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DiffCrash: leveraging denoising diffusion probabilistic models to expand high-risk testing scenarios using in-depth crash data
Research article (Expert Systems with Applications, 2025) · cited 10× · AI/ML
DiffCrash: leveraging denoising diffusion probabilistic models to expand high-risk testing scenarios using in-depth crash data
Summary
DiffCrash: leveraging denoising diffusion probabilistic models to expand high-risk testing scenarios using in-depth crash data is a scholarly article[1].
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DiffCrash: leveraging denoising diffusion probabilistic models to expand high-risk testing scenarios using in-depth crash data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). DiffCrash: leveraging denoising diffusion probabilistic models to expand high-risk testing scenarios using in-depth crash data. Retrieved May 24, 2026, from https://4ort.xyz/entity/diffcrash-leveraging-denoising-diffusion-probabilistic-models-to-expand-high-risk-testing-scenarios-using-in-depth-crash
