GeMSyD: Generic Framework for Synthetic Data Generation
In the era of data-driven technologies, the need for diverse and high-quality datasets for training and testing machine learning models has become increasingly critical. In this article, we present a versatile methodology, the Generic Methodology for Constructing Synthetic Data Generation (GeMSyD),...
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| Päätekijät: | , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2024-01-01
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| Sarja: | Data |
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| Linkit: | https://www.mdpi.com/2306-5729/9/1/14 |
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