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** Authors are invited to submit manuscripts for December 2019 issue.

** November 2019 issue of AARF Journals is officially released.

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1
  • A GENERAL STUDY ON MRI SCAN FOR BRAIN TUMOR USING ARTIFICIAL NEURAL NETWORK


J. Mohana Sundaram, Dr. T. Karthikeyan

Abstract:
An Artificial Neural Network (ANN) is the inspired model based on human’s biological Neural Network (BNN).BNN includes the central nervous system of animals especially the brain. The primary component of brain is a Neuron. Generally our human brain has 1x10 power 10 neurons.


1-6
2
  • TWO STAGE LIU REGRESSION ESTIMATOR


Issam Dawoud and Selahattin Kaçıranlar

Abstract:
This paper introduces a new estimator for multicollinearity and autocorrelated errors. We propose the Two Stages Liu estimator (TL) for the multiple linear regression model which suffers from autocorrelation AR(1) and multicollinearity problems.


7-35
3
  • HAZARD FUNCTION OF FSH AND LH RESPONSES TO GNRH BY OVARIES STEROIDS IN THE LUTEAL PHASE OF THE CYCLE OF THE WOMEN


Dr. S. Lakshmi, P. Velvizhi

Abstract:
Aim of this paper is to find a mathematical model to determine the role of ovarian steroids in the control of GnRH- induced gonadotrophin secretion in the luteal phase of the cycle of eighteen women subjects, by using probability density function and hazard function of Birnbaum- Saunders distribution. In reliability and survival analysis , it is often interest to determine the point at which the hazard function reaches its maximum and is given by mathematical curves.


36-49
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