Cargando…
A Transformer-Based Bridge Structural Response Prediction Framework
Structural response prediction with desirable accuracy is considerably essential for the health monitoring of bridges. However, it appears to be difficult in accurately extracting structural response features on account of complex on-site environment and noise disturbance, resulting in poor predicti...
Autores principales: | Li, Ziqi, Li, Dongsheng, Sun, Tianshu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9029556/ https://www.ncbi.nlm.nih.gov/pubmed/35459083 http://dx.doi.org/10.3390/s22083100 |
Ejemplares similares
-
A Transformer-Based Ensemble Framework for the Prediction of Protein–Protein Interaction Sites
por: Mou, Minjie, et al.
Publicado: (2023) -
A transformer-based deep learning framework to predict employee attrition
por: Li, Wenhui
Publicado: (2023) -
Framework for Structural Health Monitoring of Steel Bridges by Computer Vision
por: Marchewka, Adam, et al.
Publicado: (2020) -
Operational prediction of solar flares using a transformer-based framework
por: Abduallah, Yasser, et al.
Publicado: (2023) -
A Framework for Long-Term Vibration-Based Monitoring of Bridges
por: Erduran, Emrah, et al.
Publicado: (2021)