Recent developments in artificial intelligence (AI), in particular machine learning (ML), have
been significantly advancing smart city applications. Smart infrastructure, which is an …

Real-time health monitoring of civil infrastructures is performed to maintain their structural
integrity, sustainability, and serviceability for a longer time. With smart electronics and …

Abstract Structural Health Monitoring has become a hot topic in recent decades as it
provides engineers with sufficient information regarding the damages on civil infrastructure …

Improvements in computing capacity have allowed computers today to execute increasingly
complex tasks. One of the main benefits of these improvements is the possibility of …

Health inspection of public structures is intended to detect incipient damage at an initial
stage in order to improve maintenance. Artificial intelligence alludes to the part of computer …

In recent years, structural health monitoring (SHM) applications have significantly been
enhanced, driven by advancements in artificial intelligence (AI) and machine learning (ML) …

Structural health monitoring (SHM) is an emerging technology designed to automate the
inspection process undertaken to assess the health condition of structures. The SHM …

Recently, many different techniques for health monitoring of structure are developed with
aim of monitoring the stability of structure with high accuracy and low cost. Nowadays, by …

Data-driven approaches are gaining popularity in structural health monitoring (SHM) due to
recent technological advances in sensors, high-speed Internet and cloud computing. Since …

Damage detection is an important area with growing interest in mechanical and structural
engineering. One of the critical issues in damage detection is how to determine indices …