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A particle filter (PF) is applied to identify the wave velocity and density of an inclusion.
Third, Dijkstra's algorithm is applied to identify the route with the highest RP.
The feature interaction detection framework is applied to identify discriminating connectivity patterns of selected informative voxels.
Melnikov's method is applied to identify the existence of chaotic motion.
The developed method is applied to identify real power systems from Frequency Monitoring Network (FNET) data.
Next, a frequency-based sensitivity-updating algorithm is applied to identify the model.
Unsupervised pattern recognition procedure is applied to identify damage mechanisms from acoustic signals.
Our method is applied to identify building functions at building level.
The observer technique is applied to identify the unknown parameter of the unified system.
The proposed approach is applied to identify the dynamics of the experimental robot.
This technique is applied to identify similar or dissimilar spatial patterns in the clustering of social vulnerability.
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