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Title	Geospatial Neural Networks: Enhancing Smart City Through Location Intelligence
ID_Doc	27989
Authors	Chen J.
Year	2025
Published	2025 5th International Conference on Sensors and Information Technology, ICSI 2025
DOI	http://dx.doi.org/10.1109/ICSI64877.2025.11009922
Abstract	Large cities are increasingly leveraging technology to enhance urban living and operational efficiency. The emergence of Geospatial Neural Networks (GeoNNs) offers a novel solution to improve smart city initiatives through advanced location intelligence. By effectively integrating both spatial and temporal data, GeoNNs can learn from the complexities of urban environments. This innovative method enhances applications in areas such as traffic management, environmental monitoring, and urban planning. Utilizing graph neural networks, our approach captures the intricate interactions among urban elements, which significantly aids in informed decision-making. GeoNNs also support real-time data processing, essential for responding dynamically to the demands of smart city infrastructure. © 2025 IEEE.
Author Keywords	Geospatial Neural Network; Real-time Processing; Spatial Data Pipelines

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