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Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset., , , , , , and . Remote. Sens., 12 (10): 1584 (2020)The Application of PERSIANN Family Datasets for Hydrological Modeling., , , , , and . Remote. Sens., 14 (15): 3675 (2022)Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN., , , , , , , and . Remote. Sens., 11 (19): 2193 (2019)Object-Based Assessment of Satellite Precipitation Products., , , and . Remote. Sens., 8 (7): 547 (2016)Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran., , , , , and . Remote. Sens., 12 (13): 2102 (2020)A Solution to the Crucial Problem of Population Degeneration in High-Dimensional Evolutionary Optimization., , and . IEEE Syst. J., 5 (3): 362-373 (2011)An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis., , , , , and . Inf. Sci., (2017)Short-term precipitation forecast based on the PERSIANN system and LSTM recurrent neural networks, , , , , and . Journal of Geophysical Research: Atmospheres, 123 (22): 12--543 (2018)Improving Precipitation Estimation Using Convolutional Neural Network, , , and . Water Resources Research, 55 (3): 2301--2321 (2019)Fortify particle swam optimizer (PSO) with principal components analysis: A case study in improving bound-handling for optimizing high-dimensional and complex problems., , and . IEEE Congress on Evolutionary Computation, page 1644-1648. IEEE, (2011)