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DiffTab: An improved denoising diffusion probabilistic model for generating acidic wastewater sulfidation continuous tabular data
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DOI：10.1016/j.jwpe.2025.108273.png)
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Abstract
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• Develop a DiffTab model to generate acidic wastewater sulfidation continuous data • Design a crisscross-self attention mechanism to extract spatiotemporal features • An evaluation metric is designed based on the Gaussian Mixture Model. • The proposed evaluation metric applies to sequences of varying lengths.
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