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Computational Modelling Group: Preprint 276
https://como.ceb.cam.ac.uk/preprints/276/Sources of data relating to land use in the UK have been surveyed. ... Formal ontologies to represent land use and the geospatial data arising from such surveys have been developed. -
Computational Modelling Group: Publication JoCIaM-59-3154-3165
https://como.ceb.cam.ac.uk/publications/JoCIaM-59-3154-3165/MolHub can upload, validate, browse, query, visualise, and download quantum chemistry data, as well as conduct thermochemistry calculations. ... This paper also presents a NASA polynomial use-case scenario to demonstrate semantic interoperability between -
Computational Modelling Group: Preprint 279
https://como.ceb.cam.ac.uk/preprints/279/Preprint 279. Technical Report 279, c4e-Preprint Series, Cambridge. Universal Digital Twin - Integration of national-scale energy systems and climate data. ... Gas and climate data integrated into Universal Digital Twin based on World Avatar. -
Workshop WebLabs Cambridge/UK 08/07/2005
https://como.ceb.cam.ac.uk/media/resources/ralf_moros_ws.pdf15 Nov 2023: hardware description• experimental objectivs• theoretical backgrounds• offline experiments• online experiment• evaluation of data• interactive simulation• self control. ... if 2 (or more) Lab providers User management/Scheduling if 2 (or -
Computational Modelling Group: Preprint 264
https://como.ceb.cam.ac.uk/preprints/264/Highlights. Dynamic knowledge-graph approach proposed for National Digital Twin. Unified visualisation interface enables data access across domains and scales. ... Important directions for future research are highlighted. Material from this preprint has -
Computational Modelling Group: Preprint 309
https://como.ceb.cam.ac.uk/preprints/309/Implemented semantic agent framework for autonomous data ingestion and assessment. Utilised derived information framework to automatically update dependent information. ... These coupled ontologies can dynamically instantiate near real-time data from -
Computational Modelling Group: Preprint 297
https://como.ceb.cam.ac.uk/preprints/297/We developed a City Information Agent to help retrieve contextual information, provide data concerning city regulations, and work with a City Energy Analyst Agent that automatically estimates the energy demands for ... Material from this preprint has -
Computational Modelling Group: Preprint 112
https://como.ceb.cam.ac.uk/preprints/112/Error analysis is performed on the optimised chemical kinetic mechanism and shows that the optimisation improves its overall response when compared to a wide range of experimental data. -
Computational Modelling Group: Preprint 287
https://como.ceb.cam.ac.uk/preprints/287/Material from this preprint has been published in Data & Policy. -
Computational Modelling Group: Preprint 223
https://como.ceb.cam.ac.uk/preprints/223/MolHub can upload, validate, browse, query, visualise, and download quantum chemistry data, as well as conduct thermochemistry calculations. ... This paper also presents a NASA polynomial use-case scenario to demonstrate semantic interoperability between
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