MDPI Aerospace paper on re-entry predictions using Machine Learning
The new paper published in MDPI Aerospace by Francesco Salmaso, Mirko Trisolini, and Camilla Colombo applies Deep Learning and Recurrent Neural Network to the prediction of the re-entry time of uncontrolled space objects.