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2020 – today
- 2021
[j9]Yuhang Zhang
, Aizhong Ye, Phu Nguyen, Bita Analui, Soroosh Sorooshian, Kuolin Hsu:
Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling. Remote. Sens. 13(16): 3061 (2021)- 2020
- [j8]Mojtaba Sadeghi, Phu Nguyen, Kuolin Hsu, Soroosh Sorooshian:
Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information. Environ. Model. Softw. 134: 104856 (2020) - [j7]Vesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani:
Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS. Remote. Sens. 12(2): 316 (2020) - [j6]Pari-Sima Katiraie-Boroujerdy, Matin Rahnamay Naeini, Ata Akbari Asanjan, Ali Chavoshian, Kuo-lin Hsu, Soroosh Sorooshian:
Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran. Remote. Sens. 12(13): 2102 (2020)
2010 – 2019
- 2019
- [j5]Negin Hayatbini, Bailey Kong, Kuo-lin Hsu, Phu Nguyen, Soroosh Sorooshian, Graeme Stephens, Charless C. Fowlkes, Ramakrishna R. Nemani:
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) - [j4]Mojtaba Sadeghi, Ata Akabri Asanjan, Mohammad Faridzad, Vesta Afzali Gorooh, Phu Nguyen, Kuolin Hsu, Soroosh Sorooshian, Dan Braithwaite:
Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale. Remote. Sens. 11(23): 2755 (2019) - 2018
- [j3]Matin Rahnamay Naeini, Tiantian Yang, Mojtaba Sadegh, Amir Aghakouchak, Kuo-Lin Hsu, Soroosh Sorooshian, Qingyun Duan, Xiaohui Lei:
Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework. Environ. Model. Softw. 104: 215-235 (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
- [j2]Xiaoduo Pan, Xin Li, Guodong Cheng, Rensheng Chen, Kuolin Hsu:
Impact Analysis of Climate Change on Snow over a Complex Mountainous Region Using Weather Research and Forecast Model (WRF) Simulation and Moderate Resolution Imaging Spectroradiometer Data (MODIS)-Terra Fractional Snow Cover Products. Remote. Sens. 9(8): 774 (2017) - [c4]Qing Han, Phu Nguyen, Ronald T. Eguchi, Kuo-Lin Hsu, Nalini Venkatasubramanian:
Toward An Integrated Approach to Localizing Failures in Community Water Networks. ICDCS 2017: 1250-1260 - [c3]Qing Han, Phu Nguyen, Ronald T. Eguchi, Kuo-Lin Hsu, Nalini Venkatasubramanian:
Toward an Integrated Approach to Localizing Failures in Community Water Networks (DEMO). ICDCS 2017: 2505-2506 - 2016
- [j1]Jingjing Li, Kuolin Hsu, Amir Aghakouchak, Soroosh Sorooshian:
Object-Based Assessment of Satellite Precipitation Products. Remote. Sens. 8(7): 547 (2016) - [c2]Yumeng Tao, Xiaogang Gao, Alexander Ihler, Kuolin Hsu, Soroosh Sorooshian:
Deep neural networks for precipitation estimation from remotely sensed information. CEC 2016: 1349-1355
1990 – 1999
- 1997
- [c1]Hoshin V. Gupta, Kuo-lin Hsu, Soroosh Sorooshian:
Superior training of artificial neural networks using weight-space partitioning. ICNN 1997: 1919-1923
Coauthor Index
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