محمدرضا کیوانپور
دانشیار مهندسی نرمافزار کامپیوتر، دانشکدۀ فنی مهندسی دانشگاه الزهرا، تهران، ایران
[ 1 ] - ارائۀ مدل ابتکاری الگوریتم ژنتیک برای حل مسئلۀ برنامۀ آموزشی استادان با تأمین نظر دانشجویان
زمانبندی در برنامهریزی درسی دانشجویان و استادان با روشهای متنوعی صورت میگیرد. این تحقیق به حل مسئلۀ برنامۀ آموزشی استادان با تأمین نظر دانشجویان میپردازد. در این مسئله، تخصیص درس و زمان به استادان با در نظر گرفتن ساعت جلسۀ مشترک استادان و زمانبندی ساعات تدریس فشردۀ آنان و محدودیت کلاسها انجام میشود. بدین منظور، روش الگوریتم ژنتیک در دو مرحله بهکار برده شده است. در مرحلۀ اول الگوریتم، ا...
[ 2 ] - A new approach for data visualization problem
Data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. In this paper, we formulated d...
[ 3 ] - مرور مؤثر نتایج جستجوی تصاویر با تلخیص بصری و متنوع از طریق خوشه‌بندی
With unprecedented growth in production of digital images and use of multimedia references, requirement of image and subject search has been increased. Systematic processing of this information is a basic prerequisite for effective analysis, organization and management of it. Likewise, large collections of images have been made available on the Web and many search engines have provided the poss...
[ 4 ] - Document Image Retrieval Based on Keyword Spotting Using Relevance Feedback
Keyword Spotting is a well-known method in document image retrieval. In this method, Search in document images is based on query word image. In this Paper, an approach for document image retrieval based on keyword spotting has been proposed. In proposed method, a framework using relevance feedback is presented. Relevance feedback, an interactive and efficient method is used in this paper to imp...
[ 5 ] - MEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection
Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods need to consider both kind of features, features based on user level and features based o...
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