Machine learning (ML), particularly deep learning (DL), has made rapid and substantial
progress in synthetic biology in recent years. Biotechnological applications of biosystems …

The advances in data science in the last few decades have benefitted many other fields,
including Structural Health Monitoring (SHM). Artificial Intelligence (AI), such as Machine …

Unpaired image-to-image translation is a popular research topic in computer vision and
graphics. Recently, the authors of this paper took a similar approach and translated the …

Health monitoring technologies, empowered by sensor-driven information and model
updating, play an important role in assessing the status of civil structures and detecting …

This study investigates the capture of digital data and the development of models for
structures with incomplete documentation and plans. LiDAR technology is utilized to obtain …

With the explosive growth of available data collected from various sensors and increasingly
powerful computing resources, recent advanced in machine learning (ML) and other data …

Condition assessment of civil engineering infrastructure systems is of growing importance as
they face aging and degradation due to both human-made activities and environmental …

This paper presents a unique approach to data fusion in the condition assessment of civil
infrastructure systems. The approach fuses dynamic monitoring sensor data with the visual …

Using Structural Health Monitoring (SHM) systems with extensive sensing arrangements on
every civil structure can be costly and impractical. Various concepts have been introduced to …

Standard structural health monitoring techniques face well-known difficulties for
comprehensive defect diagnosis in real-world structures that have structural, material, or …