Machine-Learning-Based Real-Time Trajectory Prediction of Store Release from Cavity
A data-driven reduced-order model (ROM) capable of accurately predicting the real-time trajectory of a store released from an internal cavity is developed and shows significant promise for efficiently predicting store trajectories, making it a viable solution for real-time analysis in defense and aerospace applications...