N. Cavalagli

Time-Series Forecasting of Structural Temperature in Heritage Buildings Using Regression and Deep Learning Approaches

Waqas Qayyum, N. Cavalagli, E. García-Macías, F. Ubertini

Accurate prediction of the structural temperature field is crucial for the static and dynamic monitoring of engineering structures, with particular significance for heritage buildings where material preservation is paramount. The complex, time-lagged, and non-linear relationship…Read more