Hybrid AI model finds balanced mix for marine coral concrete
A response-surface-guided neural network predicted a balanced silica-fume and nano-silica formulation for coral aggregate concrete, reducing prediction error without additional ...
A response-surface-guided neural network predicted a balanced silica-fume and nano-silica formulation for coral aggregate concrete, reducing prediction error without additional ...
EfficientNet-B0 classified six pavement-image categories with 89.8% accuracy on the study dataset, outperforming ResNet50 and supporting a derived road-condition index.
Researchers in China converted well logs into images and used an attention-enhanced convolutional neural network to identify volcanic lithologies in ...
A new transfer learning framework measures cultural distance between audiences and uses it to rewrite film, tourism, and heritage content ...
A controlled study of four frontier chatbots building helmet-detection models finds that the most detailed prompts can trigger catastrophic training ...
Alzheimer's disease affects tens of millions of people worldwide, and the World Health Organization estimates that over 55 million people ...
A hybrid model pairing a ConvNeXt backbone with a Kolmogorov–Arnold Network head reaches 94.5 percent accuracy in four-way Alzheimer's staging ...
A convolutional neural network trained on rigorous European in situ radiometry now retrieves 13 phytoplankton pigments from Sentinel-3 OLCI, with ...
Every dyed fabric tells a story of slow defeat. Sunlight, moisture, and heat conspire to break the chemical bonds that ...
Researchers have built a modified dual-task DenseNet121 that classifies brain tumors from MRI scans with over 99 percent accuracy while ...
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© 2025 Scienmag - Science Magazine