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Data for: Flow interval prediction based on deep residual network and lower and upper boundary estimation method

Mendeley Data2021-03-02 更新2026-04-09 收录

流量预测

深度学习时间序列

数据链接：

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资源简介：

We selected the measured hydrological data from 1991 to 1999

应用场景：

创建时间：

2021-03-02

水文模型

流量预测

The National Water Model (NWM) is a water forecasting model operated by the National Water Center (NWC) of the NOAA National Weather Service. The NWM continually forecasts flows on 2.7 million stream

doi.org2024-10-07 更新780

Prognose zum Datentraffic über mobile Geräte weltweit bis 2021

移动互联网

流量预测

Diese Statistik zeigt das Datenvolumen des mobilen Internet-Traffics weltweit in den Jahren 2014 bis 2016 sowie eine Prognose bis 2021. Für 2018 wird erwartet, dass das globale Datenvolumen über mobil

de.statista.com2024-07-02 更新60

kaNSaaS_5G服务流量合成时间序列数据_2023

5G网络切片

流量预测

本数据集包含用于论文“kaNSaaS: Combining Deep Learning and Optimization for Practical Overbooking of Network Slices”的合成移动服务流量时间序列，涵盖5G的eMBB、uRLLC、mMTC三类服务的20组流量需求波动数据，与实际移动网络流量特性相似，共1个压缩文件。论文“kaNSaaS: Combining

海数据40

METR-LA

流量预测

不确定性量化

Traffic datasets for ICCPS "Uncertainty Quantification for Physics-Informed Traffic Graph Networks"

Figshare2025-02-05 更新60

Dataset for Global Daily Discharge Estimation Based on Grid-Scale Long Short-Term Memory (LSTM) Model and River Routing

水文模拟

流量预测

This dataset accompanies the following article: Yang, Yuan, et al., "Global Daily Discharge Estimation Based on Grid-Scale Long Short-Term Memory (LSTM) Model and River Routing".

NIAID Data Ecosystem40

Data for: Flow interval prediction based on deep residual network and lower and upper boundary estimation method

资源简介：

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