Sensing Technologies And Deep Learning Methods For Structural Health Monitoring Systems

This article discusses the integration of deep learning techniques with sensor data for structural health monitoring (SHM). It highlights the potential of these advancements to enhance the analysis and interpretation of sensor-generated data for more accurate and efficient SHM. The article also invites researchers and practitioners to submit original research and review articles related to sensing technologies and deep learning methods for SHM systems.