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Chandrasekhar Nataraj
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2020 – today
- 2023
- [j23]T. Haj Mohamad, Amirhassan Abbasi
, Karthik Kappaganthu, Chandrasekhar Nataraj:
On extraction, ranking and selection of data-driven and physics-informed features for bearing fault diagnostics. Knowl. Based Syst. 276: 110744 (2023) - [j22]Mauro J. Sanchirico III
AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5732-5744 (2023) - 2022
- [j21]Amirhassan Abbasi
Physics-Informed Machine Learning for Uncertainty Reduction in Time Response Reconstruction of a Dynamic System. IEEE Internet Comput. 26(4): 35-44 (2022) - 2021
- [c15]T. Haj Mohamad, Amirhassan Abbasi, Edward Kim, Chandrasekhar Nataraj:
Application of Deep CNN-LSTM Network to Gear Fault Diagnostics. ICPHM 2021: 1-6 - 2020
- [c14]Amirhassan Abbasi, Foad Nazari, Chandrasekhar Nataraj:
Application of Long Short-Term Memory Neural Network to Crack Propagation Prognostics. ICPHM 2020: 1-6 - [i1]Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj:
Neural Network Verification through Replication. CoRR abs/2007.06226 (2020)
2010 – 2019
- 2018
- [j20]Ali Jalali
A Dynamic Model of Rescuer Parameters for Optimizing Blood Gas Delivery during Cardiopulmonary Resuscitation. Comput. Math. Methods Medicine 2018: 3569346:1-3569346:6 (2018) - [j19]Ali Jalali, Allan F. Simpao
Prediction of Periventricular Leukomalacia in Neonates after Cardiac Surgery Using Machine Learning Algorithms. J. Medical Syst. 42(10): 177:1-177:11 (2018) - 2017
- [j18]Ali Jalali, Allan F. Simpao
A Novel Nonlinear Mathematical Model of Thoracic Wall Mechanics During Cardiopulmonary Resuscitation Based on a Porcine Model of Cardiac Arrest. J. Medical Syst. 41(1): 20:1-20:8 (2017) - [c13]Anderson Lebbad, Garrett M. Clayton
Classification of UXO Using Convolutional Networks Trained on a Limited Dataset. ICMLA 2017: 1098-1101 - 2016
- [c12]Ali Jalali, Dieter Bender, Mohamed Rehman, Vinay M. Nadkarni, Chandrasekhar Nataraj:
Advanced analytics for outcome prediction in intensive care units. EMBC 2016: 2520-2524 - 2015
- [j17]M. Samadani, C. A. Kitio Kwuimy, Chandrasekhar Nataraj:
Model-based fault diagnostics of nonlinear systems using the features of the phase space response. Commun. Nonlinear Sci. Numer. Simul. 20(2): 583-593 (2015) - 2014
- [j16]Ali Jalali, Erin M. Buckley
Prediction of Periventricular Leukomalacia Occurrence in Neonates After Heart Surgery. IEEE J. Biomed. Health Informatics 18(4): 1453-1460 (2014) - [c11]Ali Jalali, Vinay M. Nadkarni, Chandrasekhar Nataraj:
Modeling Mechanical Response of the Chest During the Cardiopulmonary Resuscitation Procedure. CinC 2014: 13-16 - 2013
- [c10]Ali Jalali, Daniel J. Licht, Chandrasekhar Nataraj:
Discovering hidden relationships in physiological signals for prediction of Periventricular Leukomalacia. EMBC 2013: 7080-7083 - 2012
- [j15]Ali Jalali, Parham Ghorbanian, Ali Ghaffari, Chandrasekhar Nataraj:
A Novel Technique for Identifying Patients with ICU Needs Using Hemodynamic Features. Adv. Fuzzy Syst. 2012: 696194:1-696194:9 (2012) - [j14]Parham Ghorbanian, Ali Jalali, Ali Ghaffari, Chandrasekhar Nataraj:
An improved procedure for detection of heart arrhythmias with novel pre-processing techniques. Expert Syst. J. Knowl. Eng. 29(5): 478-491 (2012) - [c9]Ali Jalali, Robert A. Berg, Vinay M. Nadkarni, Chandrasekhar Nataraj:
Model based optimization of the cardiopulmonary resuscitation (CPR) procedure. EMBC 2012: 715-718 - [c8]Ali Jalali, Daniel J. Licht, Chandrasekhar Nataraj:
Application of decision tree in the prediction of periventricular leukomalacia (PVL) occurrence in neonates after heart surgery. EMBC 2012: 5931-5934 - 2011
- [j13]Ali Jalali, Ali Ghaffari, Parham Ghorbanian, Chandrasekhar Nataraj:
Identification of sympathetic and parasympathetic nerves function in cardiovascular regulation using ANFIS approximation. Artif. Intell. Medicine 52(1): 27-32 (2011) - [c7]Dongbin Lee, Chandrasekhar Nataraj, Timothy C. Burg, Darren M. Dawson:
Adaptive tracking control of an underactuated aerial vehicle. ACC 2011: 2326-2331 - [c6]Ali Jalali, Chandrasekhar Nataraj:
A cycle-averaged model of hypoplastic left heart syndrome (HLHS). EMBC 2011: 190-194 - 2010
- [c5]Ramesh Thimmaraya, Chandrasekhar Nataraj, Dongbin Lee
Linear time-varying tracking control with application to Unmanned Aerial Vehicles. ACC 2010: 806-811
2000 – 2009
- 2009
- [j12]Biswanath Samanta, Geoffrey L. Bird, Marijn Kuijpers, Robert A. Zimmerman, Gail P. Jarvik, Gil Wernovsky, Robert R. Clancy, Daniel J. Licht, J. William Gaynor
Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms. Artif. Intell. Medicine 46(3): 201-215 (2009) - [j11]Biswanath Samanta, Geoffrey L. Bird, Marijn Kuijpers, Robert A. Zimmerman, Gail P. Jarvik, Gil Wernovsky, Robert R. Clancy, Daniel J. Licht, J. William Gaynor
Prediction of periventricular leukomalacia. Part II: Selection of hemodynamic features using computational intelligence. Artif. Intell. Medicine 46(3): 217-231 (2009) - [j10]Biswanath Samanta, Chandrasekhar Nataraj:
Use of particle swarm optimization for machinery fault detection. Eng. Appl. Artif. Intell. 22(2): 308-316 (2009) - [j9]Karthik Kappaganthu, Chandrasekhar Nataraj:
A Biped with a Moving Torso. Int. J. Humanoid Robotics 6(4): 657-674 (2009) - [j8]Biswanath Samanta, Chandrasekhar Nataraj:
Prognostics of Machine Condition Using Energy Based Monitoring Index and Computational Intelligence. J. Comput. Inf. Sci. Eng. 9(4) (2009) - [j7]Farbod Fahimi, Chandrasekhar Nataraj, Hashem Ashrafiuon:
Real-time obstacle avoidance for multiple mobile robots. Robotica 27(2): 189-198 (2009) - [j6]Biswanath Samanta, Chandrasekhar Nataraj:
Application of particle swarm optimization and proximal support vector machines for fault detection. Swarm Intell. 3(4): 303-325 (2009) - [c4]Biswanath Samanta, Chandrasekhar Nataraj:
Particle swarm optimization for chaotic system parameter estimation. SIS 2009: 74-80 - 2008
- [j5]Farbod Fahimi, S. V. S. Rineesh, Chandrasekhar Nataraj:
Formation controllers for underactuated Surface Vessels and Zero Dynamics stability. Control. Intell. Syst. 36(3) (2008) - [j4]Biswanath Samanta, Chandrasekhar Nataraj:
Surface roughness prediction in machining using Computational Intelligence. Int. J. Manuf. Res. 3(4): 379-392 (2008) - [c3]Biswanath Samanta, Chandrasekhar Nataraj:
Design of intelligent ship autopilots using particle swarm optimization. SIS 2008: 1-7 - 2007
- [c2]Sergey G. Nersesov, Chandrasekhar Nataraj, Jevon M. Avis:
Design of finite-time stabilizing controllers for nonlinear dynamical systems. CDC 2007: 1740-1745 - 2003
- [j3]Farbod Fahimi, Hashem Ashrafiuon, Chandrasekhar Nataraj:
Obstacle Avoidance for Spatial Hyper-Redundant Manipulators Using Harmonic Potential Functions and the Mode Shape Technique. J. Field Robotics 20(1): 23-33 (2003) - 2002
- [j2]Farshid Maghami Asl, Hashem Ashrafiuon, Chandrasekhar Nataraj:
A general solution for the position, velocity, and acceleration of hyperredundant planar manipulators. J. Field Robotics 19(1): 1-12 (2002) - [j1]Farbod Fahimi, Hashem Ashrafiuon, Chandrasekhar Nataraj:
An improved inverse kinematic and velocity solution for spatial hyper-redundant robots. IEEE Trans. Robotics Autom. 18(1): 103-107 (2002) - 2001
- [c1]G. Hailu, Chandrasekhar Nataraj, Hashem Ashrafiuon:
Is reduction in task space a condition for accelerated learning? SMC 2001: 628-633
Coauthor Index
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