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Negin Hayatbini
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2020 – today
- 2020
- [b1]Negin Hayatbini:
An Advanced Deep Learning and Computer Vision Framework for Precipitation Retrieval from Multi-spectral Satellite Information. University of California, Irvine, USA, 2020 - [j3]Hamidreza Mosaffa
, Mojtaba Sadeghi
Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset. Remote. Sens. 12(10): 1584 (2020)
2010 – 2019
- 2019
- [j2]Negin Hayatbini
Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN. Remote. Sens. 11(19): 2193 (2019) - 2018
- [i1]Negin Hayatbini, Kuo-lin Hsu, Soroosh Sorooshian, Yunji Zhang, Fuqing Zhang:
Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS. CoRR abs/1809.10801 (2018) - 2017
- [j1]Tiantian Yang
An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis. Inf. Sci. 418: 302-316 (2017)
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last updated on 2024-10-07 21:23 CEST by the dblp team
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