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The methodology is partially based in the methodological approach of the Multi-hazard Loss Estimation Methodology (Hazus) developed by the Federal Emergency Management Agency (FEMA).
The proposed estimation methodology is validated experimentally.
The energy estimation methodology uses parameters extrapolated from actual hardware measurements.
Architectural Vulnerability Factor (AVF) is an early vulnerability estimation methodology.
However, when properly networked using our visual localization and estimation methodology, we obtained kinematic estimates with median errors below 20%.
The procedures and estimation methodology conducted in previous research is documented.
A generic parameter estimation methodology for application to full-scale systems is also proposed.
The performance of the fault estimation methodology is also presented in this paper.
An improved foam level estimation methodology from a microphone signal and its automatic calibration is presented.
This paper proposes a new state estimation methodology based on the concepts of sparse vector recovery and line outage modeling.
The estimation methodology is also applied to experimental data regarding a forced convection problem in coiled pipes.
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