Výsledky vyhledávání - "Khojandi, Anahita"

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Hidden Markov models as recurrent neural networks: an application to Alzheimer's disease

Autor: Baucum, Matt, Khojandi, Anahita, Papamarkou, Theodore

Hidden Markov models (HMMs) are commonly used for disease progression modeling when the true patient health state is not fully known. Since HMMs typically have multiple local optima, incorporating additional patient covariates can improve parameter e

Externí odkaz: http://arxiv.org/abs/2006.03151

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Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation

Autor: Wang, Yiyang, Masoud, Neda, Khojandi, Anahita

Publikováno v: 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS), Delft, Netherlands, 2020, pp. 156-161

In this paper we propose a novel observer-based method for anomaly detection in connected and automated vehicles (CAVs). The proposed method utilizes an augmented extended Kalman filter (AEKF) to smooth sensor readings of a CAV based on a nonlinear c

Externí odkaz: http://arxiv.org/abs/2004.09496

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Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors

Autor: Wang, Yiyang, Masoud, Neda, Khojandi, Anahita

In this paper we propose a novel observer-based method to improve the safety and security of connected and automated vehicle (CAV) transportation. The proposed method combines model-based signal filtering and anomaly detection methods. Specifically,

Externí odkaz: http://arxiv.org/abs/1911.01531

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