Edge detection plays inevitable role in vision processing. The main issues are to discover edges in an image, so the initial step is to procedure of view reproduction. It has been shown in many papers that the most of the existing techniques has neglected the use of colours while detecting the edges but in many applications a region can be categorized based upon the colour. This paper has shown...

An algorithm for constrained flooding based on negative selection is proposed due to improve delay of flooding and quality of operation when the network transmit the fault information. According to the network environment different demand between delay of flooding and quality of operation, cost function of flooding delay and operation losing are set, the optimizing objective function synthesize...

Cloud computing is the latest technology that involves distributed computation over the Internet. It meets the needs of users through sharing resources and using virtual technology. The workflow user applications refer to a set of tasks to be processed within the cloud environment. Scheduling algorithms have a lot to do with the efficiency of cloud computing environments through selection of su...

with the explosive growth in amount of information, it is highly required to utilize tools and methods in order to search, filter and manage resources. one of the major problems in text classification relates to the high dimensional feature spaces. therefore, the main goal of text classification is to reduce the dimensionality of features space. there are many feature selection methods. however...

in this paper, an efficient fault-tolerant routing algorithm for mobile ad-hoc networks (manets) is presented. the proposed algorithm increases the network fault-tolerance using natural redundancy of ad-hoc networks. this algorithm is carried out in two stages; 1) the selection of backup nodes 2) the selection of backup route(s). in the first stage, the proposed algorithm chooses nodes with the...

In presenting this thesis in partial fulfillment of the requirements for a Master's degree at The University of Memphis, I agree that the Library shall make it available to borrowers under rules of the Library. Brief quotations from this thesis are allowable without special permission, provided that accurate acknowledgement of the source is made. Permission for extensive quotation from or repro...

 In this paper, we propose a new gene selection algorithm based on Shuffled Frog Leaping Algorithm that is called SFLA-FS. The proposed algorithm is used for improving cancer classification accuracy. Most of the biological datasets such as cancer datasets have a large number of genes and few samples. However, most of these genes are not usable in some tasks for example in cancer classification....