Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review.

Data-driven methods in structural health monitoring (SHM) is gaining popularity due to recent technological advancements in sensors, as well as high-speed internet and cloud-based computation. Since the introduction of deep learning (DL) in civil engineering, particularly in SHM, this emerging and p... View More