Wydawnictwa Uczelniane / TUL Press

Stały URI zbioruhttp://hdl.handle.net/11652/17

Przeglądaj

Filtry

20231

Ustawienia

Autorsearch.filters.applied.operator.equals: search.filters.author.Ernst, SebastianTematsearch.filters.applied.operator.equals: search.filters.subject.classification

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  • Pozycja
    Graph-Supported Preparation of GIS Machine Learning Datasets
    (Wydawnictwo Politechniki Łódzkiej, 2023) Ernst, Sebastian
    The paper presents an approach to preparing spatial (GIS) datasets for machine learning models, and using graph structure to materialise and utilise the results. The presented work is based on the Spatially-Triggered Graph Transformations (STGT) methodology, previously used for many realworld applications, e.g. in the area of smart cities. A workflow using OSM data is presented, aimed at improving the granularity and semantic annotation of map features.