Machine learning models trained on hydrochemical data from nineteen stations in Odisha's Mahanadi River Basin indicate that ...
Instruction tuning uses examples of instructions and desired responses to make a pretrained model more useful, controllable, ...
Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...
A machine learning model combining CT radiomics with clinical variables predicted spontaneous ureteral stone passage within ...
A new hybrid quantum network flags suspicious accounts with fewer false alarms, improving trade surveillance analytics.
Flow matching trains a continuous velocity field that transports samples from a simple distribution to a data distribution ...
Identifying the neurobiological basis of cognitive vulnerability is essential for preventing Alzheimer’s disease (AD). We ...
Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified ...
B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...
Dryness, irritation, burning, light sensitivity, and fluctuating vision are common concerns for people with Sjögren's syndrome. This systemic ...
Laboratory of Neural Computation, Institute for Quantitative Biosciences, the University of Tokyo, Tokyo, Japan Department of Life Sciences, Graduate School of Arts and Sciences, the University of ...
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