Kuolin Hsu

Orcid: 0000-0002-3578-3565

According to our database1, Kuolin Hsu authored at least 14 papers between 1997 and 2021.

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Bibliography

2021
Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling.
Remote. Sens., 2021

2020
Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran.
Remote. Sens., 2020

Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS.
Remote. Sens., 2020

Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information.
Environ. Model. Softw., 2020

2019
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., 2019

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN.
Remote. Sens., 2019

2018
Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework.
Environ. Model. Softw., 2018

Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS.
CoRR, 2018

2017
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., 2017

Toward an Integrated Approach to Localizing Failures in Community Water Networks (DEMO).
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Toward An Integrated Approach to Localizing Failures in Community Water Networks.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2016
Object-Based Assessment of Satellite Precipitation Products.
Remote. Sens., 2016

Deep neural networks for precipitation estimation from remotely sensed information.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

1997
Superior training of artificial neural networks using weight-space partitioning.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997


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