BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
Huang, W. , Sun, K. and Weng, Z. (2026) Course Development for “The Robot World”: Cultivating Ethical Values within Technical Education. Creative Education, 17, 58-66. doi: 10.4236/ce.2026.171005 .
Surveying the Landscape Beyond the big-picture context provided by regional business leaders in the lead story on page 4, how ...
In a study published in Nature Biomedical Engineering, a team led by Prof. WANG Shanshan from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, along with Prof. ZHANG ...
An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes with 92% accuracy from one to three years after patients received cochlear ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92 % accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...
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