Abstract: This research article aims to analyze learner performance data from virtual reality environments developed with Unity using machine learning algorithms such as K-Means, Support Vector ...
Cedars-Sinai Health Sciences University investigators and colleagues created an algorithm designed to use data on sudden ...
Abstract: High-frequency induction logging is a crucial technique in subsurface exploration, particularly in the oil and gas industry. It involves transmitting electromagnetic signals into the ground ...
This package provides a complete, high-performance Python implementation of the Expectation-Maximization algorithm for fitting two-state models of motor learning. The implementation uses Numba JIT ...
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