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First 1602 results for ”Luca Trani”

  1. Data cube and cloud resources as platform for seamless geospatial computation

    The data cube paradigm has been successfully applied in several domains of the geosciences. In th...

    Giuliano Andrea Pagani and Luca Trani | Journal: Proceedings of the 15th ACM International Conference on Computing Frontiers (CF '18) | Year: 2018 | First page: 293 | Last page: 298 | doi: https://doi.org/10.1145/3203217.3205861

    Publication

  2. EPOS-DCAT-AP 2.0 – State of Play on the Application Profile for Metadata Exchange in the EPOS RI

    Metadata application profiles are widely employed to enable the exchange of metadata between diff...

    Rossana Paciello, Luca Trani, Daniele Bailo 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_21

    Publication

  3. 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

  4. WFCatalog: a catalogue for seismological waveform data

    This paper reports advances in seismic waveform description and discovery leading to a new seismo...

    Luca Trani, Mathijs Koymans, Malcolm Atkinson, Reinoud Sleeman and Rosa Filgueira | Status: submitted | Journal: Computers and Geosciences | Volume: 106 | Year: 2017 | First page: 101 | Last page: 108 | doi: https://doi.org/10.1016/j.cageo.2017.06.008

    Publication

  5. DeepQuake — An application of CNN for seismo-acoustic event classification in The Netherlands

    Recent developments in instrumentation and methodology are major driving forces in the advances o...

    Luca Trani, Giuliano Andrea Pagani, João Paulo Pereira Zanetti, Camille Chapeland, Läslo Evers | Journal: Computers & Geosciences | Volume: 159 | Year: 2022 | doi: https://doi.org/10.1016/j.cageo.2021.104980

    Publication