Lightweight AI Network Reconstructs High-Resolution Images Under One Million Parameters
A new hierarchical feature attention network reconstructs high-resolution images from low-resolution inputs while keeping the model below one million parameters.
Tag: neural networks
AI Trained on Synthetic Radar Images Cleans Weather Data Better Than Operational Method
A U-net trained entirely on synthetic radar images outperforms the operational clutter-filtering method used by Deutscher Wetterdienst on expert-labeled test ...
Radial Basis Function Network Outperforms Deep Learning Rivals in Predicting CO2 Emissions Across RCEP Economies
A Radial Basis Function network achieved the strongest performance among fifteen AI models used to predict CO2 emissions across 15 ...
Deep learning review maps how AI forecasts renewable energy
A systematic review in Neural Computing and Applications surveys deep learning and hybrid neural models used to forecast renewable energy ...
Greedy Deep Kernel Method Outperforms Neural Networks in Approximation Tests
Researchers combined greedy kernel interpolation with trainable deep kernels and found the resulting models matched or beat neural networks in ...
AI Shows Promise for Predicting Gum Disease and Tooth Loss, but Is Not Ready for the Clinic
A scoping review of eight studies finds AI models predicting periodontal disease progression and tooth loss perform moderately to highly ...
Kernel methods join the Deep Ritz method with new error guarantees
A new open-access paper proves a priori error estimates for kernel methods used as ansatz functions within the Deep Ritz ...
AI Learns to Hide Patient Fingerprints Hidden in Raman Spectra of Brain Tumors
An adversarial deep learning framework reduced patient-identity predictability in glioma Raman spectra from 68 percent to 12 percent while preserving ...
Machine learning predicts high-speed train ground vibration in seconds
A neural network trained on semi-analytical simulations and field measurements predicted elevated-track ground vibration with a maximum reported relative deviation ...
SCSNet Improves Early Rumor Detection Across Unseen Events
SCSNet weighted early replies by estimated contribution and used gated stage-wise updates to improve rumor detection within 10 to 30 ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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