A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.
In today’s ACT Brief, we highlight how Bayesian methods are gaining operational traction, a major patient advocacy merger is streamlining clinical trial access, and machine learning is reshaping trial ...
Abstract: Encoderless algorithms for surface-mounted permanent magnet synchronous motors addresses the installation limitations of encoders in harsh or confined environments. However, existing ...
Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results