NA answer to this question will not be perceived well by the reviewers.

This energy usage is comparable to that of around 180,000 U.S. households, each

From the perspective of statistical learning theory, (1) is rather intriguing. Moreover, they do not provide instance-wise matching lower bounds to verify the tightness of the upper bounds.

These SISR methods have been successfully applied to photo-realistic images due partly to the abundance of publicly available datasets. In contrast, the lack of publicly available data partly limits their application and success in scanning confocal microscopy.

Riemannian neural networks, which extend deep learning techniques to Riemannian spaces, have gained significant attention in machine learning.