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Stochastic Identification-based Active Sensing Acousto-Ultrasound SHM Using Stationary Time Series Models
In this work, a probabilistic damage detection and identification scheme using stochastic time series models in the context of acousto-ultrasound guided wave-based SHM is proposed, and its performance is assessed experimentally.
Time-varying Identification of Guided Wave Propagation under Varying Temperature via Non-Stationary Time Series Models
In order to circumvent this difficulty, in this paper, a novel stochastic time series-based framework was adopted to model guided wave propagation under varying temperatures.
Intrusion Detection and Localization for Networked Embedded Control Systems
In this paper we present a physics-based Intrusion Detection System (IDS) aimed at increasing the security in control systems.
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems
Security-Constrained Unit Commitment (SCUC) is a fundamental problem in power systems and electricity markets.
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