Jh3.pdf
"Deep Learning in Hydrology and Water Resources Disciplines" explores utilizing data augmentation techniques, such as generating new training samples through image flipping, to improve model robustness. The study also reviews the application of CNN and RNN architectures for addressing complex water management challenges. For more details, visit jlakes.org . Deep Learning in Hydrology and Water Resources Disciplines
