Abstract: The application of deep learning has significantly accelerated magnetic resonance imaging (MRI). However, these methods encounter substantial challenges when fully sampled datasets are ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Continuous learning doesn't rebuild detections. It tunes existing logic based on verified outcomes. The foundation (trained models, correlation rules, policy frameworks) stays intact. Feedback ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Abstract: Deep learning has advanced rapidly, but relies heavily on large-labeled datasets for effective training. This is particularly challenging in fields like ...
The number of Michigan K-12 students who need help learning English in school is on the rise, but data tracking growth in those language skills varies widely around the state. The Michigan Department ...
Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
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