In this study, we propose evolutionary instance selection based on the Takagi-Sugeno (T-S) fuzzy model. The previous neural network with weighted fuzzy membership functions (NEWFM) supports feature selection; thus, it enables the selection of minimum features with the highest performance. The enhanced NEWFM supports a weighted mean defuzzification in the T-S fuzzy model with a confidence interv...

The performance of single-buffered banyan networks under certain nonuniform traffic patterns had been studied by Garg and Huang. However, the models used are over simplified and the results obtained may deviate from exact values significantly. Alternative models to achieve more accurate performance estimates are presented. In our models, the destinations of blocked packets residing in the buffe...

Computational science (CS) is an emerging discipline that unites science and mathematics with disciplinary experience in biology, chemistry, physics, and other applied scientific fields. Within the scientific method, it is often referred to as the third science paradigm, complementing both theoretical and laboratory science (Miller & Boxer, 2005). In this work, CS involves the collaboration of ...

The concept of cooperative purchasing is as old as ancient Egypt and Babylon. Even in those days groups of independent organizations cooperated in one or more steps of the procurement process by pooling their purchasing volumes, information and/or resources to improve their performances. The main objective of this paper is to identify and classify the current forms of cooperative purchasing acc...

A three stage production system is considered in this paper. There are two stages to fabricate and ready the parts and an assembly stage to assembly the parts and complete the products in this system. Suppose that a number of products of different kinds are ordered. Each product is assembled with a set of several parts. At first the parts are produced in the first stage with parallel machines a...

In order to obtain more precise spectrum sensing performance in cognitive radio networks, a twostage spectrum sensing approach is investigated. More specifically, a coarse spectrum sensing based on energy detection is introduced in the first stage. When the sensing decision is idle channel by coarse sensing, a fine spectrum sensing based on first order cyclostationary feature detection is explo...

S ince the 1970s, clinicians treating patients with chronic lymphocytic leukemia (CLL) have relied on a staging system that defines the poorest risk disease as that characterized by the presence of anemia, thrombocytopenia, or both (Rai stages III and IV; Binet stage C).2,3 These staging systems have been endorsed in the recent guidelines for the diagnosis and treatment of CLL produced by the I...

Proliferation of massively parallel machines have undergone the first stage where researchers learn to know what it is like. Now it come to the second stage in which researchers axe asked to show visions for real applications. The author argues that Grand Challenge AI Applications should be proposed and pursued. These applications should have significant social, economic and scientific impact a...

Identifying Alzheimer's disease (AD) at its early stage is of major interest in AD research. Previous studies have suggested that abnormalities in regional sulcal width and global sulcal index (g-SI) are characteristics of patients with early-stage AD. In this study, we investigated sulcal width and three other common neuroimaging morphological measures (cortical thickness, cortical volume, and...

a three stage production system is considered in this paper. there are two stages to fabricate and ready the parts and an assembly stage to assembly the parts and complete the products in this system. suppose that a number of products of different kinds are ordered. each product is assembled with a set of several parts. at first the parts are produced in the first stage with parallel machines a...