M.Sc.

The problem of handwritten recognition considered to be very important problem because of its numerous applications and theoretical values in the domain of pattern recognition.In this research, models of Neural Networks are used to recognize written characters, applying Artificial Neural Network (ANN) of three types, which are: - Kohenen All Classes in One Network (ACON), Kohenen  One Class in One Network(OCON), and Learning Vector Quantization (LVQ).The feature extraction process made use of Haar Wavelet Transformation to extract the parametric features of the

The present work is an attempt to develop an Arabic expert system shell for general diagnosing systems. The system abbreviated as GADESS (General Arabic Diagnosing Expert System Shell), it is onstructed of two phases. The first phase responsible for acquiring human expert knowledge in an automatic way provided with menu and windows message (expert interface).

     The amount of information on the Web is growing rapidly, as well as the number of new users inexperienced in the art of Web research, which leads to the development of many Web applications called search engines specialized in helping the user in finding the information needed on the Web. Web site search engine is software used for searching a specific Web site for a specific query. This research aims to develop a Web site search engine that helps the user to find the most relevant Web pages with the user queries.