A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
In an increasingly interconnected world, understanding the behavior and structure of complex networks has become essential across disciplines. These ...
Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...
Abstract: Human action recognition (HAR) has benefited significantly from the application of graph convolutional networks (GCNs), which model the topological relationships between joints. In the ...
Abstract: A multibranch adaptive graph convolutional network is proposed for human action recognition by combining graph convolutional networks (GCNs), adaptive learning, and multibranch feature ...