A systematic review of optimization algorithms for structural health monitoring and optimal sensor placement
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 …
ensuring the sustainability and serviceability of large and complex structures. To design an …
[HTML][HTML] Review on smartphone sensing technology for structural health monitoring
Sensing is a critical and inevitable sector of structural health monitoring (SHM). Recently,
smartphone sensing technology has become an emerging, affordable, and effective system …
smartphone sensing technology has become an emerging, affordable, and effective system …
HECON: Weight assessment of the product loyalty criteria considering the customer decision's halo effect using the convolutional neural networks
The economic pressures and increasing competition in markets have led to the CEOs of
companies being forced to make the right strategic decisions in the development of products …
companies being forced to make the right strategic decisions in the development of products …
Unsupervised learning methods for data-driven vibration-based structural health monitoring: a review
Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …
topic in the structural health monitoring (SHM) research community during the past decades …
An IoT based authentication system for therapeutic herbs measured by local descriptors using machine learning approach
The work aims to develop an automatic recognition model to classify medicinal plants using
machine learning techniques to enrich the traditional medical system of India. Though many …
machine learning techniques to enrich the traditional medical system of India. Though many …
A locally unsupervised hybrid learning method for removing environmental effects under different measurement periods
Environmental effects induce deceptive variability in unlabeled vibration data for structural
health monitoring (SHM). Although unsupervised learning is an effective solution to this …
health monitoring (SHM). Although unsupervised learning is an effective solution to this …
Machine learning in safety and health research: a scientometric analysis
Safety and health are intricately interwoven and have become indispensable to the thriving
business world and anthropology. It is concerned with ensuring employees' physical …
business world and anthropology. It is concerned with ensuring employees' physical …
Develo** a digital twin model for monitoring building structural health by combining a building information model and a real-scene 3D model
Structural health monitoring (SHM) is a critical component of ensuring the safety of buildings,
yet the effective management of sensors and their corresponding monitoring data is …
yet the effective management of sensors and their corresponding monitoring data is …
The state of the art of artificial intelligence approaches and new technologies in structural health monitoring of bridges
The challenges of urban administration are growing, as the population, automobiles, and
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …
Investigation of temperature effects into long-span bridges via hybrid sensing and supervised regression models
Temperature is an important environmental factor for long-span bridges because it induces
thermal loads on structural components that cause considerable displacements, stresses …
thermal loads on structural components that cause considerable displacements, stresses …