Neural Network Approach to Solving the Traveling Salesman Problem
Journal of Computing Sciences in Colleges, 2003.

This paper was presented at the Midwest Conference of the Consortium for Computing Sciences in Colleges, Denison University in Granville, Ohio. This journal has an acceptance rate of 50 % of all articles submitted.
The article deals with the traveling salesman problem which is a standard benchmark for the performance of optimization algorithms. Two separate neural networks solution to this problem have been developed. An experimental comparison of the performance of these algorithms has been presented in this article.

The Information Satisfaction and Use Model: A Comprehensive Framework
The article has been accepted in the refereed publication of the Journal of Business and Behavioral Sciences (JBBS), Volume 10, Fall 2003. The acceptance rate for this journal is approximately 15% of all articles submitted as listed in Cabells.
The article describes how user information satisfaction (UIS) and system usage have been two important variables in MIS research because they indicate system effectiveness, a factor that is hard to measure directly. The paper presents a new framework that develops a comprehensive view of how UIS is formed and how it determines system usage.

Trojan Horses They Deceive, They Invade, They Destroy
This article has been accepted for presentation at the International Association for Computer Information Systems (IACIS) Conference to be held in Las Vegas, October 1-4, 2003 and will be published in the refereed Journal, Issues in Information Systems.
Trojan Horses are programs that inhabit your PC, erasing data or providing hackers with personal information. Trojan Horses are the deceiving and harmless looking programs that can sit on your system undetected, unnoticed, hidden with other program, waiting for you to execute them.

The Relationships between Structural Properties and the Implementation of Effective Networks
The article was accepted for publication in a refereed national journal: The National Social Science Journal. The acceptance rate is 15% of all articles submitted, as listed in Cabells.