محمود ابو المجد سليمان مفضل

استاذ مساعد - مدير شبكة المعلومات

كلية الحاسبات والمعلومات

العنوان: كلية العلوم - قسم الرياضيات - شعبة الحاسب الألي


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2018 | الكلمات المفتاحية Networks, Computer Networks,
Multi-Objective Optimization to Find The Shortest Paths Tree Problem in The Computer Networks
Abstract: The shortest paths tree problem when considering cost and bandwidth constraints is addressed in this paper as multiobjective shortest paths tree problem. A multi-objective genetic algorithm is suitable to solve the presented problem. Therefore, this paper presents a multi-objective genetic algorithm based on Random Weighted Genetic Algorithm (RWGA) to solve the shortest paths tree problem subject to cost and ... إقراء المزيد

Adaptive Fingerprint Image Enhancement Based On Cascading Filtering
Automated Fingerprint Identification Systems (AFIS) have recently become one of the best-known and most widely used biometric technologies, which consists of various stages such as Image acquisition, enhancement, feature extraction and matching. The enhancement process is conducted to improve the quality of the fingerprint image and make it more legible and convenient for the further feature extraction process. In this ... إقراء المزيد

Recognition of Human Actions Based on Temporal Motion Templates
Despite their attractive properties of invariance, robustness and reliability, statistical motion descriptions from temporal templates have not apparently received the amount of attention they might deserve in the human action recognition literature. In this paper, we propose an innovative approach for action recognition, where a novel fuzzy representation based on temporal motion templates is developed to model human actions as ... إقراء المزيد

Video Object Extraction using the Curvelet Transform
In this paper a novel scheme for video object extraction based on the second generation of the curvelet transform which is called Fast Discrete Curvelet Transform (FDCT) via wrapping is introduced. The main advantages of using FDCT are the approximate properties and the high directional sensitivity of this transform. An imaginary component of the curvelet coefficients to extract the moving ... إقراء المزيد

Improved Bayesian Local Causal Discovery Algorithm
This study focused on the development and application of an efficient algorithm to induce causal relationships from observational data. The algorithm, called BLCD, is based on a causal Bayesian network framework. BLCD initially uses heuristic greedy search to derive the Markov Blanket (MB) of a node that serves as the "locality" for the identification of pair-wise causal relationships. BLCD takes ... إقراء المزيد

Performance Evaluation of AODV, BDA and DSR Routing Protocols in AD HOC Networks
Ad-hoc networking is a concept in computer communications, which means that users wanting to communicate with each other form a temporary network, without any form of centralized administration. Each node participating in the network acts both as host and a router and must therefore is willing to forward packets for other nodes. For this purpose, a routing protocol is needed. ... إقراء المزيد

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