APA (7th ed.) Citation

Woldesellasse, H., & Tesfamariam, S. (2024). Data augmentation using conditional generative adversarial network (cGAN): Applications for sewer condition classification and testing using different machine learning techniques. Journal of hydroinformatics, 26(7), 1471-1489. https://doi.org/10.2166/hydro.2024.135

Chicago Style (17th ed.) Citation

Woldesellasse, Haile, and Solomon Tesfamariam. "Data Augmentation Using Conditional Generative Adversarial Network (cGAN): Applications for Sewer Condition Classification and Testing Using Different Machine Learning Techniques." Journal of Hydroinformatics 26, no. 7 (2024): 1471-1489. https://doi.org/10.2166/hydro.2024.135.

MLA (9th ed.) Citation

Woldesellasse, Haile, and Solomon Tesfamariam. "Data Augmentation Using Conditional Generative Adversarial Network (cGAN): Applications for Sewer Condition Classification and Testing Using Different Machine Learning Techniques." Journal of Hydroinformatics, vol. 26, no. 7, 2024, pp. 1471-1489, https://doi.org/10.2166/hydro.2024.135.