Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

Drinking water is essential to public health and socioeconomic growth. Therefore, assessing
and ensuring drinking water supply is a critical task in modern society. Conventional …

During recent times, the emergence of artificial intelligence in structural engineering has
rendered researchers to work on reducing the overall computational effort required for …

This study introduces an unsupervised machine learning framework for damage detection
and localization in Structural Health Monitoring (SHM), leveraging dynamic graph …

Civil structures may deteriorate during their service life due to degradation or damage
imposed by natural hazards such as earthquakes, wind, and impact. Structural performance …

Structural health monitoring (SHM) ensures the safety and reliability of civil infrastructure.
Autoencoders, as unsupervised learning models, offer promise for SHM by learning data …

This study explores the growing influence of artificial intelligence (AI) on structural health
monitoring (SHM), a critical aspect of infrastructure maintenance and safety. This study …

Developments in drones and imaging hardware technology have opened up countless
possibilities for enhancing structural condition assessments and visual inspections …

Quantifying structural damage using online monitoring data is crucial for condition-based
maintenance to ensure aviation safety. However, most data-driven methods hardly use …

Structural health monitoring (SHM) of civil infrastructure is significant for sustainable
development. This review aims to identify the factors influencing sustainable civil …