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Number of items: 9.

Barclay, Iain, Simpkin, Chris, Bent, Graham, La Porta, Tom, Millar, Declan, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057, Taylor, Ian ORCID: https://orcid.org/0000-0001-5040-0772 and Verma, Dinesh 2022. Trustable service discovery for highly dynamic decentralized workflows. Future Generation Computer Systems 134 , pp. 236-246. 10.1016/j.future.2022.03.035
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Bent, Graham, Simpkin, Christopher, Li, Yuhua ORCID: https://orcid.org/0000-0003-2913-4478 and Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 2022. Energy efficient spiking neural network neuromorphic processing to enable decentralised service workflow composition in support of multi-domain operations. Presented at: SPIE Defense + Commercial Sensing 2022, Orlando, Florida, United States, 3 April - 13 June 2022. Published in: Pham, Tien and Solomon, Latasha eds. Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. , vol.12113 SPIE, 121131M. 10.1117/12.2617362
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Bent, Graham, Simpkin, Christopher, Li, Yuhua ORCID: https://orcid.org/0000-0003-2913-4478 and Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 2022. Hyperdimensional computing using time-to-spike neuromorphic circuits. Presented at: 2022 IEEE World Congress on Computational Intelligence (WCCI), Padova, Italy, 18-23 July 2022. International Joint Conference on Neural Networks. IEEE,
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Simpkin, Christopher 2021. A vector symbolic approach for cognitive services and decentralized workflows. PhD Thesis, Cardiff University.
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Barclay, Iain, Simpkin, Christopher, Bent, Graham, La Porta, Tom, Millar, Declan, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057, Taylor, Ian ORCID: https://orcid.org/0000-0001-5040-0772 and Verma, Dinesh 2020. Enabling discoverable trusted services for highly dynamic decentralized workflows. Presented at: 15th IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS 2020), Virtual, 11 November 2020.
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Simpkin, Chris, Taylor, Ian ORCID: https://orcid.org/0000-0001-5040-0772, Harborne, Daniel, Bent, Graham, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 and Ganti, Raghu K. 2020. Efficient orchestration of Node-RED IoT workflows using a vector symbolic architecture. Future Generation Computer Systems 111 , pp. 117-131. 10.1016/j.future.2020.04.005
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Simpkin, Christopher, Taylor, Ian ORCID: https://orcid.org/0000-0001-5040-0772, Bent, Graham, de Mel, Geeth, Rallapalli, Swati, Ma, Liang and Srivatsa, Mudhakar 2019. Constructing distributed time-critical applications using cognitive enabled services. Future Generation Computer Systems 100 , pp. 70-85. 10.1016/j.future.2019.04.010
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Simpkin, Christopher, Taylor, Ian ORCID: https://orcid.org/0000-0001-5040-0772, Bent, Graham, de Mel, Geeth and Ganti, Raghu 2018. A Scalable Vector Symbolic Architecture Approach for Decentralized Workflows. Presented at: The Eighth International Conference on Advanced Collaborative Networks, Systems and Applications COLLA 2018, Venice, Italy, 24-28 June, 2018.
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Simpkin, Christopher, Taylor, Ian ORCID: https://orcid.org/0000-0001-5040-0772, Harborne, Daniel, Bent, Graham, Preece, Alun ORCID: https://orcid.org/0000-0003-0349-9057 and Ganti, Raghu k 2018. Dynamic distributed orchestration of Node-RED IOT workflows using a vector symbolic architecture. Presented at: WORKS 2018, Dallas Texas, 11-16 November 2018.
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