Generalization of integrated system optimization and parameter estimation techniques. - Chandra Kambhampati; J. E. Ellis; Peter D. Roberts (Autom., 1989)

Dynamic input/output linearization using recurrent neural networks. - A. Delgado; Chandrasekhar Kambhampati; Kevin Warwick (ICNN, 1996)

The relative order and inverses of recurrent networks. - Chandra Kambhampati; S. Manchanda; A. Delgado; Gary G. R. Green; Kevin Warwick; M. T. Tham (Autom., 1996)

On-line Planning for Collision Avoidance on the Nominal Path. - A. Tsoularis; Chandra Kambhampati (J. Intell. Robotic Syst., 1998)

Avoiding Moving Obstacles by Deviation from a Mobile Robot's Nominal Path. - A. Tsoularis; Chandra Kambhampati (Int. J. Robotics Res., 1999)

Approximation of Non-Autonomous Dynamic Systems by Continuous Time Recurrent Neural Networks. - Chandra Kambhampati; F. Garces; Kevin Warwick (IJCNN (1), 2000)

A stable one-step-ahead predictive control of non-linear systems. - Chandrasekhar Kambhampati; J. D. Mason; Kevin Warwick (Autom., 2000)

Decentralised fuzzy control of multi-robot systems using LMIs. - Chandra Kambhampati; S. Rajasekharan (CDC, 2001)

Modelling multiple robot manipulators handling a common object: a human motor control perspective. - Chandrasekhar Kambhampati; S. Rajasekharan (SMC, 2001)

A rough set solution to a fuzzy set problem. - C. L. Bean; Chandra Kambhampati; S. Rajasekharan (FUZZ-IEEE, 2002)

The current opinion on the use of rohots for landmine detection. - S. Rajasekharan; Chandra Kambhampati (ICRA, 2003)

Knowledge-oriented clustering for decision support. - C. L. Bean; Chandrasekhar Kambhampati (IJCNN, 2003)

A human motor control perspective to multiple manipulator modelling. - Chandra Kambhampati; S. Rajasekharan (Biol. Cybern., 2003)

Multiple manipulator control from a human motor-control perspective. - Chandrasekhar Kambhampati; S. Rajasekharan (IEEE Trans. Robotics Autom., 2003)

Robots and sensors for landmine detection. - Chandra Kambhampati; S. Rajasekharan (Int. J. Syst. Sci., 2005)

Information Packets and MPC Enable Fault-tolerance in Network Control. - Supat Klinkhieo; Chandra Kambhampati; Ronald J. Patton (ETFA, 2006)

Fault Tolerant Control in NCS Medium Access Constraints. - Supat Klinkhieo; Chandra Kambhampati; Ronald J. Patton (ICNSC, 2007)

Adaptive and Cooperative Sampling in Networked Control Systems. - Ping Zhang 022; Steven X. Ding; Ronald J. Patton; Chandra Kambhampati (ICNSC, 2007)

A Generic Strategy for Fault-Tolerance in Control Systems Distributed Over a Network. - Ronald J. Patton; Chandrasekhar Kambhampati; Alessandro Casavola; Ping Zhang 022; Steven X. Ding; Dominique Sauter (Eur. J. Control, 2007)

Spiking Neurons and Synaptic Stimuli: Neural Response Comparison Using Coincidence-Factor. - Mayur Sarangdhar; Chandrasekhar Kambhampati (World Congress on Engineering (Selected Papers), 2008)

Spiking Neurons and Synaptic Stimuli: Determining the Fidelity of Coincidence-Factor in Neural Response Comparison. - Mayur Sarangdhar; Chandrasekhar Kambhampati (Eng. Lett., 2008)

Stable quantum filters with scattering phenomena. - Woakil Uddin Ahamed; Chandra Kambhampati (Int. J. Autom. Comput., 2008)

Autonomous clustering using rough set theory. - Charlotte Bean; Chandra Kambhampati (Int. J. Autom. Comput., 2008)

Dysphonia Measures in Parkinson's Disease and Their use in Prediction of Its Progression . - Chandrasekhar Kambhampati; Mayur Sarangdhar; Nongnuch Poolsawad (KEOD, 2010)

Handling missing values in data mining - A case study of heart failure dataset. - Nongnuch Poolsawad; Lisa Moore; Chandrasekhar Kambhampati; John G. F. Cleland (FSKD, 2012)

A comparative study of missing value imputation with multiclass classification for clinical heart failure data. - Y. Zhang; Chandrasekhar Kambhampati; Darryl N. Davis; Kevin M. Goode; John G. F. Cleland (FSKD, 2012)

Analysis of Fuzzy Decision Trees on Expert Fuzzified Heart Failure Data. - Jan Bohacik; Chandra Kambhampati; Darryl N. Davis; John G. F. Cleland (SMC, 2013)

The Effect of Features Using Feature Selection for Bayesian Classifier. - Lisa Moore; Chandrasekhar Kambhampati (SMC, 2013)

Prediction of mortality rates in heart failure patients with data mining methods. - Jan Bohacik; Chandrasekhar Kambhampati; Darryl N. Davis; John G. F. Cleland (Ann. UMCS Informatica, 2013)

Use of cumulative information estimations for risk assessment of heart failure patients. - Jan Bohacik; Chandra Kambhampati; Darryl N. Davis; John G. F. Cleland (FUZZ-IEEE, 2014)

Classification of a real live heart failure clinical dataset- Is TAN Bayes better than other Bayes? - Lisa Moore; Chandra Kambhampati; John G. F. Cleland (SMC, 2014)

Issues in the Mining of Heart Failure Datasets. - Nongnuch Poolsawad; Lisa Moore; Chandrasekhar Kambhampati; John G. F. Cleland (Int. J. Autom. Comput., 2014)

Performance Analysis of Various Missing Value Imputation Methods on Heart Failure Dataset. - Mohammad Al Khaldy; Chandrasekhar Kambhampati (IntelliSys (2), 2016)

Discriminative and Generative Models for Clinical Risk Estimation: An Empirical Comparison. - John Stamford; Chandra Kambhampati (ICCSW, 2017)

Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease. - Asmaa Alabed; Chandrasekhar Kambhampati; Neil A. Gordon (SAI (2), 2020)

Locally fitting hyperplanes to high-dimensional data. - Ming Hou; Chandra Kambhampati (Neural Comput. Appl., 2022)

Classifying Graphemes in English Words Through the Application of a Fuzzy Inference System. - Samuel Rose; Chandrasekhar Kambhampati (CoRR, 2024)

A LDA-Based Social Media Data Mining Framework for Plastic Circular Economy. - Yangyimin Xue; Chandrasekhar Kambhampati; Yongqiang Cheng 001; Nishikant Mishra; Nur Wulandhari; Pauline Deutz (Int. J. Comput. Intell. Syst., 2024)