Adaptive Fusion Network Tackles Noisy Text Classification With Divergence-Guided Design
Researchers in Morocco have developed IACAN, a deep learning architecture that dynamically balances convolutional and attention branches using KL divergence ...
Researchers in Morocco have developed IACAN, a deep learning architecture that dynamically balances convolutional and attention branches using KL divergence ...
A new multi-branch deep learning model fusing satellite, weather, soil and extreme climate data predicts winter wheat yields in China ...
Researchers in China developed an acoustic estrus-detection system for dairy cows that compresses continuous barn audio 173-fold while achieving 98.99 ...
A compact convolutional neural network developed by Indian researchers outperforms standard machine learning for Cherenkov telescope gamma-ray classification while training ...
Researchers at the National Cancer Institute have unveiled TMA-Grid, an open-source, zero-footprint web application that combines a convolutional neural network ...
Researchers at Sun Yat-sen University developed an adaptive deep reinforcement learning guidance method that lets a target spacecraft and its ...
Canadian researchers combined surface-enhanced Raman spectroscopy with deep learning to predict cysteine levels across twenty pea cultivars, achieving strong results ...
Researchers have created a color-changing fluorescent tag combined with a convolutional neural network that classifies seafood freshness with over 98 ...
Researchers in China have developed a Transformer-CNN deep learning framework that segments and grades gastric intestinal metaplasia in whole slide ...
Researchers in India have developed a hybrid convolutional neural network and vision transformer that fuses text, speech, video and physiological ...
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© 2026 Scienmag - Science Magazine