New Book on AI in Vision-Based SHM

March 13, 2024

Mosalam coverA new publication by PEER Director Khalid Mosalam, and Prof. Yuqing Gao, introduces and implements the state-of-the-art machine learning and deep learning technologies for vision-based Structural Health Monitoring (SHM) applications.

Rapid damage assessment after natural hazards is of great interest in civil and structural engineering. This book provides a comprehensive review of this rapidly expanding field using artificial intelligence approaches. Specifically, it consists of: (1) motivation, background & progress of AI-aided vision-based SHM, (2) fundamentals of machine learning & deep learning approaches, (3) basic AI applications in vision-based SHM, (4) advanced topics & approaches, and (5) resilient AI-aided applications. The target audience is broad and includes students, engineers, and researchers in civil engineering, statistics, and computer science.

Read more about this new PEER publication.