Feature selection (FS) is an important task which can significantly affect the performance of image classification and recognition. In this paper, we present a feature selection algorithm based on… (More)
This study is one of the very few investigating the dioxin body burden of a group of child-bearing-aged women at an electronic waste (e-waste) recycling site (Taizhou, Zhejiang Province) (24 +/- 2.83… (More)
Most of the existing algorithms for mining frequent items on data stream do not emphasis the importance of the recent data items. We present an algorithm using a fading factor to detect the data… (More)
Based on the principle of cellular automata in artificial life, an artificial ant sleeping model (ASM) and an ant algorithm for cluster analysis (A4C) are presented. Inspired by the behaviors of… (More)
Rapid developments in cloud computing technology mean that many different web services are now published and available in cloud data centers. There has recently been an increasing amount of interest… (More)
An artificial ant sleeping model (ASM) and adaptive artificial ants clustering algorithm (A /sup 4/C) are presented to resolve the clustering problem in data mining by simulating the behaviors of… (More)
Multiple sequence alignment is an important and difficult problem in molecular biology and bioinformatics. In this paper, we propose a partitioning approach that significantly improves the solution… (More)
Image feature selection (FS) is an important task which can affect the performance of image classification and recognition. In this paper, we present a feature selection algorithm based on ant colony… (More)
To solve the phylogenetic tree construction problem, a new method using adaptive ant colony algorithm based on the equilibrium of the ant distribution is presented. Before the problem is solved by… (More)
Preventing and treating influenza virus infection remain a challenge because of incomplete understanding of the host-pathogen interactions, limited therapeutics and lack of a universal vaccine. So… (More)