Diabetes mellitus is a chronic, life-threatening, and complicated condition. Around 1.5 million deaths due to diabetes have been documented, according to a World Health Organization (WHO) estimation in 2019. In the world of medicine, predicting diabetes risk is a difficult and time-consuming task. Many past studies have been conducted to investigate and clarify diabetes symptoms and variables. To solve these persisting issues, however, more critical clinical criteria must be considered. A comparative analysis based on three soft computing strategies for diabetes prediction has been carried out and achieved in this work. Among the computational intelligence methods used in this study are fuzzy analytical hierarchy processes (FAHP), support vector machine (SVM), and artificial neural networks (ANNs). The techniques reveal promising performance in predicting diabetes reliably and effectively in terms of several classification evaluation metrics, according to experimental analysis and assessment conducted on 520 participants using a publicly available dataset.
Various software organizations used software metrics to assessing and assuring operation, maintenance, and quality of software codes. Halstead is an essential type of software complexity metrics used to measure source code complexity. We presented a comparative analysis study using this metric to benefit software testing process by showing the possibility of software metrics to measure the characteristics of the software in all its aspects. Halstead metric is used to analyse the written code in python, C, JavaScript and Java programming languages. It provides a better tool to evaluate the complexity level of the language and displays the differences levels of code complexity. The conducted experiments show that python is the simplest programming language and Java is the difficulty and more complex language than others. These results benefit the automation in software metrics computation to decide which programming language can produce high quality and the less complexity software.
In our life, computer has entered in all fields and its impact appeared in solving many of problems. One of those problems is the ability to store and deal with a huge amount of data. Also, the consequent method of indexing, retrieving and preserving that data requires cost and effort we need for a long time. In this paper, the authors designed and implemented a new method of database for the Office of Security Permits at University of Diyala to resolve the routine process and change the traditional work into an advanced digital work. This database has designed based on a software application with interface programed in C# and using Microsoft Access. The results show that this database management system has reflected remarkable achievement in administrational work at Office of Security Permits because it makes everything easy to deal with such as storing, adding, deleting data and printing the final reports.
The importance of information at present has increased the importance of database systems to organize the information we need, and to provide it for use in the appropriate and timely manner. Thus, the science of managing database systems evolved from a subtopic in computer applications to a basic subject and a major component of modern computer science, thus, database systems have become a key part of the Platform for Computer Science. This paper presents the design and Implementation of a Transcript System for college of engineering, University of Diyala, this system releases transcript by retrieving student’s data from database which later stored in Microsoft access database with user interfaces designed by using the tools of Microsoft Visual Studio 2010 (.Net). This system solves most of the problems which happen by using manual methods such as delay in the delivery student’s transcript, mistakes in the student data in the transcript (name, average...). The system provides sufficient capacity to facilitate the work of the registration staff with respect to data entry and validation and increases efficient service delivery and benefits both registration staff and students.
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