Search Results for author:
Found 5 papers, 0 papers with code
Targeted Hardening of Electric Distribution System for Enhanced Resilience against Earthquakes
Based on the distribution network topology and the locations of essential loads, various hardware hardening strategies are determined within the proposed framework.
Automated Translation of Rebar Information from GPR Data into As-Built BIM: A Deep Learning-based Approach
Building Information Modeling (BIM) is increasingly used in the construction industry, but existing studies often ignore embedded rebars.
Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference
A practical approach is to sample the most informative buildings in a sequential learning scheme.
An Innovative Approach to Determine Rebar Depth and Size by Comparing GPR Data with a Theoretical Database
However, due to the difficulty in extracting signals from GPR data and the intrinsic coupling between the rebar depth and size showing in the data, simultaneously determining rebar depth and size is challenging.
e-Distance Weighted Support Vector Regression
We propose a novel support vector regression approach called e-Distance Weighted Support Vector Regression (e-DWSVR). e-DWSVR specifically addresses two challenging issues in support vector regression: first, the process of noisy data; second, how to deal with the situation when the distribution of boundary data is different from that of the overall data.
