Credit card transactions have grown considerably in the last few years. However, this
increase has led to significant financial losses around the world. More than that, processing …

The emergence of the Internet of Things (IoT) has facilitated the development and usage of
low-computational microcontrollers at the edge of the network, which process data in the …

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) system has been operating for a long time in a harsh
environment, resulting in various abnormalities in the collected structural vibration …

The occurrence of manufacturing defects in wind turbine blade (WTB) production can result
in significant increases in operation and maintenance costs of WTBs, reduce capacity factors …

Condition rating of bridges is specified in many countries since it provides a basis for the
decision‐making of maintenance actions such as repair, strengthening, or limitation of …

Sensor fault classification and reconstruction frameworks are crucial for the stable, safe, and
reliable operations of Structural Health Monitoring (SHM) systems. Existing literature …

This paper proposes an unsupervised anomaly detection (AD) scheme combining response
forecasting by deep learning (DL) and temperature-driven moving principal component …

Structural health monitoring (SHM) systems generate a large amount of sensing data. Data
anomalies may occur due to sensor faults and extreme events. Sensor faults can result in …

Structural health monitoring (SHM) aims to assess civil infrastructures' performance and
ensure safety. Automated detection of in situ events of interest, such as earthquakes, from …