Kuo-Lin Hsu - researchr alias

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Viewing Publication 1 - 7 from 7

2020

Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCSVesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-Lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani. remotesensing, 12(2):316, 2020. [doi]

Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of IranPari-Sima Katiraie-Boroujerdy, Matin Rahnamay Naeini, Ata Akbari Asanjan, Ali Chavoshian, Kuo-Lin Hsu, Soroosh Sorooshian. remotesensing, 12(13):2102, 2020. [doi]

2019

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGANNegin Hayatbini, Bailey Kong, Kuo-Lin Hsu, Phu Nguyen, Soroosh Sorooshian, Graeme Stephens, Charless C. Fowlkes, Ramakrishna Nemani. remotesensing, 11(19):2193, 2019. [doi]

2018

Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization frameworkMatin Rahnamay Naeini, Tiantian Yang, Mojtaba Sadegh, Amir Aghakouchak, Kuo-Lin Hsu, Soroosh Sorooshian, Qingyun Duan, Xiaohui Lei. envsoft, 104:215-235, 2018. [doi]

2017

Toward An Integrated Approach to Localizing Failures in Community Water NetworksQing Han, Phu Nguyen, Ronald T. Eguchi, Kuo-Lin Hsu, Nalini Venkatasubramanian. icdcs 2017: 1250-1260 [doi]

Toward an Integrated Approach to Localizing Failures in Community Water Networks (DEMO)Qing Han, Phu Nguyen, Ronald T. Eguchi, Kuo-Lin Hsu, Nalini Venkatasubramanian. icdcs 2017: 2505-2506 [doi]

1997

Superior training of artificial neural networks using weight-space partitioningHoshin V. Gupta, Kuo-Lin Hsu, Soroosh Sorooshian. icnn 1997: 1919-1923 [doi]

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