Nidal F. Shilbayeh

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Problem statement: The effect of varying the number of nodes in the hidden layer and number of iterations are important factors in the recognition rate. In this paper, a novel and effective criterion based on Cross Pruning (CP) algorithm is proposed to optimize number of hidden neurons and number of iterations in Multi Layer Perceptron (MLP) neural based(More)
With the spread of the internet and networks, more people are relying on information sharing to research any subject. The number of Websites that are providing information on a single subject is huge. Some subjects and issues are somehow more sensitive to some people than others. However, there is no agreed upon mechanism for authenticating the content(More)
Handwritten Hindi digit recognition plays an important role in eastern Arab countries especially in the courtesy amounts of Arab bank checks, recognizing numbers in car plates, or in postal code for mail sorting. In our study, we proposed an efficient Hindi Digit Recognition System drawn by the mouse and developed using Multilayer Perceptron Neural Network(More)
Face detection is the problem of determining whether there are human faces in the image and tries to make a judgment on whether or not that image contains a face. In this paper, we propose a face detector using an efficient architecture based on a Multi-Layer Perceptron (MLP) neural network and Maximal Rejection Classifier (MRC). The proposed approach(More)
An electronic nose system for quality control of coffee is designed and tested. The system uses the Figaro TGS800 series sensors with an integrated heating element. The testing of the system is carried out using different types of coffee where it is proved successful in classifying the tested coffees and actual discrimination of ingredients into different(More)
Multiplicative inverse is a crucial operation in public key cryptography, and been widely used in cryptography. Public key cryptography has given rise to such a need, in which we need to generate a related public and private pair of numbers, each of which is the inverse of the other. The basic method to find multiplicative inverses is Extended-Euclidean(More)
This paper is intended to present the outcome of a study conducted on the cavitation data collected from accelerometer which is installed at the down stream of the cavitation test loop, to illustrate that the hidden neurons in an ANN modelling tool, indeed, do have roles to play in percentage of classification of cavitation signal. It sheds light on the(More)
A wireless network system based on an infrared and Laser scanning physical token ring architecture (W-PTRS) was designed, built, and tested successfully. The network provides a different way of utilizing the concept of token ring network but with a higher efficiency related to the speed of data transfer and the ability to parallel process client–server(More)
Handwritten Hindi digit recognition plays an important role in eastern Arab countries especially in the courtesy amounts of Arab bank checks. In this paper, we proposed an efficient offline handwritten Hindi digits recognition system and developed using Multilayer Perceptron Neural Network (MLP). The implemented system recognizes separated handwritten Hindi(More)
The number of reported incidents pertaining to websites attacks has been significantly increased. Websites which provides Islamic contents are no exception. Previously a general architecture of security protocol for websites authentication and content integrity has been planned, introduced and proposed. This paper presents a universal and inclusive(More)