Advancing predictive modeling in conventional solar stills: a deep learning approach leveraging data augmentation and convolutional neural networks
Energy Conversion and Management, Vol. 346, pp. 120565,
Hasan H. Migaybil, R. Bhushan Gopaluni
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Abstract
This paper presents a deep learning approach for predictive modeling in conventional solar stills, leveraging data augmentation techniques and convolutional neural networks to enhance prediction accuracy.
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