U-Shaped Hybrid AI Outperforms Rivals at Predicting Dangerous River Flood Peaks
A new deep learning framework for river flow forecasting puts flood peaks, uncertainty, and interpretability at the center of model ...
A new deep learning framework for river flow forecasting puts flood peaks, uncertainty, and interpretability at the center of model ...
A deep learning model from MD Anderson analyzes routine pretreatment chest CT scans to predict which lung cancer patients will ...
A hybrid quantum-classical neural network with deep spatial attention has achieved 92.38 percent leakage-free accuracy in classifying skin lesions on ...
Chinese researchers have unveiled a lightweight hierarchical deep learning framework that matches or beats state-of-the-art cross-domain few-shot learning methods while ...
Researchers at CSIR-CCMB have developed DeNAT, a deep-learning tool that measures neurite regrowth after spinal cord injury with near-perfect agreement ...
Researchers have combined discrete event modeling with recurrent neural networks to build a computationally efficient fault diagnosis framework, validated on ...
A new dual-branch deep learning framework called CrossBranch improves the estimation of cell-type composition from bulk, proteomic, and spatial omics ...
Researchers have developed an AI framework that automatically segments 19 torso muscles and two fat compartments in CT scans and ...
Researchers in China have developed OzoneKBNet, a retrieval-augmented AI framework that mines historical pollution episodes to deliver more accurate 48-hour ...
A year-long study of a rural Spanish energy community found that simple machine learning models statistically outperformed deep learning at ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine