To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …

Structural health monitoring (SHM) systems in civil engineering structures have been a
growing focus of research and practice. Over the last few decades, optical fibre sensor (OFS) …

The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT)
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …

This study utilizes the support vector regression (SVR) model to predict the tunnel crown
displacement (TCD) induced by the blasting excavation. 95 blasting operations considering …

This comprehensive review focuses on the integration of intelligent technologies, such as
the Internet of Things (IoT), Artificial intelligence (AI), and Nondestructive Testing (NDT), in …

Cracks in concrete can cause the degradation of stiffness, bearing capacity and durability of
civil infrastructure. Hence, crack diagnosis is of great importance in concrete research. On …

Abstract Harris Hawks Optimization (HHO) is a population-based meta-heuristic optimization
algorithm that has been used for the solution of test functions and real-world problems by …

In recent years, civil engineering has increasingly embraced communication tools for
automation, with sensors playing a pivotal role, especially in structural health monitoring …

Increasing demand for human-computer interaction applications has escalated the need for
automatic emotion recognition as emotions are essential for natural communication. There …

The inverse finite element method (iFEM) is a mechanics-based algorithm for deformed-
shape estimation of structures. In this paper, an enhanced inverse beam element named …