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1 - 10 of 10 search results for katalk:za33 24 |u:como.ceb.cam.ac.uk where 0 match all words and 10 match some words.

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  2. Universal Digital Twin – the impact of heat pumps on inequality

    https://como.ceb.cam.ac.uk/media/preprints/c4e-281.pdf
    28 Sep 2021: 22. A.1.1 Description logic representation. 22. A.1.2 Example query. 23. References 24. ... The World Avatar project [24, 25, 41] offers a solution that enables the transparent integra-tion of different types of models and data.

  3. Semantic 3D City Database – an enabler for a dynamic geospatial…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-273.pdf
    1 Jun 2021: Strabonis known to show good performance on single machine and synthetic datasets [24]. ... Semantic transforma-tion of Charlottenburg-Wilmersdorf CityGML 2.0 LOD2 data contains 20,570 buildingsand results in 24,244,610 triples materialised and stored in

  4. The World Avatar – a world model for facilitating interoperability

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-277.pdf
    3 Aug 2021: Witha land area of 31 square kilometres, Jurong Island is home to over 100 global petroleum,petrochemical and speciality chemical companies [24] and has attracted over S$50 billionworth of investments [25]. ... Singstat, 2020. URL https://www.singstat.gov

  5. Embedding Energy Storage Systems into a Dynamic Knowledge Graph

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-280.pdf
    8 Sep 2021: Notable examples are the Resource Description Framework(RDF) and RDF Schema, the DARPA Agent Markup Language (DAML), the OntologyInference Layer (OIL), the Web Ontology Language (OWL) and OWL2 [24]. ... Energy, 226:120395, 2021.

  6. Semantic 3D City Agents – an intelligent automation for Dynamic…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-283.pdf
    8 Nov 2021: A City Import Agent – UML Activity Diagram 24. B City Export Agent – UML Activity Diagram 25. ... It also uses two BlockingQueues form Java Col-lections Framework [24] in order to facilitate concurrent information exchange betweenthe tasks.

  7. From Platform to Knowledge Graph: Evolution of Laboratory Automation

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-284.pdf
    10 Nov 2021: Since then,considerable advances have been made to expand the potentialities of such a tool, cover-ing the field of chemical reactions [24, 25], drug discovery [130], and material discoveryfor clean ... 13] and Coley et al. [24]. In this section, we

  8. Defining archetypes of mixed-use developments for improved urban…

    https://como.ceb.cam.ac.uk/media/preprints/c4e-preprint-285.pdf
    15 Nov 2021: 23. 6.2 Impacts on early stage master-planning. 24. 2. 6.3 Potential impacts of the ontoMixedUseZoning ontology. ... re. flori. st. #10377 1.6 84,826 1 7 104 9 1 3 2 24.

  9. Sustainable operation of district heating systems using dynamic…

    https://como.ceb.cam.ac.uk/media/preprints/c4e_mh807_generation_optimisation.pdf
    6 Jul 2021: 21. 5.2 Forecasting Results. 22. 5.3 Optimisation Results. 24. 6 Conclusions 28.

  10. Blockchain Technology in the Chemical Industry

    https://como.ceb.cam.ac.uk/media/preprints/c4e_mk306_blockchain_Annual_Review.pdf
    7 Oct 2021: Blockchain Technology in the Chemical Industry. Preprint Cambridge Centre for Computational Chemical Engineering ISSN 1473 – 4273. Blockchain Technology in the Chemical Industry. Xiaochi Zhou 1, Markus Kraft 1,2,3. released: October 7, 2021. 1

  11. How does blending oxygenated fuels affect soot formation from Jet A2…

    https://como.ceb.cam.ac.uk/media/preprints/YRT23_PREPRINT_Kerosene_OxFuels_5.pdf
    6 Jul 2021: The structure of the molecules [33, 38, 73], bond saturation [32], oxy-gen content [24, 60] and the oxygen-containing functional groups [32, 38, 73] have allbeen shown to influence the ... A1.2 Fuel consumption rates. Table A1.2 shows the rate of fuel

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