Home ›
Entities
› academia
› Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network
Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network
Research article (Applied Intelligence, 2022) · cited 30× · AI/ML
Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network
Summary
Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network is a scholarly article[1].
Key Facts
Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network'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). Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-spatial-temporal-bi-directional-residual-optimisation-based-on-tensor-decomposition-for-traffic-data-imputation-on-
MLA“Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-spatial-temporal-bi-directional-residual-optimisation-based-on-tensor-decomposition-for-traffic-data-imputation-on-.
BibTeX@misc{4ortxyz_deep-spatial-temporal-bi-directional-residual-optimisation-based-on-tensor-decomposition-for-traffic-data-imputation-on-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network}}, year = {2026}, url = {https://4ort.xyz/entity/deep-spatial-temporal-bi-directional-residual-optimisation-based-on-tensor-decomposition-for-traffic-data-imputation-on-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep spatial-temporal bi-directional residual optimisation based on tensor decomposition for traffic data imputation on urban road network — https://4ort.xyz/entity/deep-spatial-temporal-bi-directional-residual-optimisation-based-on-tensor-decomposition-for-traffic-data-imputation-on- (retrieved 2026-05-24)
