Streamflow Prediction Using a Hybrid Methodology Based on Convolutional Neural Network and Long Short-Term Memory-Reference-Cited by-同舟云学术

Streamflow Prediction Using a Hybrid Methodology Based on Convolutional Neural Network and Long Short-Term Memory

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService)
language:
Short-container-title:

Author:

Rochac Juan F. Ramirez¹,Zhang Nian²,Deksissa Tolessa³,Mahmoud Wagdy H.¹

Affiliation:

1. University of the District of Columbia,Department of Computer Science and Information Technology,Washington,D.C.,USA

2. University of the District of Columbia,Department of Electrical and Computer Engineering,Washington,D.C.,USA

3. University of the District of Columbia,Water Resources Research Institute,Washington,D.C.,USA

Publisher

IEEE

Link

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Bayesian Optimized CNN-RNN Hybrid Model for Predicting Streamflow in Potomac River Basin;2024 16th International Conference on Advanced Computational Intelligence (ICACI);2024-05-16

3. Deep Learning-Based Plant Disease Image Recognition for Cyber-Physical Systems;2023 13th International Conference on Information Science and Technology (ICIST);2023-12-08