Aditya Kumar

According to our database1, Aditya Kumar authored at least 15 papers between 2004 and 2020.

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Bibliography

2020
Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis.
Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

Data Adaptive Compressed Sensing using deep neural network for Image recognition.
Proceedings of the 2020 National Conference on Communications, 2020


Scalable Optimal Flexibility Control, modeling and estimation of commercial buildings.
Proceedings of the 2020 American Control Conference, 2020

2019
Clustering case statements for indirect branch predictors.
CoRR, 2019

2017
Multikernel Simulation: A New Approach to Study Rollback Sensitive Memory Architecture.
Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017

Development of a NAO Humanoid based Medical Assistant.
Proceedings of the Advances in Robotics, 2017

2014
Face Recognition Using MPCA-EMFDA Based Features Under Illumination and Expression Variations in Effect of Different Classifiers.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014

2013
Fast nonlinear model predictive control: Formulation and industrial process applications.
Comput. Chem. Eng., 2013

Experiences with Dynamic Binary Translation in a Full System Simulator.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012
The demacrofier.
Proceedings of the 28th IEEE International Conference on Software Maintenance, 2012

Rejuvenating C++ programs through demacrofication.
Proceedings of the 28th IEEE International Conference on Software Maintenance, 2012

An Outer-Approximation based algorithm for solving integer non-linear programming problems for Optimal Sensor Placement.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2007
Advanced Estimation for Aircraft Engines.
Proceedings of the American Control Conference, 2007

2004
Demonstrating constraints to diversity with a tunably difficult problem for genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004


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