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An attempt has been made to simulate the concentrations at three districts in Dhaka, Bangladesh using Deep Learning methods by applying Hybrid Stacked Bi-directional Long Short-Term Memory with Attention Mechanism (HSBi-LSTMA) method, which significantly improves the air pollution prediction accuracy and reduces the mean absolute error as compared to the existing methods.