: 28th International Conference on Artificial Neural Networks 2019, 2019-09-17 - 2019-09-19, Klinikum rechts der Isar, Technische Universit√§t M√ľnchen.

Persico, Adriano Rosario and Kirkland, Paul and Clemente, Carmine and Soraghan, John J. and Vasile, Massimiliano (2019) CubeSat-based passive bistatic radar for space situational awareness : a feasibility study. IEEE Transactions on Aerospace and Electronic Systems, 55 (1). pp. 476-485. 8387455. ISSN 0018-9251

2018

Xing, Y and Kirkland, P and Di Caterina, G and Soraghan, J and Matich, G (2018) Real-time embedded intelligence system : emotion recognition on Raspberry Pi with Intel NCS. In: 27th International Conference on Artificial Neural Networks, 2018-10-05 - 2018-10-07.

This list was generated on Sat Jul 31 11:58:18 2021 BST.