Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning

Research article (Accident Analysis & Prevention, 2024) · cited 34× · AI/ML
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Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning

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Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning is a scholarly article[1].

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  • Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/advancing-urban-traffic-accident-forecasting-through-sparse-spatio-temporal-dynamic-learning
MLA “Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advancing-urban-traffic-accident-forecasting-through-sparse-spatio-temporal-dynamic-learning.
BibTeX @misc{4ortxyz_advancing-urban-traffic-accident-forecasting-through-sparse-spatio-temporal-dynamic-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning}}, year = {2026}, url = {https://4ort.xyz/entity/advancing-urban-traffic-accident-forecasting-through-sparse-spatio-temporal-dynamic-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning — https://4ort.xyz/entity/advancing-urban-traffic-accident-forecasting-through-sparse-spatio-temporal-dynamic-learning (retrieved 2026-05-24)

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