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1-4 of 4 results for Wasserstein autoencoders

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Restricted accessResearch articleFirst published January, 2026

Acoustic sensing and autoencoder approach for abnormal gas detection in a spent nuclear fuel canister mock-up

Bozhou Zhuang, Bora Gencturk, Assad Oberai [...]

Structural Health Monitoring

Restricted accessResearch articleFirst published May 4, 2023

Feature extraction of linear separability using robust autoencoder with distance metric

Pingping Wei, Xin Zhang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Restricted accessResearch articleFirst published January, 2023

Unsupervised deep learning method for bridge condition assessment based on intra-and inter-class probabilistic correlations of quasi-static responses

Yang Xu, Yadi Tian, Hui Li

Structural Health Monitoring

Open accessResearch articleFirst published September, 2021

Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models

Sam Ade Jacobs, Tim Moon, Kevin McLoughlin [...]

The International Journal of High Performance Computing Applications

Search results

Articles (4)

Journals (0)

1-4 of 4 results for Wasserstein autoencoders

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Restricted accessResearch articleFirst published January, 2026

Acoustic sensing and autoencoder approach for abnormal gas detection in a spent nuclear fuel canister mock-up

Bozhou Zhuang, Bora Gencturk, Assad Oberai [...]

Structural Health Monitoring

Restricted accessResearch articleFirst published May 4, 2023

Feature extraction of linear separability using robust autoencoder with distance metric

Pingping Wei, Xin Zhang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Restricted accessResearch articleFirst published January, 2023

Unsupervised deep learning method for bridge condition assessment based on intra-and inter-class probabilistic correlations of quasi-static responses

Yang Xu, Yadi Tian, Hui Li

Structural Health Monitoring

Open accessResearch articleFirst published September, 2021

Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models

Sam Ade Jacobs, Tim Moon, Kevin McLoughlin [...]

The International Journal of High Performance Computing Applications