No abstract
Heart diagnosis is not always possible at every medical center, especially in the rural areas where less support and care, due to lack of advanced heart diagnosis equipment. Also, physician intuition and experience are not always sufficient to achieve high quality medical procedures results. Therefore, medical errors and undesirable results are reasons for a need for unconventional computer-based diagnosis systems, which in turns reduce medical fatal errors, increasing the patient safety and save lives. The proposed solution, which is based on an Artificial Neural Networks (ANNs), provides a decision support system to identify three main heart diseases: mitral stenosis, aortic stenosis and ventricular septal defect. Furthermore, the system deals with an encouraging opportunity to develop an operational screening and testing device for heart disease diagnosis and can deliver great assistance for clinicians to make advanced heart diagnosis. Using real medical data, series of experiments have been conducted to examine the performance and accuracy of the proposed solution. Compared results revealed that the system performance and accuracy are acceptable, with a heart diseases classification accuracy of 92%.
No doubt that there is a great demand on digital era. Reaching millions of customers using internet encourages all companies regardless of their types to build their own websites and market their products, services and information through internet. In this paper, an enhanced framework is developed which can be used from different types of informative companies to build a successful website. The established framework is specified for informative and news sites such as CNN, BBC, Wikipedia, and Aljazeera and can be adapted and customized to fit companies' needs. Additionally, ddetailed analysis of all factors that affect building successful websites from different perspectives has been conducted. Further, all successful factors which must be embedded in any informative site and how each one can affect the overall process of delivering information to customers have been demonstrated.
This research represents one of the steps aimed to address one of the most important challenges on the Web and digital libraries, which is compute the rank of the document’s, and its importance, and their relevance to the user and to meet their needs for information, and so by taking advantage of the vast potential of logic Fuzzy in dealing with this kind of problems, and provide high flexibility for the user to clarify the issues and areas that interested them. This research is concernd on the design and implementation of a proposal for the information retrieval system, called Fuzzy Information Retrieval System(FZIRS). This system is designed to deal with a huge distributed database on a group of computers (servers) associated with the Intranet network specially designed to work the system, which includes different types and sizes of text files. The proposed system has the ability for mining of data mining from the database and retrieve useful information from them and that meet the user's needs well. This accomlished through the applying of the proposed algorithms for indexing operations and calculate the rank of documents and generate keywords operations and display the retrival results, which showed high quality when calculating results compared with other Information retrieving algorithms.
With the development of Internet technology and electronic transactions, the problem of software security has become a reality that must be confronted and is no longer an option that can be abandoned. For this reason, software must be protected in all available ways. Where attackers use many methods to enable them to penetrate systems, especially those that rely on the Internet and hackers try to identify the vulnerabilities in the programs and exploit them to enter the database and steal sensitive information. Electronic phishing is a form of illegal access to information, such as user names, passwords, credit card details, etc. Where attackers use different types of tricks to reveal confidential user information. Where attacks appear as links and phishing is done by clicking on the links contained in them. This leads to obtaining confidential information by using those false emails, redirecting the user without his knowledge to a site similar to the site he wants to access and capturing information. The main purpose of this paper is to protect users from malicious pages that are intended to steal personal information. Therefore, an electronic phishing detection algorithm called the SMO algorithm, which deals only with the properties of links, has been used. Weka was used in the classification process. The samples were the characteristics of the links and they contain a number of sites which were 8266 and the number of phishing sites 4116 and legitimate sites 4150 sites and results were found to be new for the previous algorithms where the real classification rate 99.0202% in the time of 1.68 seconds.
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