ACSAformer: A crime forecasting model based on sparse attention and adaptive graph convolution

IntroductionCrime forecasting is crucial for urban safety management, as it facilitates the optimization of police resource allocation, crime prevention, and the enhancement of public security. However, existing supervised learning methods encounter several limitations in processing crime data, incl...

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Bibliographic Details
Main Authors: Zhenkai Qin, Baozhong Wei, Caifeng Gao, Feng Zhu, Weiqi Qin, Qian Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Physics
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Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2025.1596987/full
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