Chris Windmill
| Name | Chris Windmill |
|---|---|
| Job title | Senior Lecturer in Computing |
| Research institute | College of Science and Engineering |
| ORCID | https://orcid.org/0000-0002-2791-6938 |
Research outputs
Managing Intellectual Property Issues with Digital Twins
Clementson, J., Wood, P. and Windmill, C. 2021. Managing Intellectual Property Issues with Digital Twins. INCOSEUK ASEC 2021. INCOSEUK.Legal Considerations for Using Digital Twins in Additive Manufacture - A Review of the Literature
Clementson, J., Teng, J., Wood, P. and Windmill, C. 2021. Legal Considerations for Using Digital Twins in Additive Manufacture - A Review of the Literature. in: Shafik, M. and Case, K (ed.) Volume 15: Advances in Manufacturing Technology XXXIV Amsterdam IOS Press. pp. 91-96High Performance Time Series Quantitative Retrieval from Satellite Images on a GPU Cluster
Liu, J., Xue, Y., Ren, K., Song, J., Windmill, C. and Merritt, P. 2019. High Performance Time Series Quantitative Retrieval from Satellite Images on a GPU Cluster. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12 (8). https://doi.org/10.1109/JSTARS.2019.2920077A Heterogeneous and Interactive Big Earth Data Framework
Bi, H., Xue, Y., Merritt, P., Windmill, C. and Davis, B. 2019. A Heterogeneous and Interactive Big Earth Data Framework. 2019 International Conference on Big Data Engineering. IEEE. https://doi.org/10.1145/3341620.3341628Aggregation Loss Bandwidth in the Last Mile Residential Internet
Windmill, C. 2014. Aggregation Loss Bandwidth in the Last Mile Residential Internet. 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation. IEEE. https://doi.org/10.1109/UKSim.2014.86Characterisation of Large Changes in Wind Power for the Day-Ahead Market Using a Fuzzy Logic Approach
Martínez-Arellano, G., Nolle, L., Cant, R., Lotfi, A. and Windmill, C. 2014. Characterisation of Large Changes in Wind Power for the Day-Ahead Market Using a Fuzzy Logic Approach. KI-Künstliche Intelligenz. 28 (4), pp. 239-253. https://doi.org/10.1007/s13218-014-0322-3A Hierarchical Geographically Based Routing Model for Improved Localised Routing
Windmill, C. 2014. A Hierarchical Geographically Based Routing Model for Improved Localised Routing. SIMS '14: Proceedings of the 2014 First International Conference on Systems Informatics, Modelling and Simulation. IEEE Computer Society. https://doi.org/10.5555/2681970.2682436152
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