Optimizing green supply chain circular economy in smart cities with integrated machine learning technology-Reference-Cited by-同舟云学术

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Optimizing green supply chain circular economy in smart cities with integrated machine learning technology

Published:2024-05 Issue:9 Volume:10 Page:e29825
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Liu Tao,Guan Xin,Wang Zeyu,Qin Tianqiao,Sun Rui,Wang Yadong

Publisher

Elsevier BV

Reference50 articles.

1. An innovative machine learning model for supply chain management;Lin;J. Innov. Knowl.,2022

2. Mitigating spread of contamination in meat supply chain management using deep learning;Amani;Sci. Rep.,2022

3. The role of big data analytics in enabling green supply chain management: a literature review;Liu;J. Digit. Inf. Manag.,2020

4. Integrating life cycle assessment and green supply chain management for sustainable business practices;Yun;Int. J. Eng. Appl. Sci.,2023

5. The impact of green supply chain management on green innovation: a meta-analysis from the inter-organizational learning perspective;Li;Int. J. Prod. Econ.,2022

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1. COVID-19 impact on wind and solar energy sector and cost of energy prediction based on machine learning;Heliyon;2024-09

2. A hybrid Machine learning solution for redesigning sustainable circular energy supply chains;Computers & Industrial Engineering;2024-09

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