An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis. - Tiantian Yang; Ata Akabri Asanjan; Mohammad Faridzad; Negin Hayatbini; Xiaogang Gao; Soroosh Sorooshian (Inf. Sci., 2017)

Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS. - Negin Hayatbini; Kuo-lin Hsu; Soroosh Sorooshian; Yunji Zhang; Fuqing Zhang (CoRR, 2018)

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN. - Negin Hayatbini; Bailey Kong; Kuo-lin Hsu; Phu Nguyen; Soroosh Sorooshian; Graeme Stephens; Charless C. Fowlkes; Ramakrishna R. Nemani (Remote. Sens., 2019)

Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset. - Hamidreza Mosaffa; Mojtaba Sadeghi; Negin Hayatbini; Vesta Afzali Gorooh; Ata Akbari Asanjan; Phu Nguyen; Soroosh Sorooshian (Remote. Sens., 2020)

An Advanced Deep Learning and Computer Vision Framework for Precipitation Retrieval from Multi-spectral Satellite Information. - Negin Hayatbini (2020)