Is reduction in task space a condition for accelerated learning? - G. Hailu; Chandrasekhar Nataraj; Hashem Ashrafiuon (SMC, 2001)

A general solution for the position, velocity, and acceleration of hyperredundant planar manipulators. - Farshid Maghami Asl; Hashem Ashrafiuon; Chandrasekhar Nataraj (J. Field Robotics, 2002)

An improved inverse kinematic and velocity solution for spatial hyper-redundant robots. - Farbod Fahimi; Hashem Ashrafiuon; Chandrasekhar Nataraj (IEEE Trans. Robotics Autom., 2002)

Obstacle Avoidance for Spatial Hyper-Redundant Manipulators Using Harmonic Potential Functions and the Mode Shape Technique. - Farbod Fahimi; Hashem Ashrafiuon; Chandrasekhar Nataraj (J. Field Robotics, 2003)

Design of finite-time stabilizing controllers for nonlinear dynamical systems. - Sergey G. Nersesov; Chandrasekhar Nataraj; Jevon M. Avis (CDC, 2007)

Design of intelligent ship autopilots using particle swarm optimization. - Biswanath Samanta; Chandrasekhar Nataraj (SIS, 2008)

Formation controllers for underactuated Surface Vessels and Zero Dynamics stability. - Farbod Fahimi; S. V. S. Rineesh; Chandrasekhar Nataraj (Control. Intell. Syst., 2008)

Surface roughness prediction in machining using Computational Intelligence. - Biswanath Samanta; Chandrasekhar Nataraj (Int. J. Manuf. Res., 2008)

Particle swarm optimization for chaotic system parameter estimation. - Biswanath Samanta; Chandrasekhar Nataraj (SIS, 2009)

Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms. - 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 (Artif. Intell. Medicine, 2009)

Prediction of periventricular leukomalacia. Part II: Selection of hemodynamic features using computational intelligence. - 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 (Artif. Intell. Medicine, 2009)

Use of particle swarm optimization for machinery fault detection. - Biswanath Samanta; Chandrasekhar Nataraj (Eng. Appl. Artif. Intell., 2009)

A Biped with a Moving Torso. - Karthik Kappaganthu; Chandrasekhar Nataraj (Int. J. Humanoid Robotics, 2009)

Prognostics of Machine Condition Using Energy Based Monitoring Index and Computational Intelligence. - Biswanath Samanta; Chandrasekhar Nataraj (J. Comput. Inf. Sci. Eng., 2009)

Real-time obstacle avoidance for multiple mobile robots. - Farbod Fahimi; Chandrasekhar Nataraj; Hashem Ashrafiuon (Robotica, 2009)

Application of particle swarm optimization and proximal support vector machines for fault detection. - Biswanath Samanta; Chandrasekhar Nataraj (Swarm Intell., 2009)

Linear time-varying tracking control with application to Unmanned Aerial Vehicles. - Ramesh Thimmaraya; Chandrasekhar Nataraj; Dongbin Lee (ACC, 2010)

Adaptive tracking control of an underactuated aerial vehicle. - Dongbin Lee; Chandrasekhar Nataraj; Timothy C. Burg; Darren M. Dawson (ACC, 2011)

A cycle-averaged model of hypoplastic left heart syndrome (HLHS). - Ali Jalali; Chandrasekhar Nataraj (EMBC, 2011)

Identification of sympathetic and parasympathetic nerves function in cardiovascular regulation using ANFIS approximation. - Ali Jalali; Ali Ghaffari; Parham Ghorbanian; Chandrasekhar Nataraj (Artif. Intell. Medicine, 2011)

Model based optimization of the cardiopulmonary resuscitation (CPR) procedure. - Ali Jalali; Robert A. Berg; Vinay M. Nadkarni; Chandrasekhar Nataraj (EMBC, 2012)

Application of decision tree in the prediction of periventricular leukomalacia (PVL) occurrence in neonates after heart surgery. - Ali Jalali; Daniel J. Licht; Chandrasekhar Nataraj (EMBC, 2012)

A Novel Technique for Identifying Patients with ICU Needs Using Hemodynamic Features. - Ali Jalali; Parham Ghorbanian; Ali Ghaffari; Chandrasekhar Nataraj (Adv. Fuzzy Syst., 2012)

An improved procedure for detection of heart arrhythmias with novel pre-processing techniques. - Parham Ghorbanian; Ali Jalali; Ali Ghaffari; Chandrasekhar Nataraj (Expert Syst. J. Knowl. Eng., 2012)

Discovering hidden relationships in physiological signals for prediction of Periventricular Leukomalacia. - Ali Jalali; Daniel J. Licht; Chandrasekhar Nataraj (EMBC, 2013)

Modeling Mechanical Response of the Chest During the Cardiopulmonary Resuscitation Procedure. - Ali Jalali; Vinay M. Nadkarni; Chandrasekhar Nataraj (CinC, 2014)

Prediction of Periventricular Leukomalacia Occurrence in Neonates After Heart Surgery. - Ali Jalali; Erin M. Buckley; Jennifer M. Lynch; Peter J. Schwab; Daniel J. Licht; Chandrasekhar Nataraj (IEEE J. Biomed. Health Informatics, 2014)

Model-based fault diagnostics of nonlinear systems using the features of the phase space response. - M. Samadani; C. A. Kitio Kwuimy; Chandrasekhar Nataraj (Commun. Nonlinear Sci. Numer. Simul., 2015)

Advanced analytics for outcome prediction in intensive care units. - Ali Jalali; Dieter Bender; Mohamed Rehman; Vinay M. Nadkarni; Chandrasekhar Nataraj (EMBC, 2016)

Classification of UXO Using Convolutional Networks Trained on a Limited Dataset. - Anderson Lebbad; Garrett M. Clayton; Chandrasekhar Nataraj (ICMLA, 2017)

A Novel Nonlinear Mathematical Model of Thoracic Wall Mechanics During Cardiopulmonary Resuscitation Based on a Porcine Model of Cardiac Arrest. - Ali Jalali; Allan F. Simpao; Vinay M. Nadkarni; Robert A. Berg; Chandrasekhar Nataraj (J. Medical Syst., 2017)

A Dynamic Model of Rescuer Parameters for Optimizing Blood Gas Delivery during Cardiopulmonary Resuscitation. - Ali Jalali; Allan F. Simpao; Jorge A. Gálvez; Robert A. Berg; Vinay M. Nadkarni; Chandrasekhar Nataraj (Comput. Math. Methods Medicine, 2018)

Prediction of Periventricular Leukomalacia in Neonates after Cardiac Surgery Using Machine Learning Algorithms. - Ali Jalali; Allan F. Simpao; Jorge A. Gálvez; Daniel J. Licht; Chandrasekhar Nataraj (J. Medical Syst., 2018)

Application of Long Short-Term Memory Neural Network to Crack Propagation Prognostics. - Amirhassan Abbasi; Foad Nazari; Chandrasekhar Nataraj (ICPHM, 2020)

Neural Network Verification through Replication. - Mauro J. Sanchirico III; Xun Jiao; Chandrasekhar Nataraj (CoRR, 2020)

Application of Deep CNN-LSTM Network to Gear Fault Diagnostics. - T. Haj Mohamad; Amirhassan Abbasi; Edward Kim 006; Chandrasekhar Nataraj (ICPHM, 2021)

Physics-Informed Machine Learning for Uncertainty Reduction in Time Response Reconstruction of a Dynamic System. - Amirhassan Abbasi; Chandrasekhar Nataraj (IEEE Internet Comput., 2022)

On extraction, ranking and selection of data-driven and physics-informed features for bearing fault diagnostics. - T. Haj Mohamad; Amirhassan Abbasi; Karthik Kappaganthu; Chandrasekhar Nataraj (Knowl. Based Syst., 2023)

AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities. - Mauro J. Sanchirico III; Xun Jiao; Chandrasekhar Nataraj (IEEE Trans. Neural Networks Learn. Syst., 2023)