Seismic Vulnerability of Ancient Colonnade
Vasilis Sarhosis(University of Leeds), Panagiotis G. Asteris(School of Pedagogical and Technological Education), Gian Piero Lignola(University of Naples Federico II)
Advances in civil and industrial engineering book series
January 1, 2015
Cited by 12
Related Papers
Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
|Cement and Concrete Research|2021|668
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
|Neural Computing and Applications|2020|456
Concrete compressive strength using artificial neural networks
|Neural Computing and Applications|2019|432
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model
|Engineering With Computers|2020|349
Mathematical Macromodeling of Infilled Frames: State of the Art
|Journal of Structural Engineering|2011|329