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Application of deep learning models to generate rich, dynamic and production-like test data

Crossref DOI link: https://doi.org/10.1007/s10664-024-10541-w

Published Online: 2024-10-18

Published Print: 2025-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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