Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

Nowadays, with more electrical devices developed and applied in wide fields, efficient
electrical energy generation is always one of the front-end and practical topics in …

This study introduces a novel convolutional neural network (CNN)‐based approach for
structural health monitoring (SHM) that exploits a form of measured compressed response …

Rapid development in structural health monitoring systems has led to the invention of
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …

In this study, an efficient method is proposed for the safety evaluation of steel trusses using
the gradient tree boosting (GTB) algorithm, one of the most powerful techniques in machine …

Engineers, building officials and authorities, developers, and other stakeholders have long
recognized the significance of structural health monitoring (SHM) in civil infrastructure. With …

In the present study, Deep Learning (DL) algorithm or Deep Neural Networks (DNN), one of
the most powerful techniques in Machine Learning (ML), is employed for estimation of …

The identification of internal structural flaws is an important research topic in structural health
monitoring. At present, structural safety inspections based on nondestructive testing …

This paper presents a suite of wireless sensing solutions for the continuous monitoring of
transportation infrastructure using traditional and emerging sensor technologies. First …