Javad Zare

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In the present work, the performance of an air-to-refrigerant laminated type evaporator is predicted using a genetic algorithm (GA)-integrated feed-forward neural network (FFNN) and recurrent neural network (RNN). The obtained results are compared with the results of the FFNN with back-propagation learning algorithm, as the most recommended algorithm in the(More)
Resource scheduling approaches (RSA) are the core component of mobile cloud computing (MCC) systems that aim to optimally allocate cloud-based remote resources to resource-intensive components of mobile applications. The ultimate goal of RSA is to reduce execution time and energy consumption of resource-intensive mobile applications which contributes to(More)
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