Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Browse by All Cardiff Authors

[up] Up a level
Number of items: 8.

Zhang, Shaobo and Guo, Xiao 2026. A voting-based unsupervised framework for multivariate anomaly detection in vertical farming. Presented at: 3rd International Conference on Big Data Science and Engineering, Kunming, China, 12-14 June 2026. Procedings of ICBDSE 2026. IEEE, 10.1109/icbdse70225.2026.11635673
file

Zhou, Yiwei, Guo, Xiao, Dai, Xiaoran, Lei, Zhongcheng, Hu, Wenshan and Zhou, Hong 2025. Real time simulation study of DEH for digital twin steam turbine generators. IET Generation, Transmission and Distribution 19 (1) , e70119. 10.1049/gtd2.70119
file

Alasmari, Loloah, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Guo, Xiao 2025. Assessing the circular transformation of warehouse operations through simulation. Applied Sciences 15 (20) , 10910. 10.3390/app152010910
file

Zhang, Shaobo, Guo, Xiao and Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 2025. Enhancing machine learning models for vertical farm energy forecasting: impact of data smoothing and feature selection. Presented at: 10th International Conference on Cloud Computing and Big Data Analytics, Chengdu, China, 24-26 April 2025. Proceedings of the 10th International Conference on Cloud Computing and Big Data Analytics. IEEE, pp. 151-160. 10.1109/ICCCBDA64898.2025.11030388
file

Alasmari, Loloah, Packianather, Michael ORCID: https://orcid.org/0000-0002-9436-8206, Tuthill, Peter, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Guo, Xiao 2025. Assessing the circular transformation of warehouse operations through simulation. Presented at: The International Conference on Industry 4.0 and Smart Manufacturing (ISM), Prague, Czech Republic, 20-22 November 2024. Procedia Computer Science. , vol.253 pp. 1124-1133. 10.1016/j.procs.2025.01.174
file

Schmid, Jonas, Sommer, Lutz, Ramos, Joao and Guo, Xiao 2024. Concept of hybrid-modelled digital twins for energy optimisation and flexible manufacturing systems for SMEs. Presented at: 57th CIRP Conference on Manufacturing Systems 2024 (CMS 2024), Portugal, 29-31 May 2024. Procedia CIRP. , vol.130 Elsevier, pp. 711-717. 10.1016/j.procir.2024.10.153
file

Sommer, L., Schmid, J. and Guo, X.J. 2024. Open-source approach for modelling digital twins in non-profit organisations. Thrassou, A., Vrontis, D., Efthymiou, L., Weber, Y., Shams, S.M.R. and Tsoukatos, E., eds. Non-Profit Organisations, Volume IV Structures, Models and Technology, Palgrave Studies in Cross-disciplinary Business Research, In Association with EuroMed Academy of Business, Cham, Switzerland: Palgrave Macmillan, pp. 227-253. (10.1007/978-3-031-62538-1_10)

Liu, Yuhan, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, McCrory, John and Guo, Xiao 2024. High-fidelity digital twin modelling for predictive maintenance state-of-the-art. Presented at: The 51st International Conference on Computers and Industrial Engineering (CIE51), Sydney, Australia, 9-11 December 2024. Proceedings 51st International Conference on Computers & Industrial Engineering (CIE51). New York, USA: Computers & Industrial Engineering, pp. 150-161.
file

This list was generated on Sun Oct 11 05:02:32 2026 BST.


Maintained by Cardiff University IT