In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

Over the past decade, deep learning (DL) has been applied in a large number of optical
sensors applications. DL algorithms can improve the accuracy and reduce the noise level in …

Advanced data analysis techniques are of paramount importance for the Structural Health
Monitoring (SHM) of civil buildings and infrastructures. In particular, Automated Operational …

Abstract Polymer or Plastic Optical Fiber sensors (POFs) and Fiber Bragg Grating sensors
(FBGs) have gained increasing popularity in biomedical engineering (BME) applications …

With the increase of service life, a growing number of medium-small span bridges have
suffered degradation and even serious damage, and the vertical displacement is one of the …

Compressive strength of concrete is one of the key indicators to evaluate the quality of
concrete materials. Real-time monitoring of the compressive strength development during …

In the modern digital era, artificial intelligence technology, especially deep learning, offers
great potential to improve the quality of education in Islamic schools. This study aims to …

This paper presents reported machine learning approaches in the field of Brillouin
distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems …

Volcano-seismic signals can help for volcanic hazard estimation and eruption forecasting.
However, the underlying mechanism for their low frequency components is still a matter of …

Recent developments in networked and smart sensors have significantly changed the way
Structural Health Monitoring (SHM) and asset management are being carried out. Since the …