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Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

But, will any smart scale do the trick? Technically yes, but ultimately no. During our testing we found a number of manufacturers who might as well have just slapped "smart" on the boxes of their old ...

Abstract: For pursuing accurate skeleton-based action recognition, many existing graph-based approaches deploy the higher-order polynomials of the skeletal adjacency matrix to model the node ...

Abstract: Graph convolutional networks (GCNs) exhibit remarkable capabilities in hyperspectral image (HSI) classification tasks, primarily due to their ability to establish long-range pixel ...

Traffic forecasting is a fundamental aspect of smart city management, essential for improving transportation planning and resource allocation. With the rapid advancement of deep learning, complex ...

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