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re-use of illusions, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication of parts thereof is permitted only under the provision of the copyright law 1965, in its current version, and permission of use must always be obtained from CSC Publishers. Violations are liable to(More)
Cricket is one of the most popular sports among every class of people. The contribution of individual team members to the overall team performance is more easily quantifiable in cricket and the performance evaluation of a player is a very critical issue. Indian Premier League T20 cricket tournament dataset has been considered to measure the performance(More)
—In this paper, a search is made to detect any sort of nonlinearity and chaos in the solar irradiance data from the Earth Radiation Budget Satellite during the time period from October 15, 1984 to October 15, 2003 in order to investigate the inherent complexity in it. In this paper, delay vector variance analysis has been applied to trace the nonlinearity;(More)
The results of inverse scattering of plane acoustic waves from penetrable, homogeneous acoustic obstacles in two space dimensions are reported. The shape and the material parameters of the obstacles are recovered from both 360 • and limited-aperture, far-field patterns in the presence of random noise. The forward problem is solved via a combination of shape(More)
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The present study aims to design a methodical model based on Analytical hierarchy Process (AHP) and Artificial Neural Network (ANN) for estimation of player price in IPL. Based on expert view several key features are chosen for cricket player price calculation in IPL twenty-20 cricket tournament. Initial weights of attributes are calculated through AHP.(More)
In this fast entertainment era Twenty-20 cricket becomes one of the most popular entertaining sports in all aged persons. Multi-criteria analysis plays a vital role to measure the performance of cricketers and Decision tree technique helps us to classify in very efficient manner. This paper makes use of Technique for Order Preference by Similarity to Ideal(More)
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