APA (7th ed.) Citation

Migaybil, H. H., & Gopaluni, B. (2025). Advancing predictive modeling in conventional solar stills: A deep learning approach leveraging data augmentation and convolutional neural networks. Energy conversion and management, 346, 120565. https://doi.org/10.1016/j.enconman.2025.120565

Chicago Style (17th ed.) Citation

Migaybil, Hashim H., and Bhushan Gopaluni. "Advancing Predictive Modeling in Conventional Solar Stills: A Deep Learning Approach Leveraging Data Augmentation and Convolutional Neural Networks." Energy Conversion and Management 346 (2025): 120565. https://doi.org/10.1016/j.enconman.2025.120565.

MLA (9th ed.) Citation

Migaybil, Hashim H., and Bhushan Gopaluni. "Advancing Predictive Modeling in Conventional Solar Stills: A Deep Learning Approach Leveraging Data Augmentation and Convolutional Neural Networks." Energy Conversion and Management, vol. 346, 2025, p. 120565, https://doi.org/10.1016/j.enconman.2025.120565.