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Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems
Research article (Transportation Research Part E Logistics and Transportation Review, 2023) · cited 18× · AI/ML
Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems
Summary
Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems is a scholarly article[1].
Key Facts
Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems's instance of is recorded as scholarly article[2].
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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). Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-attention-models-with-dimension-reduction-and-gate-mechanisms-for-solving-practical-time-dependent-vehicle-routing-
MLA“Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-attention-models-with-dimension-reduction-and-gate-mechanisms-for-solving-practical-time-dependent-vehicle-routing-.
BibTeX@misc{4ortxyz_deep-attention-models-with-dimension-reduction-and-gate-mechanisms-for-solving-practical-time-dependent-vehicle-routing-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems}}, year = {2026}, url = {https://4ort.xyz/entity/deep-attention-models-with-dimension-reduction-and-gate-mechanisms-for-solving-practical-time-dependent-vehicle-routing-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems — https://4ort.xyz/entity/deep-attention-models-with-dimension-reduction-and-gate-mechanisms-for-solving-practical-time-dependent-vehicle-routing- (retrieved 2026-05-24)
