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
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
672013
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
312016
Anomaly detection in aviation data using extreme learning machines
VM Janakiraman, D Nielsen
2016 International Joint Conference on Neural Networks (IJCNN), 1993-2000, 2016
242016
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
242008
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
232014
An ELM based predictive control method for HCCI engines
VM Janakiraman, XL Nguyen, D Assanis
Engineering Applications of Artificial Intelligence 48, 106-118, 2016
222016
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
142017
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
142016
Machine Learning for Identification and Optimal Control of Advanced Automotive Engines.
VM Janakiraman
132013
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
112013
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
92014
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
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
52018
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
Explaining aviation safety incidents using deep temporal multiple instance learning
VM Janakiraman
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 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
Explaining aviation safety incidents using deep learned precursors
VM Janakiraman
arXiv preprint arXiv:1710.04749, 2017
32017
Support Vector Machines for Identification of HCCI Combustion Dynamics.
VM Janakiraman, J Sterniak, D Assanis
ICINCO (1), 385-393, 2012
32012
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–20