most citedProbabilistic Model Updating of Steel Frame Structures Using Strain and Acceleration Measurements: A Multitask Learning Framework

12 citations · 12 across the 1 of their papers we have counts for

collaborators

1 paper

stat.AP2024★ 12 cited

Probabilistic Model Updating of Steel Frame Structures Using Strain and Acceleration Measurements: A Multitask Learning Framework

Taro Yaoyama, Tatsuya Itoi, Jun Iyama

This paper proposes a multitask learning framework for probabilistic model updating by jointly using strain and acceleration measurements. This framework can enhance the structural…