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The concept of Cloud computing is to outsource IT data in remote servers. Data security issues are still being discussed, but the economic and ergonomic gains are not disputed by anyone. Cloud computing is also an opportunity for universities that wish to use information technologies and communication. Higher education institutions must exploit the(More)
In recent years, energy conservation has become a major issue in information technology. Cloud computing is an emerging model for distributed utility computing and is being considered as an attractive opportunity for saving energy through central management of computational resources. Obviously, a substantial reduction in energy consumption can be made by(More)
Evolutionary algorithms are considered more efficient for optimal system design because they can provide higher opportunity for obtaining the global optimal solution. This paper introduces a method for construct and train Recurrent Neural Networks (RNN) by means of Multi-Objective Genetic Algorithms (MOGA). The use of a multi-objective evolutionary(More)
Classical training methods for Recurrent Neural Networks (RNN) suffer from being trapped in local minimal and having a high computational time. This suggests that the problems of developing methods to determine new training algorithms should be studied. This paper describes a novel hybrid method of RNN and Genetic Algorithm (GA) for phonemes recognition. We(More)
Due to all the pollutants generated by it and the steady increases in its rates, energy consumption has become a key issue. Cloud computing is an emerging model for distributed utility computing and is being considered as an attractive opportunity for saving energy through central management of computational resources. Obviously, a substantial reduction in(More)
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