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Showing 1 to 2 of 2 for “"Sparse Sensor Networks"”.
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Intelligent Monitoring of Powerline Vibrations - Sparse Sensing and Predictive Modeling Approach
… range of techniques including LSTM-based neural networks for time-series prediction, Dynamic Mode Decomposition (DMD) with Tikhonov regularization for stable reduced-order modeling, and estimation algorithms such as Kalman and particle filters for reconstructing full-system states from sparse …
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High-Resolution, High-Frequency Modal Analysis for Instrumented Buildings
… its consequences is the use of distributed sensors to monitor the physical state of a structure, an area of research known commonly as structural health monitoring, or SHM. This approach can be applied in a variety of contexts: safety during and after natural disasters, evaluation of …