Global Modelling of SHM Data

This seminar followed up on the progress of the Global TAGI-LSTM. Specifically, I compared the forecasting capability of the local model with the global model with and without embeddings, on a dataset of 127 time series made up of detrended real SHM data.

I also discussed the next steps of using Global TAGI-LSTM with SKF for anomaly detection.

Source: CIV-ML’s Seminars