USING A FEATURE SUBSET SELECTION METHOD AND SUPPORT VECTOR MACHINE TO ADDRESS CURSE OF DIMENSIONALITY AND REDUNDANCY IN HYPERION HYPERSPECTRAL DATA CLASSIFICATION

The curse of dimensionality resulted from insufficient training samples and redundancy is considered as an important problem in the supervised classification of hyperspectral data.This problem can be handled by Feature Subset Selection (FSS) methods and Support Vector Machine (SVM).The FSS methods can manage the redundancy by removing redundant spe

Nanocomposites are characterized as a multiphase material where one of the phases has a dimension in the nanoscale.There has been huge enthusiasm for the commercialization of nanocomposites for an assortment of uses including medicinal, electronic, and basic.The general motivation behind this study was on the development of silver nanoparticles, du

BACKGROUND:Cancers of the oral cavity are primarily oral squamous cell carcinomas (OSCCs).Many of the OSCCs present at late stages with an exceptionally poor prognosis.A probable limitation in management of patients with OSCC lies in the insufficient knowledge pertaining to the linkage between copy number alterations in OSCC and oral tumourigenesis

In the second member of the Upper Triassic Xujiahe Formation (T3x2) in the Xinchang area, western Sichuan Basin, only a low percent of reserves has been recovered, and the geological model of gas reservoir sweet spot remains unclear.Based on a large number of core, field outcrop, test and logging-seismic data, the T3x2 gas reservoir in the Xinchang