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A Wasserstein generative adversarial network-based approach for real-time track irregularity estimation using vehicle dynamic responses

Research article (Vehicle System Dynamics, 2021) · cited 13× · AI/ML
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A Wasserstein generative adversarial network-based approach for real-time track irregularity estimation using vehicle dynamic responses

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A Wasserstein generative adversarial network-based approach for real-time track irregularity estimation using vehicle dynamic responses is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Wasserstein generative adversarial network-based approach for real-time track irregularity estimation using vehicle dynamic responses. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-wasserstein-generative-adversarial-network-based-approach-for-real-time-track-irregularity-estimation-using-vehicle-dy
MLA “A Wasserstein generative adversarial network-based approach for real-time track irregularity estimation using vehicle dynamic responses.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-wasserstein-generative-adversarial-network-based-approach-for-real-time-track-irregularity-estimation-using-vehicle-dy.
BibTeX @misc{4ortxyz_a-wasserstein-generative-adversarial-network-based-approach-for-real-time-track-irregularity-estimation-using-vehicle-dy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Wasserstein generative adversarial network-based approach for real-time track irregularity estimation using vehicle dynamic responses}}, year = {2026}, url = {https://4ort.xyz/entity/a-wasserstein-generative-adversarial-network-based-approach-for-real-time-track-irregularity-estimation-using-vehicle-dy}, note = {Accessed: 2026-05-24}}
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