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This paper presents the classification of benign and malignant breast tumor based on fine needle aspiration cytology (FNAC) and probabilistic neural network (PNN). Five hundred and sixty nine sets of cell nuclei characteristics obtained by applying image analysis techniques to microscopic slides of FNAC samples of breast biopsy have been used in this study. These data were obtained from the University...
This paper shows an approach for ECG signal processing based on artificial neural networks ANN and transform domains (discrete wavelet transform DWT and Fourier transform FT). The neural networks NNs are introduced to solve different pattern recognition problems associated with ECG analysis. A Multi-Layer Perceptron Neural Network MLP-NN is used in the present work with Back Propagation BP algorithm...
This paper proposes a smart antennas system (SAS) to be added to the conventional 2-D rake receiver of the WCDMA. The main idea behind the proposed system is the beam forming of both the uplink and downlink according to the locations of sources or users which are being estimated by an efficient direction of arrival (DOA) estimator which covers the full azimuth range. In this way, the system will work...
The smart card is a plastic card embedded with an integrated circuit chip that, when interfaced with a reader device, has the processing power to serve many different applications. This paper introduces a computer software named: Smart Card Simulation Software (SCSS) which is programmed using Visual Basic version 6 to simulates a terminal and a smart card communication. It supports a wide variety...
Symbolic network analysis gained growing interest as it aims at producing outputs in the form of expressions that containing both variables and numbers. However, such analysis faces the primary difficulty of the exponential growth of product terms in a symbolic network function with respect to circuit size. This long-standing difficulty is only partially overcome by various symbolic approximations...
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