most citedA Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 4 cited

A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction

Amin E. Bakhshipour, Alireza Koochali, Ulrich Dittmer +3

Despite various breakthroughs in machine learning and data analysis techniques for improving smart operation and management of urban water infrastructures, some key limitations obs…