Mohamed A. Mattar

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In this paper, we examine the discharge of labyrinth-channel emitters under different operating pressures (P) and water temperatures (T). An artificial neural network (ANN) and multiple linear regression (MLR) model are developed for the emitter flow variation (qvar) and the manufacturer’s coefficient of variation (CV). As well as P and T, the structural(More)
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