Vijay Manikandan Janakiraman
Vijay Manikandan Janakiraman
NASA Ames Research Center
確認したメール アドレス: umich.edu
タイトル引用先
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
602013
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
272016
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
222008
An ELM based predictive control method for HCCI engines
VM Janakiraman, XL Nguyen, D Assanis
Engineering Applications of Artificial Intelligence 48, 106-118, 2016
212016
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
212014
Anomaly detection in aviation data using extreme learning machines
VM Janakiraman, D Nielsen
2016 International Joint Conference on Neural Networks (IJCNN), 1993-2000, 2016
162016
Machine Learning for Identification and Optimal Control of Advanced Automotive Engines.
VM Janakiraman
112013
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
102017
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
92016
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
92013
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
82014
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
Accept: Introduction of the adverse condition and critical event prediction toolbox
RA Martin, D Santanu, VM Janakiraman, S Hosein
52015
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
52015
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
42018
Lyapunov method based online identification of nonlinear systems using extreme learning machines
VM Janakiraman, D Assanis
arXiv preprint arXiv:1211.1441, 2012
42012
Lakshmi narayana Rao G
S Saikishan, VM Janakiraman, J Sekar
Prediction of cetane number of a biodiesel based on physical properties and …, 2007
42007
Explaining aviation safety incidents using deep learned precursors
VM Janakiraman
arXiv preprint arXiv:1710.04749, 2017
32017
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning
VM Janakiraman
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
22018
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