New Paper is Published!

An adapted LSTM-DRRNet approach for predicting floor acceleration response spectrum

Working with Dr. Jianze Wang’s lab at Sichuan University, we have published a paper that presents a deep-learning based approach to predict floor response spectrum, which is an essential element in non-structural component design. This link provides the free access to the paper before October 26, 2023.

Xingquan Guan
Xingquan Guan
Lead Data Scientist

A data scientist, researcher, and engineer.