Deep Learning Model Spots Ionospheric Plasma Bubbles With Unmatched Accuracy
A Huazhong Agricultural University team has developed IncResUnet, a deep learning model that detects ionospheric plasma bubbles far more reliably ...
A Huazhong Agricultural University team has developed IncResUnet, a deep learning model that detects ionospheric plasma bubbles far more reliably ...
A transformer-based machine learning model can detect and even predict diffuse cerebral edema in cardiac arrest survivors from routine EEG ...
Researchers have developed a semi-supervised deep learning method that automatically detects and vectorizes faults and geological boundaries on archived scanned ...
The first comprehensive survey of document shadow removal catalogs nine datasets and 41 studies, mapping the field's evolution from physics-based ...
By mapping 9.1 million buildings with satellite data and deep learning, researchers have reconstructed nearly four decades of Malaysia's sand ...
Researchers in Vietnam show that multimodal intrusion detection systems hardened with adversarial training can resist transferable adversarial examples generated by ...
A systematic benchmark of classical, transformer-based and foundation AI models finds that a hybrid CNN-foundation-transformer architecture more than doubles the ...
A new systematic review and meta-analysis finds AI classifiers achieve high specificity for immature white blood cell subtypes in acute ...
Researchers at Hefei University have developed AMCF, a multimodal AI model that combines bidirectional text-image attention with dual-branch gated fusion ...
A multicenter study reports that an ensemble deep learning model called LMRNet can predict lymph node metastasis in early gastric ...
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© 2025 Scienmag - Science Magazine