Deep learning hits 97% accuracy on satellite benchmarks, review finds
A systematic review finds deep learning exceeds 97 percent accuracy on remote sensing benchmarks but struggles with generalization, spectral exploitation ...
A systematic review finds deep learning exceeds 97 percent accuracy on remote sensing benchmarks but struggles with generalization, spectral exploitation ...
A Radial Basis Function network achieved the strongest performance among fifteen AI models used to predict CO2 emissions across 15 ...
A systematic review in Neural Computing and Applications surveys deep learning and hybrid neural models used to forecast renewable energy ...
A ResNeXt101-UNet deep learning model segments ten mineral phases in petrographic thin sections, reaching a weighted F1-score of 0.863 over ...
A systematic review finds that deep learning on liver MRI reaches pooled sensitivity of 0.862 and specificity of 0.916 for ...
A hybrid deep learning framework that combines ant colony optimization with a spatio-temporal variational autoencoder recognized nine opera teaching postures ...
A controlled study of 3,600 runs finds normalization schemes help mainly at shallow depths while graph homophily predicts how accuracy ...
Deep learning models trained on pre-procedural ultrasound videos predicted the success of transcatheter mitral valve edge-to-edge repair with an AUC ...
A new study from Bahawalpur, Pakistan, finds that transformer models, led by the Swin Transformer, classify cotton leaf diseases more ...
A physics-aware, uncertainty-guided deep learning surrogate has been shown to replace expensive circuit simulations when optimizing ultra-low-power amplifiers for biosignal ...
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© 2025 Scienmag - Science Magazine