AI Learns to Spot 33 Bacterial Species From Microscope Images in a Fraction of a Second
Researchers in India have built a lightweight, attention-guided deep learning model that classifies 33 bacterial species from Gram-stained microscope images ...
Researchers in India have built a lightweight, attention-guided deep learning model that classifies 33 bacterial species from Gram-stained microscope images ...
Researchers have developed SkinEnsemNet, an ensemble deep learning framework combining VGG16, DenseNet201, and EfficientNetB0 that achieves up to 98.85 percent ...
Researchers combined a vision transformer with a convolutional network and tuned the pair using whale- and swarm-inspired algorithms, reaching 96.27 ...
Researchers at Shahid Chamran University of Ahvaz have built a compact EfficientNet-inspired neural network that classifies music genres from spectrogram ...
Researchers in India have developed a generative adversarial framework that synthesizes realistic radar micro-Doppler spectrograms, lifting human activity recognition accuracy ...
A new federated learning framework lets hospitals train chest X-ray diagnostic AI collaboratively without sharing patient data, and it outperforms ...
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© 2025 Scienmag - Science Magazine