Chandrasekhar Nataraj

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 11

Top Topics

Machine Learning

Selecting Features

Cardiac Surgery

Top Venues

J. Medical Syst.

IEEE Internet Comput.

Publications

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 (2023)
Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj
AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Amirhassan Abbasi, Chandrasekhar Nataraj
Physics-Informed Machine Learning for Uncertainty Reduction in Time Response Reconstruction of a Dynamic System. IEEE Internet Comput. 26 (4) (2022)
T. Haj Mohamad, Amirhassan Abbasi, E. Kim, Chandrasekhar Nataraj
Application of Deep CNN-LSTM Network to Gear Fault Diagnostics. ICPHM (2021)
Amirhassan Abbasi, Foad Nazari, Chandrasekhar Nataraj
Application of Long Short-Term Memory Neural Network to Crack Propagation Prognostics. ICPHM (2020)
Mauro J. Sanchirico III, Xun Jiao, Chandrasekhar Nataraj
Neural Network Verification through Replication. CoRR (2020)
Ali Jalali, Allan F. Simpao, Jorge A. Gálvez, Robert A. Berg, Vinay M. Nadkarni, Chandrasekhar Nataraj
A Dynamic Model of Rescuer Parameters for Optimizing Blood Gas Delivery during Cardiopulmonary Resuscitation. Comput. Math. Methods Medicine 2018 (2018)
Ali Jalali, Allan F. Simpao, Jorge A. Gálvez, Daniel J. Licht, Chandrasekhar Nataraj
Prediction of Periventricular Leukomalacia in Neonates after Cardiac Surgery Using Machine Learning Algorithms. J. Medical Syst. 42 (10) (2018)
Ali Jalali, Allan F. Simpao, Vinay M. Nadkarni, Robert A. Berg, Chandrasekhar Nataraj
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) (2017)
Anderson Lebbad, Garrett Clayton, Chandrasekhar Nataraj
Classification of UXO Using Convolutional Networks Trained on a Limited Dataset. ICMLA (2017)
Ali Jalali, Dieter Bender, Mohamed Rehman, Vinay M. Nadkarni, Chandrasekhar Nataraj
Advanced analytics for outcome prediction in intensive care units. EMBC (2016)
Ali Jalali, Erin M. Buckley, Jennifer M. Lynch, Peter J. Schwab, Daniel J. Licht, Chandrasekhar Nataraj
Prediction of Periventricular Leukomalacia Occurrence in Neonates After Heart Surgery. IEEE J. Biomed. Health Informatics 18 (4) (2014)
Ali Jalali, Vinay M. Nadkarni, Chandrasekhar Nataraj
Modeling Mechanical Response of the Chest During the Cardiopulmonary Resuscitation Procedure. CinC (2014)
Ali Jalali, Daniel J. Licht, Chandrasekhar Nataraj
Discovering hidden relationships in physiological signals for prediction of Periventricular Leukomalacia. EMBC (2013)
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)
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) (2012)
Ali Jalali, Parham Ghorbanian, Ali Ghaffari, Chandrasekhar Nataraj
A Novel Technique for Identifying Patients with ICU Needs Using Hemodynamic Features. Adv. Fuzzy Syst. 2012 (2012)
Ali Jalali, Robert A. Berg, Vinay M. Nadkarni, Chandrasekhar Nataraj
Model based optimization of the cardiopulmonary resuscitation (CPR) procedure. EMBC (2012)
Dongbin Lee, Chandrasekhar Nataraj, Timothy C. Burg, Darren M. Dawson
Adaptive tracking control of an underactuated aerial vehicle. ACC (2011)
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) (2011)
Ali Jalali, Chandrasekhar Nataraj
A cycle-averaged model of hypoplastic left heart syndrome (HLHS). EMBC (2011)
Biswanath Samanta, Geoffrey L. Bird, Marijn Kuijpers, Robert A. Zimmerman, Gail P. Jarvik, Gil Wernovsky, Robert R. Clancy, Daniel J. Licht, J. William Gaynor, Chandrasekhar Nataraj
Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms. Artif. Intell. Medicine 46 (3) (2009)
Biswanath Samanta, Chandrasekhar Nataraj
Application of particle swarm optimization and proximal support vector machines for fault detection. Swarm Intell. 3 (4) (2009)
Biswanath Samanta, Chandrasekhar Nataraj
Use of particle swarm optimization for machinery fault detection. Eng. Appl. Artif. Intell. 22 (2) (2009)
Farbod Fahimi, Chandrasekhar Nataraj, Hashem Ashrafiuon
Real-time obstacle avoidance for multiple mobile robots. Robotica 27 (2) (2009)
Biswanath Samanta, Geoffrey L. Bird, Marijn Kuijpers, Robert A. Zimmerman, Gail P. Jarvik, Gil Wernovsky, Robert R. Clancy, Daniel J. Licht, J. William Gaynor, Chandrasekhar Nataraj
Prediction of periventricular leukomalacia. Part II: Selection of hemodynamic features using computational intelligence. Artif. Intell. Medicine 46 (3) (2009)
Biswanath Samanta, Chandrasekhar Nataraj
Particle swarm optimization for chaotic system parameter estimation. SIS (2009)
Biswanath Samanta, Chandrasekhar Nataraj
Prognostics of Machine Condition Using Energy Based Monitoring Index and Computational Intelligence. J. Comput. Inf. Sci. Eng. 9 (4) (2009)
Biswanath Samanta, Chandrasekhar Nataraj
Design of intelligent ship autopilots using particle swarm optimization. SIS (2008)
Biswanath Samanta, Chandrasekhar Nataraj
Surface roughness prediction in machining using Computational Intelligence. Int. J. Manuf. Res. 3 (4) (2008)
Farbod Fahimi, S. V. S. Rineesh, Chandrasekhar Nataraj
Formation controllers for underactuated Surface Vessels and Zero Dynamics stability. Control. Intell. Syst. 36 (3) (2008)
Sergey G. Nersesov, Chandrasekhar Nataraj, Jevon M. Avis
Design of finite-time stabilizing controllers for nonlinear dynamical systems. CDC (2007)
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) (2003)
Farbod Fahimi, Hashem Ashrafiuon, Chandrasekhar Nataraj
An improved inverse kinematic and velocity solution for spatial hyper-redundant robots. IEEE Trans. Robotics Autom. 18 (1) (2002)
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) (2002)
G. Hailu, Chandrasekhar Nataraj, Hashem Ashrafiuon
Is reduction in task space a condition for accelerated learning? SMC (2001)