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Today, web is growing rapidly, the users get easily lost in the web's rich hyper structure. The primary goal of the web site owner is to provide the relevant information to the users to fulfill their needs. Web mining technique is used to categorize users and pages by analyzing users behavior, the content of pages and order of URLs accessed. This paper(More)
Le présent article relevant du domaine de l'Automatique en général, et de l'Intelligence Artificielle en particulier, est consacré à l'utilisation des réseaux de neurones pour la commande d'un système dynamique non-linéaire. Il constitue une contribution de l'Intelligence Artificielle pour l'analyse et la commande des systèmes dynamiques. L'approche(More)
INTRODUCTION Diarrhoea continues to cause significant morbidity in Egypt. AIM To determine the frequency and distribution of different enteropathogens in acute diarrhoeal episodes, utilising an expanded testing regimen, and to correlate clinical signs and symptoms associated with the detected pathogens. MATERIAL AND METHODS The case-control study(More)
1. The thesis is the property of Universiti Teknologi Malaysia. 2. The Library of Universiti Teknologi Malaysia has the right to make copies for the purpose of research only. 3. The Library has the right to make copies of the thesis for academic exchange. NOTES : * If the thesis is CONFIDENTAL or RESTRICTED, please attach with the letter from the(More)
Self localization of mobile autonomous systems is fundamental step in various applications, such as assistant navigation systems for blind people or smart house appliances. This paper presents a novel framework for Vision-based Simultaneous Localization and Mapping which focuses on the class of indoor mobile robots using only a monocular camera. A method to(More)
— The aim of this work is the combination of radial basis function networks (RBF) and fuzzy techniques to enhance the sliding mode controllers. In fact, three RBFs networks were used to estimate the model parameters and to respond to model variation and disturbances, a sequential training algorithm based on Kalman filter was implemented, and to eliminate(More)
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