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BIOCOMP
2006
15 years 4 months ago
An Artificial Neural Network based Model to Analyze Malarial Data and Predict Organ Failure
Health Care Management is one of the most important and most important research areas of the new millennium. The main purpose of this work was to analyze the data on malaria patie...
Dinesh P. Mital, Shankar Srinivasan, Syed Haque, R...
ICASSP
2011
IEEE
14 years 6 months ago
A multi-dimensional approach to predicting speech quality using a physiologically motivated model of the Cochlea
This paper introduces a framework to measure speech quality in a multi-dimensional space. A hydro-mechanical Cochlear model is used to convert speech into the perceptual domain, w...
Deep Sen, Wenliang Lu
SEKE
2007
Springer
15 years 9 months ago
Incremental Effort Prediction Models in Agile Development using Radial Basis Functions
One of the impediments to the wide dissemination of software estimation and measurement practices is the significant overhead imposed by these practices on the project and develop...
Raimund Moser, Witold Pedrycz, Giancarlo Succi
JMLR
2010
132views more  JMLR 2010»
14 years 9 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
ICAISC
2004
Springer
15 years 8 months ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...