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Type II diabetes is one of the chronic diseases, which is the cause of death and disability in most of the countries. The objective of this research work is to apply particle swarm optimization (PSO) algorithm with improved operating parameters along with decision tree (C4.5) for accessing the risk factors for type II diabetes. The model developed with the consideration of type II diabetic risk has...
This paper presents a study in which an attempt has been made to find out the maximum damping capacity of passive constrained layer damping treatments by optimizing the parameters of the treatment using the Taguchi method. Passive constrained layer damping treatment is one where two layers such as viscoelastic layer and constraining layer are attached on the surface of the structure so as to enhance...
The presence of a large number of irrelevant features degrades the classifier accuracy, reduces the understanding of data, and increases the overall time needed for training and classification. Hence, Feature selection is a critical step in the machine learning process. The role of feature selection is to select a subset of size ‘d’ (d<n) from the given set of ‘n’ features that leads to the smallest...
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