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Simulating the Integration of Urban Air Mobility into Existing Transportation Systems: A Survey
Urban air mobility (UAM) has the potential to revolutionize transportation in metropolitan areas, providing a new mode of transportation that could alleviate congestion and improve accessibility.
Machine-learning-based methods for output only structural modal identification
A self-coding deep neural network is designed to identify the structural modal parameters from the vibration data of structures.
Compressive-Sensing Data Reconstruction for Structural Health Monitoring: A Machine-Learning Approach
The prior knowledge, i. e., the basis matrix and the CS-sampled signals, are used as the input and the target of the network; the basis coefficient matrix is embedded as the parameters of a certain layer; the objective function of conventional compressive sensing is set as the loss function of the network.
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