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A novel generative adversarial network for improving crash severity modeling with imbalanced data

Research article (Transportation Research Part C Emerging Technologies, 2024) · cited 39× · AI/ML
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A novel generative adversarial network for improving crash severity modeling with imbalanced data

Summary

A novel generative adversarial network for improving crash severity modeling with imbalanced data is a scholarly article[1].

Key Facts

  • A novel generative adversarial network for improving crash severity modeling with imbalanced data's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A novel generative adversarial network for improving crash severity modeling with imbalanced data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-generative-adversarial-network-for-improving-crash-severity-modeling-with-imbalanced-data
MLA “A novel generative adversarial network for improving crash severity modeling with imbalanced data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-generative-adversarial-network-for-improving-crash-severity-modeling-with-imbalanced-data.
BibTeX @misc{4ortxyz_a-novel-generative-adversarial-network-for-improving-crash-severity-modeling-with-imbalanced-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel generative adversarial network for improving crash severity modeling with imbalanced data}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-generative-adversarial-network-for-improving-crash-severity-modeling-with-imbalanced-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel generative adversarial network for improving crash severity modeling with imbalanced data — https://4ort.xyz/entity/a-novel-generative-adversarial-network-for-improving-crash-severity-modeling-with-imbalanced-data (retrieved 2026-05-24)

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