Search

Search Funnelback University

Search powered by Funnelback
1 - 10 of 21 search results for `download data` |u:como.ceb.cam.ac.uk
  1. Fully-matching results

  2. 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.
  3. 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
  4. 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.
  5. Workshop WebLabs Cambridge/UK 08/07/2005

    https://como.ceb.cam.ac.uk/media/resources/ralf_moros_ws.pdf
    15 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
  6. 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
  7. 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
  8. 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
  9. 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.
  10. Computational Modelling Group: Preprint 287

    https://como.ceb.cam.ac.uk/preprints/287/
    Material from this preprint has been published in Data & Policy.
  11. 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

Refine your results

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.