Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
IEEE

Converted State Gaussian Mixture Probability Hypothesis Density Filter for Nonlinear Multi-Target Tracking

Abstract: The Gaussian mixture probability hypothesis density (GM-PHD) filter is a popular approach in solving multiple-target tracking (MTT) due to its excellent target tracking performance, such as ...
IEEE

Modified Unscented Kalman Filter Considering Maximum Point of Probability Density Function

Abstract: The unscented Kalman filter (UKF) has demonstrated its effectiveness for state estimation in highly nonlinear systems over the past two decades. However, the UKF's assumption of a single ...