Vijay Manikandan Janakiraman
Vijay Manikandan Janakiraman
NASA Ames Research Center
Verified email at umich.edu
Title
Cited by
Cited by
Year
Nonlinear identification of a gasoline HCCI engine using neural networks coupled with principal component analysis
VM Janakiraman, XL Nguyen, D Assanis
Applied Soft Computing 13 (5), 2375-2389, 2013
792013
Anomaly detection in aviation data using extreme learning machines
VM Janakiraman, D Nielsen
2016 international joint conference on neural networks (IJCNN), 1993-2000, 2016
412016
Stochastic gradient based extreme learning machines for stable online learning of advanced combustion engines
VM Janakiraman, XL Nguyen, D Assanis
Neurocomputing 177, 304-316, 2016
372016
Identification of the dynamic operating envelope of HCCI engines using class imbalance learning
VM Janakiraman, XL Nguyen, J Sterniak, D Assanis
IEEE transactions on neural networks and learning systems 26 (1), 98-112, 2014
352014
An ELM based predictive control method for HCCI engines
VM Janakiraman, XL Nguyen, D Assanis
Engineering Applications of Artificial Intelligence 48, 106-118, 2016
332016
Comparative study of the performance and emission characteristics of biodiesels from different vegetable oils with diesel
S Suryanarayanan, VM Janakiraman, GLN Rao, S Sampath
SAE Technical Paper, 2008
272008
Finding precursors to anomalous drop in airspeed during a flight's takeoff
VM Janakiraman, B Matthews, N Oza
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
172017
Machine Learning for Identification and Optimal Control of Advanced Automotive Engines.
VM Janakiraman
172013
Explaining aviation safety incidents using deep temporal multiple instance learning
VM Janakiraman
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
162018
Discovery of precursors to adverse events using time series data
VM Janakiraman, B Matthews, N Oza
Proceedings of the 2016 SIAM International Conference on Data Mining, 639-647, 2016
162016
A system identification framework for modeling complex combustion dynamics using support vector machines
VM Janakiraman, XL Nguyen, J Sterniak, D Assanis
Informatics in Control, Automation and Robotics, 297-313, 2014
142014
A Lyapunov based stable online learning algorithm for nonlinear dynamical systems using extreme learning machines
VM Janakiraman, XL Nguyen, D Assanis
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
132013
Using ADOPT algorithm and operational data to discover precursors to aviation adverse events
VM Janakiraman, B Matthews, N Oza
2018 AIAA Information Systems-AIAA Infotech@ Aerospace, 1638, 2018
82018
Nonlinear model predictive control of a gasoline HCCI engine using extreme learning machines
VM Janakiraman, XL Nguyen, D Assanis
arXiv preprint arXiv:1501.03969, 2015
72015
Lyapunov method based online identification of nonlinear systems using extreme learning machines
VM Janakiraman, D Assanis
arXiv preprint arXiv:1211.1441, 2012
72012
Prediction of cetane number of a biodiesel based on physical properties and a study of their influence on cetane number
S Suryanarayanan, VM Janakiraman, J Sekar, G Lakshmi, N Rao
SAE Technical Paper, 2007
62007
Estimation of engine emissions based on physical and chemical properties of biodiesels using artificial neural networks
VM Janakiraman, S Suryanarayanan, GLN Rao, S Sampath
SAE Technical Paper, 2006
62006
Variables influencing RNAV STAR adherence. IEEE/AIAA
M Stewart, B Matthews, I Avrekh, V Janakiraman
Proceedings of the 37th Digital Avionics Systems Conference (DASC). London, UK, 2018
52018
Accept: Introduction of the adverse condition and critical event prediction toolbox
RA Martin, D Santanu, VM Janakiraman, S Hosein
52015
Explaining aviation safety incidents using deep learned precursors
VM Janakiraman
arXiv preprint arXiv:1710.04749, 2017
42017
The system can't perform the operation now. Try again later.
Articles 1–20