Engineering and Technology
Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage
X. Li, H. Bolandi, et al.
Discover MIDAS, an innovative framework developed by researchers from Michigan State University for automated damage detection and localization in structures. By harnessing low-cost sensors and advanced data processing techniques, this approach enhances structural health monitoring capabilities, making it both proactive and cost-effective.
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