Tiger and Fox Algorithms Team Up to Sharpen Battery Forecasts for Flying Taxis
Researchers in India have combined a Siberia Tiger Optimisation and a Polar Fox Optimization to tune an LSTM network that ...
Researchers in India have combined a Siberia Tiger Optimisation and a Polar Fox Optimization to tune an LSTM network that ...
Researchers have developed a vertical federated deep learning framework using a binary manta ray optimization algorithm that selects cancer-related genes ...
Researchers developed a lightweight CNN-LSTM model that detects deepfake videos with high accuracy on standard hardware.
Researchers in India have developed a graph neural network framework called TADGLN-LSTM that quantifies how individual scientists' research topics drift ...
Researchers have developed a compact optimized convolutional neural network framework that classifies multiple lung diseases from CT and chest X-ray ...
Deep learning models have reconstructed 70 years of temperature and precipitation across Italy on a 10 km grid, revealing persistent ...
A new event-based machine learning approach reframes vineyard mildew forecasting as the prediction of disease-risk episodes rather than daily status ...
Researchers have developed TamperNet, a hybrid spatio-temporal deep learning framework that detects frame duplication, deletion, cloning, splicing, and inpainting in ...
A transformer-based machine learning model can detect and even predict diffuse cerebral edema in cardiac arrest survivors from routine EEG ...
A systematic benchmark of classical, transformer-based and foundation AI models finds that a hybrid CNN-foundation-transformer architecture more than doubles the ...
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© 2026 Scienmag - Science Magazine