Sensing is a critical and inevitable sector of structural health monitoring (SHM). Recently,
smartphone sensing technology has become an emerging, affordable, and effective system …

Along with the advancement in sensing and communication technologies, the explosion in
the measurement data collected by structural health monitoring (SHM) systems installed in …

Photographs of bridges can reveal considerable technical information such as the part of the
structure that is damaged and the type of damage. Maintenance and inspection engineers …

The traditional visual inspection technique for damage assessment of buildings immediately
after an earthquake can be time‐consuming, labor‐intensive, and risky. Numerous studies …

To ensure the safe operation of bridges, it is necessary to carry out repair and strengthening
based on appropriate inspections and damage records. However, in conventional bridge …

Although convolutional neural networks (CNN) have been applied successfully to many
fields, the onsite earthquake early warning by CNN remains unexplored. This study aims to …

In the past few years, driving while tired has become one of the main causes of car
accidents. This kind of dangerous driving can cause serious injuries or even death and huge …

The cost of dedicated sensors has hampered the collection of the high-quality seismic
response data required for real-time health monitoring and damage assessment. The …

Bridges are critical components of transportation networks, and their conditions have effects
on societal well-being, the economy, and the environment. Automation needs in inspections …

Mobile Deep Learning (MDL) has emerged as a privacy-preserving learning paradigm for
mobile devices. This paradigm offers unique features such as privacy preservation …