The deployment cost of the structural health monitoring (SHM) system is the major argument
against the more widespread use of the structural health monitoring techniques …

In this paper we provide a broad survey of developments in active vision in robotic
applications over the last 15 years. With increasing demand for robotic automation, research …

Structural health monitoring plays an increasingly significant role in detecting damages for
large and complex structures to ensure their serviceability and sustainability. Optimal sensor …

A Rosenbrock artificial bee colony algorithm (RABC) that combines Rosenbrock's rotational
direction method with an artificial bee colony algorithm (ABC) is proposed for accurate …

A dynamic parameter inverse analysis process for concrete dams based on Gaussian
process regression and Jaya algorithm is presented. Gaussian process regression is used …

Optimal sensor placement (OSP) is essential for effective structural health monitoring (SHM).
More recently, deep learning algorithms have shown great potential in sensor‐based SHM …

A hybrid simplex artificial bee colony algorithm (HSABCA) which combines Nelder–Mead
simplex method with artificial bee colony algorithm (ABCA) is proposed for inverse analysis …

Optimal sensor placement (OSP) technique plays a key role in the structural health
monitoring (SHM) of large-scale civil infrastructures. This paper outlines an overview of …

Proper placement of sensors plays a key role in construction and implementation of an
effective structural health monitoring (SHM) system. This paper outlines a novel …

Optimal sensor placement (OSP) technique plays a key role in the structural health
monitoring (SHM) of large‐scale structures. Based on the criterion of the OSP for the modal …