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Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices
Research article (Applied Intelligence, 2023) · cited 17× · AI/ML
Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices
Summary
Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices is a scholarly article[1].
Key Facts
Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-metro-rail-transit-passenger-flow-with-multiple-attention-deep-neural-networks-and-surrounding-vehicle-detec
MLA“Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-metro-rail-transit-passenger-flow-with-multiple-attention-deep-neural-networks-and-surrounding-vehicle-detec.
BibTeX@misc{4ortxyz_forecasting-metro-rail-transit-passenger-flow-with-multiple-attention-deep-neural-networks-and-surrounding-vehicle-detec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-metro-rail-transit-passenger-flow-with-multiple-attention-deep-neural-networks-and-surrounding-vehicle-detec}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices — https://4ort.xyz/entity/forecasting-metro-rail-transit-passenger-flow-with-multiple-attention-deep-neural-networks-and-surrounding-vehicle-detec (retrieved 2026-05-24)
