When discussing learning transfer—the ability to apply previous knowledge, skills, and strategies to new contexts or situations—we should also be mindful of our learners’ cognitive load. Cognitive ...
Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...
The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...
Singapore researchers show how adapting pre-trained AI models can solve data scarcity issues in countries with limited ...
Between January 2004 and June 2021, 2,677 patients with 12,255 CT reports and 670 patients with 3,058 CT reports were allocated to training and internal testing data sets, respectively. ClinicalBERT ...
Neural networks trained with a camouflage detection step show enhanced accuracy and sensitivity in identifying brain tumors from MRI scans, mimicking expert radiologists. Study: Deep learning and ...
A new episode digs into one of the knottier problems in higher education: how learning is recognized across institutions. We often call this transfer of credit, but “learning mobility” is broader than ...
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