Home ›
Entities
› academia
› Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow
Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow
Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 27× · AI/ML
Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow
Summary
Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow is a scholarly article[1].
Key Facts
Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow. Retrieved May 24, 2026, from https://4ort.xyz/entity/mul-deslstm-an-integrative-multi-time-granularity-deep-learning-prediction-method-for-urban-rail-transit-short-term-pass
MLA“Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mul-deslstm-an-integrative-multi-time-granularity-deep-learning-prediction-method-for-urban-rail-transit-short-term-pass.
BibTeX@misc{4ortxyz_mul-deslstm-an-integrative-multi-time-granularity-deep-learning-prediction-method-for-urban-rail-transit-short-term-pass_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow}}, year = {2026}, url = {https://4ort.xyz/entity/mul-deslstm-an-integrative-multi-time-granularity-deep-learning-prediction-method-for-urban-rail-transit-short-term-pass}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow — https://4ort.xyz/entity/mul-deslstm-an-integrative-multi-time-granularity-deep-learning-prediction-method-for-urban-rail-transit-short-term-pass (retrieved 2026-05-24)
