Traditional structures adopt a split design with vibration control, energy harvesting and
monitoring, which is difficult to meet the needs of technological development. The …

The current mobility situation is constantly changing as people are increasingly moving to
urban areas. Therefore, a flexible mode of transport with high-capacity passenger trains and …

This study proposes a novel self‐training framework for unsupervised domain adaptation in
the segmentation of concrete wall cracks using accumulated crack data. The proposed …

Ride comfort plays an important role in determining the public acceptance of autonomous
vehicles (AVs). Many factors, such as road profile, driving speed, and suspension system …

Efficient and accurate building damage assessment is crucial for effective emergency
response and resource allocation following natural hazards. However, traditional methods …

Structural seismic safety assessment is a critical task in maintaining the resilience of existing
civil and infrastructures. This task commonly requires accurate predictions of structural …

Physical phenomena are often described by partial differential equations (PDEs), which
have been traditionally solved using computationally demanding finite element, difference …

Virtual coupling (VC) brings unprecedented opportunities for the train operation system by
controlling multiple trains as a virtually coupled train set (VCTS) via train automation and …

Considering the weak noise resistance and low identification efficiency of traditional bridge
damage identification methods, a data‐driven approach based on synchronous statistical …

To solve the challenges of low recognition accuracy, slow speed, and weak generalization
ability inherent in traditional methods for multi‐damage recognition of concrete bridges, this …