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 …

Estimating engineering structures' health conditions and predicting their future behaviors are
fundamental problems for a city's safe and efficient operations. Data-driven solutions …

Compressed sensing (CS) can significantly improve the transmission efficiency of large
amounts of vibration data in wireless sensor networks (WSNs) for mechanical vibration …

Edge computing has become a popular paradigm where services and applications are
deployed at the network edge closer to the data sources. It provides applications with …

Structural damage detection is a crucial issue for the safety of civil buildings, which are
subject to gradual deterioration over time and at risk from sudden seismic events. To prevent …

In general, edge computing networks are based on a distributed computing environment
and hence, present some difficulties to obtain an appropriate load balancing, especially …

Statistical modeling of high-dimensional matrix-valued data motivates the use of a low-rank
representation that simultaneously summarizes key characteristics of the data and enables …

Structural health monitoring (SHM) systems currently utilize a combination of low-cost, low-
energy sensors and processing units to monitor the conditions of target facilities. However …

Modern Structural Health Monitoring (SHM) systems currently utilize a combination of low-
cost, low-energy sensors and processing units to monitor the conditions of target facilities …

Structural health monitoring (SHM) systems have been widely implemented for managing
and maintaining civil infrastructure. A large volume of data are generated every day from the …