67 citations · 128 across the 4 of their papers we have counts for
4 papers
LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data
Zhicheng Chen, Yuequan Bao, Hui Li +1
Data loss is a critical problem in structural health monitoring (SHM). Probability distributions play a highly important role in many applications. Improving the quality of distrib…
Towards Automated Post-Earthquake Inspections with Deep Learning-based Condition-Aware Models
Vedhus Hoskere, Yasutaka Narazaki, Tu A. Hoang +1
In the aftermath of an earthquake, rapid structural inspections are required to get citizens back in to their homes and offices in a safe and timely manner. These inspections gfare…
Automated Bridge Component Recognition using Video Data
Yasutaka Narazaki, Vedhus Hoskere, Tu A. Hoang +1
This paper investigates the automated recognition of structural bridge components using video data. Although understanding video data for structural inspections is straightforward…
Automated Vision-based Bridge Component Extraction Using Multiscale Convolutional Neural Networks
Yasutaka Narazaki, Vedhus Hoskere, Tu A. Hoang +1
Image data has a great potential of helping post-earthquake visual inspections of civil engineering structures due to the ease of data acquisition and the advantages in capturing v…