most citedTransformer self-attention encoder-decoder with multimodal deep learning for response time series forecasting and digital twin support in wind structural health monitoring

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2026★ 2 cited

Transformer self-attention encoder-decoder with multimodal deep learning for response time series forecasting and digital twin support in wind structural health monitoring

Feiyu Zhou, Marios Impraimakis

The wind-induced structural response forecasting capabilities of a novel transformer methodology are examined here. The model also provides a digital twin component for bridge stru…

eess.SP2026

An Information-Theoretic Method for Dynamic System Identification With Output-Only Damping Estimation

Marios Impraimakis, Feiyu Zhou, Andrew Plummer

The system identification capabilities of a novel information-theoretic method are examined here. Specifically, this work uses information-theoretic metrics and vibration-based mea…