Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
IM50W
The main object of this paper is to obtain a general theorem on multiple series identity involving bounded sequences. The theorem, in turn, is expressed in terms of Srivastava- Daoust hypergeometric function of three variables. A known result of Joshi and Vyas is deduced as a special case of our reduction formula. Certain results involving unit and quarter arguments associated with hypergeometric more known or new results can be obtained by specializing the parameters or the variables or both.
M.I. Qureshi. 1970. \u201cON SOME TRANSFORMATIONS INVOLVING UNIT AND QUARTER ARGUMENTS\u201d. Unknown Journal GJSFR Volume 11 (GJSFR Volume 11 Issue 5): .
Article file ID not found.
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 108
Country: India
Subject: Uncategorized
Authors: Dr. Chaudhary Wali Mohd., M.I. Qureshi,Izharul H. Khan (PhD/Dr. count: 1)
View Count (all-time): 92
Total Views (Real + Logic): 20867
Total Downloads (simulated): 10898
Publish Date: 1970 01, Thu
Monthly Totals (Real + Logic):
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
The main object of this paper is to obtain a general theorem on multiple series identity involving bounded sequences. The theorem, in turn, is expressed in terms of Srivastava- Daoust hypergeometric function of three variables. A known result of Joshi and Vyas is deduced as a special case of our reduction formula. Certain results involving unit and quarter arguments associated with hypergeometric more known or new results can be obtained by specializing the parameters or the variables or both.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.