APA (7th ed.) Citation

Siddique, M. F., Ahmad, Z., & Kim, J. (2023). Pipeline leak diagnosis based on leak-augmented scalograms and deep learning. Engineering applications of computational fluid mechanics, 17(1), . https://doi.org/10.1080/19942060.2023.2225577

Chicago Style (17th ed.) Citation

Siddique, Muhammad Farooq, Zahoor Ahmad, and Jong-Myon Kim. "Pipeline Leak Diagnosis Based on Leak-augmented Scalograms and Deep Learning." Engineering Applications of Computational Fluid Mechanics 17, no. 1 (2023). https://doi.org/10.1080/19942060.2023.2225577.

MLA (9th ed.) Citation

Siddique, Muhammad Farooq, et al. "Pipeline Leak Diagnosis Based on Leak-augmented Scalograms and Deep Learning." Engineering Applications of Computational Fluid Mechanics, vol. 17, no. 1, 2023, https://doi.org/10.1080/19942060.2023.2225577.