Magda Bahaa Eldin Fayek

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Summarization is the process of producing shorter presentation of the most important information from a source or multiple sources of information according to particular needs. With summaries, we can make effective decisions and get useful information in less time. This paper introduces an Arabic extractive text summarization system. This system integrates(More)
Sketch recognition is defined as the process of identifying symbols that users draw using single or multiple strokes. Users draw strokes using a pen and the system immediately interprets their strokes as objects that can be easily manipulated. This paper uses Particle Swarm Optimization Algorithm (PSO) to divide the strokes the user draws into meaningful(More)
Software agents help automate a variety of tasks including those involved in buying and selling products over the internet. The need for handling complex highly onfigurable products, together with presenting important merchant value-added services gave rise to integrative negotiation protocols. In this paper we introduce GAMA, an agent-mediated shopping(More)
The advance of technology and extensive use of the web has prompt the need to summarization of text documents. Users tend to extract the most informative or indicative information instead of reading the whole original documents. Naturally, automatic text summarization will save time and effort for the users, and will enable them to make decisions in less(More)
Summarization is the process of producing shorter presentation of the most important information from a source or multiple sources of information according to particular needs. Summarization is not applied only on text documents but also on any multimedia facility. This paper introduces Bayesian method for Arabic extractive text summarization. We developed(More)
Autonomous robots are becoming an increasingly important tool for military, space exploration, and civilian applications. A key requirement for controlling mobile autonomous robots is the ability to express vehicle activity models as complex processes. This work presents PGen[1]; a generative activity planner that translates intended state evolution to an(More)
In this paper an Incremental GA techniques is proposed tosolve the problem of small disjuncts in classification trees. It is once applied on the disjuncts sorted in ascending orderand once in descending order with respect to their coverage. Both versions of the technique have been tested using benchmark datasets and the results are compared with thoseof(More)
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