While the study achieves remarkable prediction accuracy, the dataset’s size (18 experimental samples) raises concerns about overfitting and the generalizability of the hybrid model. Could the authors clarify how they validated the robustness of their model against such a small dataset? Furthermore, Figure 14 highlights improved prediction accuracy of the hybrid model, but there is limited discussion about potential biases introduced by WGAN-generated samples. How was the similarity between generated and real data assessed to ensure meaningful augmentation?
