Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

Regular inspection and monitoring of buildings and infrastructure, that is collectively called
the built environment in this paper, is critical. The built environment includes commercial and …

Structural health monitoring (SHM) is used worldwide for managing and maintaining civil
infrastructures. SHM systems have produced huge amounts of data, but the effective …

This study conducts crack identification from real-world images containing complicated
disturbance information (cracks, handwriting scripts, and background) inside steel box …

This paper proposed a modified faster region‐based convolutional neural network (faster R‐
CNN) for the multitype seismic damage identification and localization (ie, concrete cracking …

This paper proposes an identification framework based on a restricted Boltzmann machine
(RBM) for crack identification and extraction from images containing cracks and complicated …

This paper aims to review high-dimensional data analytic (HDDA) methods for structural
health monitoring (SHM) and non-destructive evaluation (NDE) applications. High …

A review of theoretical concepts and diverse applications of sparse representations and
compressive sampling (CS) approaches in engineering mechanics problems is provided …

This paper presents a new paradigm of explicitly modeling and harnessing the data
structure to address the inverse problems in structural dynamics, identification, and data …

In the field of structural health monitoring (SHM), the sensor measurement signals collected
from the structure are the foundation and key of the SHM system. However, the loss of …