Hybrid AI Model Reads Hyperspectral Images With Fewer Labels and Less Compute
Egyptian researchers have built a hybrid Vision Transformer and CNN framework with spectral band selection that outperforms few-shot learning methods ...
Egyptian researchers have built a hybrid Vision Transformer and CNN framework with spectral band selection that outperforms few-shot learning methods ...
A new study combining CMIP6 rainfall projections with deep learning shows that high landslide susceptibility zones in China's Qinling Mountains ...
Researchers converted millions of LendingClub loan records into structure-aware grayscale images and showed that a hybrid convolutional neural network and ...
Researchers have developed a dual-stream convolutional neural network that fuses RGB imagery with vectorized Error Level Analysis and CBAM attention ...
Researchers have built a lightweight AI system that detects epileptic seizures in EEG recordings from patients it has never seen, ...
A machine learning framework in Sydney produced highly accurate 30-metre air temperature maps and proved transferable to data-sparse cities.
A machine-learning analysis of more than 900 snow penetration profiles in the Weddell Sea shows that Antarctic sea ice snowpacks ...
Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric vehicle drive systems with ...
Using EarthCARE's collocated lidar, radar and imager combined with GOES tracking, researchers show that rain and microphysical changes build up ...
A new PLOS Digital Health study shows that machine learning models trained on a 15-item questionnaire can screen adults for ...
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© 2025 Scienmag - Science Magazine