BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...
Researchers have developed a novel deep-learning architecture that generates high-quality synthetic images of rare land covers to eliminate bias and drastically improve the accuracy of environmental ...
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 .
AZoRobotics on MSN
AI-Powered Solar Robot Detects Crop Diseases in Real Time
This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable ...
Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results