Long Short-Term Memory for Discharge Estimation in Coastal Neretva River-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Long Short-Term Memory for Discharge Estimation in Coastal Neretva River

Published:2023-06-20 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Smart and Sustainable Technologies (SpliTech)
language:
Short-container-title:

Author:

Mihel Anna Maria¹,Krvavica Nino²,Lerga Jonatan³

Affiliation:

1. University of Rijeka,Faculty of Engineering,Department of Computer Engineering,Rijeka,Croatia,51000

2. University of Rijeka,Faculty of Civil Engineering,Department of Hydrologic Engineering,Rijeka,Croatia,51000

3. University of Rijeka,Faculty of Engineering Center for Artificial Intelligence and Cybersecurity,Department of Computer Engineering,Rijeka,Croatia,51000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192574/10192583/10193648.pdf?arnumber=10193648

Reference16 articles.

1. Long Short-Term Memory

2. Exploring Temporal Dynamics of River Discharge using Univariate Long Short-Term Memory (LSTM) Recurrent Neural Network at East Branch of Delaware River;mehedi;Hydrology,2022

3. Cloud Sentiment Accuracy Comparison using RNN, LSTM and GRU

4. Development of discharge-stage curves affected by hysteresis using time varying models, model trees and neural networks

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP