Attention-Powered AI Reads Landsat 9 to Map Soil Carbon With New Precision
Chinese researchers have developed an attention-based stacking ensemble that reads Landsat 9 imagery to predict soil organic carbon more accurately ...
Chinese researchers have developed an attention-based stacking ensemble that reads Landsat 9 imagery to predict soil organic carbon more accurately ...
Researchers have built the first spatial atlas of dermal backflow in breast cancer-related lymphedema from 282 patients and shown that ...
A two-center study shows that an MRI-based radiomics nomogram using a multilayer perceptron classifier can distinguish malignant from benign orbital ...
A new study combines neural network analysis of aeromagnetic derivatives with 3D magnetic inversion to map hidden fault corridors and ...
A network meta-analysis of 129 randomised controlled trials combined with machine learning finds interval aerobic training and combined aerobic-resistance programmes ...
A new study shows that lightweight transformer models can automatically classify the roles participants play in cyberbullying episodes, setting a ...
Researchers in New Delhi have built a hybrid deep learning framework combining improved SMOTE, swarm-based feature selection, and chaos-assisted metaheuristic ...
An AI-driven inverse-design framework has identified multiple distinct chemical vapour deposition recipes that grow carbon nanotube arrays with nearly identical ...
A population-based analysis of 7.19 million English adults with multiple long-term conditions reveals that AI mental health tools cover only ...
Researchers in China have developed an interpretable multimodal AI framework that predicts the research octane number of pure compounds and ...
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© 2025 Scienmag - Science Magazine