Ensemble Learning Models for Large-Scale Time Series Forecasting in Supply Chain-Reference-Cited by-同舟云学术

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Ensemble Learning Models for Large-Scale Time Series Forecasting in Supply Chain

Published:2023-11-01 Issue: Volume:93 Page:2286-2294
ISSN:
Container-title:2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Author:

Zhang Minjuan¹,Wu Chase Q.¹,Hou Aiqin²

Affiliation:

1. New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA,07102

2. Northwest University,School of Information Science and Technology,Xi’an,China,710127

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10538469/10538471/10538958.pdf?arnumber=10538958

Reference15 articles.

1. Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector

2. Digitalization within food supply chains to prevent food waste;drivers, barriers and collaboration practices,2021

3. Recovering the local: From glocalization to localization

4. Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions

5. Recent Developments on Security and Reliability in Large-Scale Data Processing with MapReduce

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