no code implementations • 29 Oct 2021 • Mahan Fakouri Fard, Mostafa Sahraei-Ardakani, Ge Ou, Mingxi Liu
Based on the distribution network topology and the locations of essential loads, various hardware hardening strategies are determined within the proposed framework.
no code implementations • 28 Oct 2021 • Zhongming Xiang, Ge Ou, Abbas Rashidi
Building Information Modeling (BIM) is increasingly used in the construction industry, but existing studies often ignore embedded rebars.
no code implementations • 24 May 2021 • Mohamadreza Sheibani, Ge Ou
A practical approach is to sample the most informative buildings in a sequential learning scheme.
no code implementations • 19 May 2020 • Zhongming Xiang, Ge Ou, Abbas Rashidi
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.
no code implementations • 21 Jul 2016 • Yan Wang, Ge Ou, Wei Pang, Lan Huang, George Macleod Coghill
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.