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    Recovery of Long-Term Missing Wind Velocity Data for Structural Health Monitoring Based on Deep Learning and Meteorological Databases 

    Source: Journal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 006:;page 04025062-1
    Author(s): Jia-Xing Huang; Qiu-Sheng Li; Xu-Liang Han; Jun-Yi He
    Publisher: American Society of Civil Engineers
    Abstract: Wind environment monitoring is of vital importance for structural health monitoring (SHM). However, wind velocity records in SHM systems sometimes suffer from data loss owing to monitoring equipment faults, transmission ...
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