This paper proposes functional networks as an unconstrained classifier scheme for multivariate data to diagnose the breast cancer tumor. The performance of this new technique is m...
Emad A. El-Sebakhy, Kanaan A. Faisal, Tarek Helmy,...
This paper presents a new method for navigating virtual environments called “The River Analogy.” This analogy provides a new way of thinking about the user’s relationship to...
This article presents a robust EDA for global optimization with real parameters. The approach is based on the linear combination of individuals of two populations. One is the curr...
Background: The large amount of data that are currently produced in the biological sciences can no longer be explored and visualized efficiently with traditional, specialized soft...
John L. Moreland, Apostol Gramada, Oleksandr V. Bu...
The problem of image segmentation using constraint satisfaction neural networks (CSNN) has been considered. Several variations of the CSNN theme have been advanced to improve its ...