New AI Network Tackles Missing Data in Spatio-Temporal Forecasting
Researchers in Hangzhou have developed MGCRN, a graph-based recurrent neural network that maintains high forecasting accuracy on spatio-temporal data even ...
Researchers in Hangzhou have developed MGCRN, a graph-based recurrent neural network that maintains high forecasting accuracy on spatio-temporal data even ...
A new 3D convolutional neural network called COV-DSNet stages COVID-19 patients as progressing or remitting from chest CT scans and ...
Researchers at Linyi University have combined wavelet decomposition with denoising diffusion models to forecast urban traffic flow more accurately across ...
A new Machine Learning study extends the theory of adversarial training beyond Lipschitz continuity, deriving generalization and optimization guarantees under ...
Researchers at Fuzhou University have developed RCGELM-AE, a graph embedding model that trains in closed form without gradient descent while ...
Researchers in Istanbul developed a ResNet50-based deep learning system that scores preclinical dental soap carvings on ten morphological criteria, achieving ...
Researchers in China have developed WEM-Mamba, a wavelet-enhanced state space model that classifies rotator cuff tears from plain shoulder X-rays ...
Researchers have developed a federated deep learning framework that detects financial fraud across banks with high accuracy while keeping all ...
A 2024 study claiming high-accuracy deep learning detection of ovarian cancer was retracted after its ultrasound dataset was found to ...
A new review argues that transmitting meaning instead of raw bits could keep future wireless networks reliable even in extreme ...
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© 2025 Scienmag - Science Magazine