S. Perumal Sankar

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A central problem in machine learning is identifying a representative set of features from which to construct a classification model for a particular task. Feature selection, as a preprocessing step to machine learning, is effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility.(More)
This paper presents methodology and case studies for a system-wide evaluation of an integrated traffic control and route diversion strategy. Traffic density management using DESBOR technology and GPS is an attempt for the creation of the smooth driving environment through a variety of recent technologies such as DESBOR, GPS and WI-FI. With these(More)
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