Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...
title [Paper Note] CD-DPE: Dual-Prompt Expert Network Based on Convolutional Dictionary Feature Decoupling for Multi-Contrast MRI Super-Resolution description [AAAI 2026][Medical ...
Using logical clauses to represent patterns, Tsetlin machines (https://arxiv.org/abs/1804.01508) have obtained competitive performance in terms of accuracy, memory ...
Abstract: With the successful development of deep learning, single image super-resolution (SISR) has advanced significantly in recent years. However, in practice, excessive convolutions limit ...
Multi-modal learning is widely adopted to learn the latent complementary information between different modalities in multi-modal medical image segmentation tasks. Nevertheless, the traditional ...
The currency market is one of the most important financial markets in the world. The exchange rate movement has effect on international trade and capital flow. This study presents a forecasting method ...
CoAtNets combines convolutional and attention models to enhance performance in deep learning tasks. This hybrid model has demonstrated state-of-the-art results in image classification, particularly on ...
College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China ...
Abstract: In industrial processes, data-driven soft sensors have played an important role for the effective process control, optimization, and monitoring. Deep learning technique has been widely used ...
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