Home ›
Entities
› academia
› Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning
Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning
Research article (IEEE Internet of Things Journal, 2023) · cited 10× · AI/ML
Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning
Summary
Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning is a scholarly article[1].
Key Facts
Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning'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). Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-dynamic-cache-allocation-in-vehicular-edge-networks-a-method-combining-multisource-data-prediction-and-deep-r
MLA“Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-dynamic-cache-allocation-in-vehicular-edge-networks-a-method-combining-multisource-data-prediction-and-deep-r.
BibTeX@misc{4ortxyz_optimizing-dynamic-cache-allocation-in-vehicular-edge-networks-a-method-combining-multisource-data-prediction-and-deep-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-dynamic-cache-allocation-in-vehicular-edge-networks-a-method-combining-multisource-data-prediction-and-deep-r}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing Dynamic Cache Allocation in Vehicular Edge Networks: A Method Combining Multisource Data Prediction and Deep Reinforcement Learning — https://4ort.xyz/entity/optimizing-dynamic-cache-allocation-in-vehicular-edge-networks-a-method-combining-multisource-data-prediction-and-deep-r (retrieved 2026-05-24)
