AZoSensors on MSN
Low-Power Sensor Node Brings Machine Learning to the Edge of Environmental Monitoring
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in response to pathogen exposure.
Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...
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