Urban planning increasingly requires accessible ways to connect regulatory frameworks with clear spatial visualisation and machine-assisted guidance. However, the integration of legal and geospatial information into platforms that support decision-making, communication, and participation remains limited. In particular,...
M. Koeva, D. Petrova-Antonova, S. Zlatanova et al.· ISPRS Annals of the Photogra...· 0 citations
Recent advances in digital technologies have enabled the development of urban tools that integrate geospatial data to support the analysis of complex urban systems and climate change. However, the reliability of such tools depends strongly on the availability and integration of high-quality geospatial data. This study...
L. Vitanova, Kunihiko Fujiwara, Ryotaro Karube et al.· The International Archives o...· 0 citations
With the increasing availability of powerful computational resources and artificial intelligence (AI), a data-driven approach has been gaining attention in atmospheric science, particularly in downscaling/emulating research. For example, Convolutional Neural Networks (CNNs) are used to emulate fine-resolution climate d...
Koki Nakamura, L. Vitanova, Quang-Van Doan et al.· The International Archives o...· 0 citations
We propose a Well-Being-Centric Walkable Tourism Platform Using AI Agent that fuses heterogeneous urban data—an OSM pedestrian graph, a city-scale microclimate field, and a walkability layer for Sofia, Bulgaria—with an AI agent that converts freetext user requests into a constrained heat-aware routing problem. The pl...
Anna Yokokubo, Yusuke Sasaki, Takeo Hamada et al.· The International Archives o...· 0 citations
A deep-learning model, called SATADL, which can infer complex relations and output multiple-hour-ahead air-quality forecasts is presented, which is used to simulate the mea- surements of an unresponsive station until its operation is restored.
Alexander Kostadinov, P. O. Hristov, D. Petrova-Antonova· 0 citations
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