3 papers
stat.ML2020
Hidden Markov models as recurrent neural networks: an application to Alzheimer's disease
Matt Baucum, Anahita Khojandi, Theodore Papamarkou
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 optim…
cs.RO2020
Anomaly Detection in Connected and Automated Vehicles using an Augmented State Formulation
Yiyang Wang, Neda Masoud, Anahita Khojandi
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 f…
eess.SP2019
Real-Time Sensor Anomaly Detection and Recovery in Connected Automated Vehicle Sensors
Yiyang Wang, Neda Masoud, Anahita Khojandi
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 mode…