Abhishek Srivastav

Affiliations: 
2009 Pennsylvania State University, State College, PA, United States 
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"Abhishek Srivastav"

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Asok Ray grad student 2009 Penn State
 (Collaboration and pattern recognition in distributed sensor networks: A statistical mechanics based approach.)
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Jha DK, Virani N, Reimann J, et al. (2018) Symbolic analysis-based reduced order Markov modeling of time series data Signal Processing. 149: 68-81
Sarkar S, Srivastav A. (2016) A composite discretization scheme for symbolic identification of complex systems Signal Processing. 125: 156-170
Jha DK, Srivastav A, Mukherjee K, et al. (2015) Depth estimation in Markov models of time-series data via spectral analysis Proceedings of the American Control Conference. 2015: 5812-5817
Sarkar S, Mukherjee K, Ray A, et al. (2013) Multi-sensor information fusion for fault detection in aircraft gas turbine engines Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 227: 1988-2001
Sarkar S, Srivastav A, Shashanka M. (2013) Maximally Bijective Discretization for data-driven modeling of complex systems Proceedings of the American Control Conference. 2674-2679
Sarkar S, Mukherjee K, Ray A, et al. (2012) Statistical Mechanics-Inspired Modeling of Heterogeneous Packet Transmission in Communication Networks. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society
Sarkar S, Singh DS, Srivastav A, et al. (2011) Semantic sensor fusion for fault diagnosis in aircraft gas turbine engines Proceedings of the American Control Conference. 220-225
Srivastav A, Wen Y, Hendrick E, et al. (2011) Information fusion for object & situation assessment in sensor networks Proceedings of the American Control Conference. 1274-1279
Sarkar S, Mukherjee K, Srivastav A, et al. (2010) Distributed decision propagation in mobile agent networks? Proceedings of the Ieee Conference On Decision and Control. 633-638
Subbu A, Srivastav A, Ray A, et al. (2010) Symbolic dynamic filtering for image analysis: Theory and experimental validation Signal, Image and Video Processing. 4: 319-329
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