Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, enabling researchers to process large volumes of environmental data and satellite ...
BEIJING -- A team of Chinese scientists has unveiled a high-resolution atlas detailing the global distribution of lunar surface chemistry, a significant advance that fills a critical data gap in the ...
Abstract: In recent years, deep neural networks, including convolutional neural networks (CNNs), Transformers, and State-Space Models, have achieved significant progress in remote sensing image (RSI) ...
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