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 systematic review in Neural Computing and Applications surveys deep learning and hybrid neural models used to forecast renewable energy ...
A hybrid ResNet50 and Transformer model achieved 89.7 percent accuracy on the FER2013 facial emotion benchmark, with an ablation study ...
A Vision Transformer and a convolutional neural network identified Laguerre-Gaussian beam topological charges up to 50 from tiny speckle patches, ...
A transfer-learning framework using Inception-V3 with SGDM and Nesterov Accelerated Gradient classified five diabetic retinopathy severity classes on the APTOS ...
A dual-channel AI framework that fuses raw byte textures with statistical flow features achieved 98.74 percent accuracy on real urban ...
A systematic review of 120 papers finds deep learning DDoS detectors excel in experiments but struggle in real-world cloud environments, ...
UniLoopNet predicts enhancer–promoter, enhancer–enhancer, CTCF-mediated, and stripe-associated chromatin interactions from DNA sequence using a multi-task deep learning framework.
Pretrained convolutional neural networks classified biological sex from smartphone photographs of palatal rugae with up to 77 percent accuracy in ...
A customized VGG19 deep learning model trained on 2,100 chest X-rays from Ethiopian hospitals classified pneumonia and tuberculosis with 99% ...
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© 2026 Scienmag - Science Magazine