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Number of items: 10.

Chen, Zheyuan, Wan, Yuwei, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Valera Medina, Agustin ORCID: https://orcid.org/0000-0003-1580-7133 2024. A knowledge graph-supported information fusion approach for multi-faceted conceptual modelling. Information Fusion 101 , 101985. 10.1016/j.inffus.2023.101985
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Wan, Yuwei, Chen, Zheyuan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 and Wang, Rui 2023. Constructing industrial knowledge graph through ontology and link prediction. Presented at: IEEE International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-29 August 2023. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 1-6. 10.1109/CASE56687.2023.10260566
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Chen, Zheyuan 2022. Data mining for fault diagnosis in steel making process under industry 4.0. PhD Thesis, Cardiff University.
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Wan, Yuwei, Chen, Zheyuan, Hu, Fu, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 and Wang, Rui 2022. Exploiting knowledge graph for multi-faceted conceptual modelling using GCN. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021. , vol.200 Procedia Computer Science, Vol 200, pp. 1174-1183. 10.1016/j.procs.2022.01.317
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Chen, Zheyuan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Valera Medina, Agustin ORCID: https://orcid.org/0000-0003-1580-7133 and Robinson, Fiona 2021. Multi-sourced modelling for strip breakage using knowledge graph embeddings. Presented at: 54th CIRP Conference on Manufacturing Systems (CMS 2021), Virtual, 22-24 September 2021. 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0. , vol.104 Elsevier, pp. 1884-1889. 10.1016/j.procir.2021.11.318
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Yang, Jialu ORCID: https://orcid.org/0000-0003-1463-2677, Chen, Zheyuan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Ryan, Michael ORCID: https://orcid.org/0000-0002-8104-0121 2021. Sliding window filter based strip breakage modelling for failure prediction. Presented at: IEEE 17th International Conference on Automation Science and Engineering (CASE 2021), Lyon, France, 23-27 August 2021. 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 1461-1466. 10.1109/CASE49439.2021.9551660
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Chen, Zheyuan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Valera-Medina, Agustin ORCID: https://orcid.org/0000-0003-1580-7133, Robinson, Fiona and Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206 2021. Multi-faceted modelling for strip breakage in cold rolling using machine learning. International Journal of Production Research 59 (21) , pp. 6347-6360. 10.1080/00207543.2020.1812753
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Chen, Zheyuan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Valera Medina, Agustin ORCID: https://orcid.org/0000-0003-1580-7133 and Robinson, Fiona 2020. A multi-source feature-level fusion approach for predicting strip breakage in cold rolling. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), Virtual, 20-24 August 2020. 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 482-487. 10.1109/CASE48305.2020.9216854
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Chen, Zheyuan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Valera Medina, Agustin ORCID: https://orcid.org/0000-0003-1580-7133 and Robinson, Fiona 2019. Strip snap analytics in cold rolling process using machine learning. Presented at: 2019 IEEE 15th International Conference on Automation Science and Engineering, Vancouver, BC, Canada, 22-26 August 2019. Proceedings 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 368-373. 10.1109/coase.2019.8842967
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Chen, Zheyuan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Valera Medina, Agustin ORCID: https://orcid.org/0000-0003-1580-7133 and Robinson, Fiona 2019. Characterizing strip snap in cold rolling process using advanced data analytics. Procedia CIRP 81 , pp. 453-458. 10.1016/j.procir.2019.03.078
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