Learning to Simulate Unseen Physical Systems with Graph Neural Networks

no code implementations • NeurIPS Workshop AI4Scien 2021 • Ce Yang, Weihao Gao, Di wu, Chong Wang

Simulation of the dynamics of physical systems is essential to the development of both science and engineering.

Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat

no code implementations • 23 Jun 2019 • Ali Moghimi, Ce Yang, James A. Anderson

The coefficient of determination for predicting the yield of the test dataset at sub-plot scale was 0. 79 with root mean square error of 5. 90 grams.