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First 1733 results for ” Wilco Hazeleger”

  1. SHAPEness: A SHACL-Driven Metadata Editor

    The Shapes Constraint Language (SHACL) has been recently introduced as a W3C recommendation to de...

    Rossana Paciello, Luca Trani, Daniele Bailo, Valerio Vinciarelli and Manuela Sbarra | Journal: Communications in Computer and Information Science | Volume: 1789 | Year: 2023 | doi: https://doi.org/10.1007/978-3-031-39141-5_23

    Publication

  2. An artificial intelligence agent that synthesises visual abstractions of natural forms to support the design of human-made habitat structures

    Biodiversity is in a state of global collapse. Among the main drivers of this crisis is habitat d...

    Gabriele Mirra, Alexander Holland, Stanislav Roudavski, Jasper S. Wijnands, Alberto Pugnale | Journal: Frontiers in Ecology and Evolution | Volume: 10 | Year: 2022 | First page: 1 | Last page: 21 | doi: https://doi.org/10.3389/fevo.2022.806453

    Publication

  3. Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion

    Concentrations of atmospheric methane (CH4), the second most important greenhouse gas, continue t...

    McNorton J., Bousserez N., Agusti-Panareda A., Balsamo G., Cantarello L., Engelen R., Huijnen V., Inness A., Kipling Z., Parrington M., Ribas R. | Journal: Atmospheric Chemistry and Physics | Volume: 22 (9) | Year: 2022 | First page: 5961 | Last page: 5981 | doi: 10.5194/acp-22-5961-2022

    Publication

  4. A new high-resolution ocean wind forcing product for the Copernicus Marine Service

    As more than 70% of the earth surface is covered by water, exchanges of heat, gases and momentum ...

    Rianne Giesen, Ad Stoffelen, Ana Trindade, Liselotte van Cranenburgh, Marcos Portabella | Journal: EGU General Assembly | Year: 2022 | doi: https://doi.org/10.5194/egusphere-egu22-7624

    Publication

  5. SWIRRL. Managing Provenance-aware and Reproducible Workspaces

    Modern interactive tools for data analysis and visualisation are designed to expose their functio...

    Alessandro Spinuso, Mats Veldhuizen, Daniele Bailo, Valerio Vinciarelli, Tor Langeland | Journal: Data Intelligence | Year: 2022 | doi: https://doi.org/10.1162/dint_a_00129

    Publication