Dr. Kamal Premaratne Profile

Dr. Kamal Premaratne

Associate Professor at Univ of Miami

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Author

Publications (5)

Proceedings Article | 30 April 2007 Paper

Learning Bayesian network parameters from imperfect data: enhancements to the EM algorithm

Rohitha Hewawasam, Kamal Premaratne

Proceedings Volume 6560, 65600E (2007) https://doi.org/10.1117/12.719290

KEYWORDS: Expectation maximization algorithms, Databases, Data modeling, Probability theory, Algorithm development, Algorithms, Stochastic processes, Optimal decision systems, Monte Carlo methods, Composites

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Proceedings Article | 28 March 2005 Paper

Rule mining and classification in the presence of feature level and class label ambiguities

K.K. Rohitha Hewawasam, Kamal Premaratne, Mei-Ling Shyu, Shaminda Subasingha

Proceedings Volume 5803, (2005) https://doi.org/10.1117/12.603993

KEYWORDS: Databases, Mining, Algorithm development, Data modeling, Sensors, Probability theory, Reliability, Composites, Californium, Computer engineering

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Proceedings Article | 14 February 2002 Paper

Resource allocation and congestion control in task-oriented distributed sensor networks

Jinsong Zhang, Ernst Kulasekere, Kamal Premaratne, Peter Bauer

Proceedings Volume 4578, (2002) https://doi.org/10.1117/12.456076

KEYWORDS: Sensors, Data modeling, Control systems, Sensor networks, Feedback control, Chemical elements, Device simulation, Dubnium, Atrial fibrillation, Environmental sensing

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Proceedings Article | 20 April 2000 Paper

Single-input/multi-output strategies for floor vibration control

Linda Hanagan, Kamal Premaratne

Proceedings Volume 3988, (2000) https://doi.org/10.1117/12.383161

KEYWORDS: Actuators, Control systems, Feedback control, Vibration control, Systems modeling, Calcium, Analytical research, Sensors, Device simulation, Motion models

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Proceedings Article | 7 June 1996 Paper

Robustness of digital filters with respect to limit-cycle behavior under coefficient perturbations

Ernst Kulasekere, Kamal Premaratne, Peter Bauer

Proceedings Volume 2750, (1996) https://doi.org/10.1117/12.241995

KEYWORDS: Quantization, Digital filtering, Information operations, Lanthanum, Computer engineering, Algorithm development, Lithium, Diamond, Electrical engineering, Signal to noise ratio

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