A. Farah

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The aim of this paper is to propose a new high-level hardware design reuse methodology for automatic generation of artificial neural networks (ANNs) descriptions. A case study of the back propagation (BP) algorithm is proposed. To achieve our goal, the proposed design methodology is based on a modular design of the ANN. The originality of the work is the(More)
BACKGROUND Exacerbations of heart failure appear frequently associated with precipitating factors not directly related to the evolution of cardiac disease. There still a paucity of data on the proportional distribution of precipitating factors specifically in elderly patients. The aim of this study was to examine prospectively the precipitating factors(More)
The aim of this paper is to propose a new classification approach of artificial neural networks hardware. Our motivation behind this work is justified by the following two arguments: first, during the last two decades a lot of approaches have been proposed for classification of neural networks hardware. However, at present there is not a clear consensus on(More)
—In several complex applications, the use of multiple autonomous robotic systems (ARS) becomes necessary to achieve different tasks, such as foraging and transport of heavy and large objects, with less cost and more efficiency. They have to achieve a high level of flexibility, adaptability and efficiency in real environments. In this paper, a reinforcement(More)
Signal flow determination of CMOS/VLSI digital circuits is a key issue for switch-level CAD tools such as timing and testability analyzers, or functional abstractors, ATPGs etc .. and even some simulators. It is used to preprocess circuit MOS transistors in order to improve both the accuracy and the running time of these CAD tools. Existing algorithms can(More)
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