Aryan Yazdani

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Gas holdup in a bubble column reactor filled with oil-based liquids was estimated by an artificial neural network (ANN). The ANN was trained using experimental data from the literature with various sparger pore diameters and a bubbly flow regime. The trained ANN was able to predict that the gas holdup of data did not seen during the training period over the(More)
In this paper we study the effect of the clock signal's pulse width on the bit error rate (BER) of optical time division multiplexing (OTDM) networks. The receiver is considered to have a non-ideal optical clock recovery and, therefore, there is a time mismatch between the clock and data signals, which is called phase error. In this work, the phase error is(More)
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