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
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/10.5555/2681970.268243695
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