APA (7th ed.) Citation

Majidiyan, H., Enshaei, H., Howe, D., & Gubesch, E. Part A: Innovative Data Augmentation Approach to Enhance Machine Learning Efficiency—Case Study for Hydrodynamic Purposes. MDPI AG.

Chicago Style (17th ed.) Citation

Majidiyan, Hamed, Hossein Enshaei, Damon Howe, and Eric Gubesch. Part A: Innovative Data Augmentation Approach to Enhance Machine Learning Efficiency—Case Study for Hydrodynamic Purposes. MDPI AG.

MLA (9th ed.) Citation

Majidiyan, Hamed, et al. Part A: Innovative Data Augmentation Approach to Enhance Machine Learning Efficiency—Case Study for Hydrodynamic Purposes. MDPI AG.

Warning: These citations may not always be 100% accurate.