Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...
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Lightweight framework enables faster, more accurate object detection for UAV remote sensing
Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Researchers at the University of Waterloo have developed a better way to enhance the clarity and detail of eye images used to diagnose disease by teaching artificial intelligence (AI) software the ...
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Compact camera uses 25 color channels for high-speed, high-definition hyperspectral video
A traditional digital camera splits an image into three channels—red, green and blue—mirroring how the human eye perceives ...
A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...
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