In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the "classification problem" describes the mapping from inputs to category labels, ...

Abstract: This study presents a deep learning (DL)-based approach to the seismic velocity inversion problem, focusing on both noisy and noiseless training datasets of varying sizes. Our seismic ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Add a description, image, and links to the encoder-decoder-architecture topic page so that developers can more easily learn about it.

Abstract: Dental caries is a prevalent bacterial infection, and its early and accurate detection is essential for preventing irreversible damage to dental structures. Cone-beam computed tomography ...

This study presents valuable computational findings on the neural basis of learning new motor memories and the savings using recurrent neural networks. The evidence supporting the claims of the ...

First, thank you for your great work – it's very valuable to me. I encountered an error while modifying the test in example/basic/4_switchkey_methods_ckks.cu. My ...