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Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis
Research article (Expert Systems with Applications, 2024) · cited 50× · AI/ML
Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis
Summary
Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis is a scholarly article[1].
Key Facts
Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis's instance of is recorded as scholarly article[2].
References
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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). Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/prioritizing-rear-end-crash-explanatory-factors-for-injury-severity-level-using-deep-learning-and-global-sensitivity-ana
MLA“Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prioritizing-rear-end-crash-explanatory-factors-for-injury-severity-level-using-deep-learning-and-global-sensitivity-ana.
BibTeX@misc{4ortxyz_prioritizing-rear-end-crash-explanatory-factors-for-injury-severity-level-using-deep-learning-and-global-sensitivity-ana_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis}}, year = {2026}, url = {https://4ort.xyz/entity/prioritizing-rear-end-crash-explanatory-factors-for-injury-severity-level-using-deep-learning-and-global-sensitivity-ana}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis — https://4ort.xyz/entity/prioritizing-rear-end-crash-explanatory-factors-for-injury-severity-level-using-deep-learning-and-global-sensitivity-ana (retrieved 2026-05-24)
