How do we measure chaos and why would we want to? Together, Penn engineers Dani S. Bassett, J. Peter Skirkanich Professor in Bioengineering and in Electrical and Systems Engineering, and postdoctoral ...
Researchers trained an interpretable XGBoost model on biomechanical data from 204 male athletes to predict peak ACL force ...
Using data from historic ship measurements and Argo floats, researchers introduced a machine learning technique that improves assessment and analysis of the ocean's declining oxygen levels. Oxygen is ...
Please provide your email address to receive an email when new articles are posted on . A noninvasive sensor may measure glucose values by using dielectric spectroscopy to scan radiofrequencies.
Interpretable machine-learning models trained on acute-phase nerve conduction data from 99 Korean patients showed preliminary ...
A Gaussian linear regression model of US county-level data found breast cancer mortality risk highest among African American individuals and those in rural, high-ADI counties. Are you aware of how ...
Georgia Tech researchers introduced a groundbreaking machine learning technique to improve the assessment and analysis of declining oxygen levels in the ocean. Using data from Argo floats (pictured) ...
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