Dr. Ajay Verma Profile

Dr. Ajay Verma

at Knowledge Based Systems Inc

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Author

Publications (5)

Proceedings Article | 10 June 2013 Paper

Persistent unmanned airborne network support for cooperative sensors

Ajay Verma, Ronald Fernandes

Proceedings Volume 8756, 87560J (2013) https://doi.org/10.1117/12.2018293

KEYWORDS: Unmanned aerial vehicles, Sensors, Feedback control, Wireless communications, Data communications, Mobile communications, Stochastic processes, Neodymium, Sensor networks, Motion models

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Proceedings Article | 10 May 2012 Paper

Agent-based analysis of trustworthiness in wireless sensor networks

Ronald Fernandes, Biyan Li, Kalyan Vadakkeveedu, Ajay Verma, Paul Gustafson, Jong Hwang

Proceedings Volume 8407, 84070W (2012) https://doi.org/10.1117/12.920781

KEYWORDS: Sensors, Sensor networks, Defense and security, Environmental sensing, Computer simulations, Human-machine interfaces, Control systems, Analytical research, Information assurance, Situational awareness sensors

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Proceedings Article | 23 May 2011 Paper

Sensor trustworthiness in uncertain time varying stochastic environments

Ajay Verma, Ronald Fernandes, Kalyan Vadakkeveedu

Proceedings Volume 8047, 80470O (2011) https://doi.org/10.1117/12.884633

KEYWORDS: Sensors, Stochastic processes, Data modeling, Environmental sensing, Statistical analysis, Information theory, Statistical modeling, Unattended sensors, Sensor networks, Performance modeling

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Proceedings Article | 2 May 2007 Paper

Modeling aerodynamic coefficients for autonomous trajectory planning of aerial vehicles using neural network approach

Peng Xu, Kalyan Vadakkeveedu, Ajay Verma, Richard Mayer

Proceedings Volume 6561, 65611Y (2007) https://doi.org/10.1117/12.719898

KEYWORDS: Aerodynamics, Neural networks, Curium, Calcium, Data modeling, Neurons, Space operations, Analytical research, Operational intelligence, Unmanned aerial vehicles

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Proceedings Article | 9 April 2007 Paper

Neural dynamic optimization for autonomous aerial vehicle trajectory design

Peng Xu, Ajay Verma, Richard Mayer

Proceedings Volume 6576, 65760X (2007) https://doi.org/10.1117/12.720126

KEYWORDS: Control systems, Neural networks, Systems modeling, Optical fiber cables, Complex systems, Aerodynamics, Device simulation, Vehicle control, Stochastic processes, Magnesium

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