Wydawnictwa Uczelniane / TUL Press
Stały URI zbioruhttp://hdl.handle.net/11652/17
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Pozycja Lessons Learned from a Smart City Project with Citizen Engagement(Wydawnictwo Politechniki Łódzkiej, 2023) Ernst, Sebastian; Zaworski, Konrad; Sokołowski, Piotr; Salwa, GrzegorzThe paper discusses the experiences gained in a joint research project by AGH and the commune of Siechnice. Two main areas are discussed: collecting data from heterogenous sensor devices as well as input from citizens, and development of analytic procedures in a way which guarantees integration between day-to-day and research operations. The most prominent outcomes of the project include the development of a living lab as well as automation of multi-aspect inference, which would normally have to be carried out by a team of experts.Pozycja Graph-Supported Preparation of GIS Machine Learning Datasets(Wydawnictwo Politechniki Łódzkiej, 2023) Ernst, SebastianThe 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.