ControlNet Generates Attitude-Controlled Radar Images of Noncooperative Targets
Researchers at Central South University have developed a ControlNet-based method that generates radar images of noncooperative targets with precise control ...
Researchers at Central South University have developed a ControlNet-based method that generates radar images of noncooperative targets with precise control ...
Researchers in China have developed NAHFormer, a transformer-based segmentation framework using neighborhood attention and hierarchical feature fusion that outperforms state-of-the-art ...
Researchers have developed CADE, a lightweight semi-supervised AI framework that predicts and generates future satellite imagery with high accuracy and ...
A new deep learning system embeds the peak-end rule directly into its architecture, predicting how people will retrospectively judge emotional ...
Researchers have developed AVP-Pro, a two-stage deep learning framework that identifies antiviral peptides and predicts which virus families and specific ...
Researchers in Spain have created an AI system that detects large vessel occlusions on brain CT angiography and simultaneously identifies ...
A new baseline study shows that deep learning can learn meaningful microstructural information from severely imbalanced ultra-high carbon steel images, ...
A new survey in Artificial Intelligence Review unifies the four major attack vectors against voice authentication, finding that audio deepfakes ...
Researchers in India have developed a lightweight hybrid CNN-LSTM deep learning framework that detects cardiac arrhythmias from ECG signals with ...
A new mixture-of-experts vision-language model called RSFG-MoE is designed to deliver fine-grained, high-resolution interpretation of remote sensing imagery.
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© 2025 Scienmag - Science Magazine