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Understanding Network Traffic States using Transfer Learning

Research article (2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018) · cited 14× · AI/ML
CreativeWork academia

Facts

5 properties
Instance of
scholarly article[2]
Publication date
November 1, 2018as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Funded by grant
SETA: An open, sustainable, ubiquitous data and service ecosystem for efficient, effective, safe, resilient mobility in metropolitan areasas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Sponsor
European Commissionas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
Understanding Network Traffic States using Transfer Learningas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W2905518843as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1109/ITSC.2018.8569450as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 5
Alan Perotti, Hans van Lint, Oded Cats, Panchamy Krishnakumari, Viviana Pinto
← Author of 5
Alan Perotti, Hans van Lint, Oded Cats, Panchamy Krishnakumari, Viviana Pinto
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Summary

Understanding Network Traffic States using Transfer Learning is a scholarly article[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Understanding Network Traffic States using Transfer Learning. Retrieved October 18, 2026, from https://4ort.xyz/entity/understanding-network-traffic-states-using-transfer-learning
MLA “Understanding Network Traffic States using Transfer Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/understanding-network-traffic-states-using-transfer-learning.
BibTeX @misc{4ortxyz_understanding-network-traffic-states-using-transfer-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Understanding Network Traffic States using Transfer Learning}}, year = {2026}, url = {https://4ort.xyz/entity/understanding-network-traffic-states-using-transfer-learning}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Understanding Network Traffic States using Transfer Learning — https://4ort.xyz/entity/understanding-network-traffic-states-using-transfer-learning (retrieved 2026-10-18)

Canonical URL: https://4ort.xyz/entity/understanding-network-traffic-states-using-transfer-learning · Last refreshed: