Carbon-Credit Monitoring and Prediction in Smart Factory using Explainable AI and Data Analytics-Reference-Cited by-同舟云学术

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Carbon-Credit Monitoring and Prediction in Smart Factory using Explainable AI and Data Analytics

Published:2023-10-11 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Information and Communication Technology Convergence (ICTC)
language:
Short-container-title:

Author:

Nwakanma Cosmas Ifeanyi¹,Uwakwe Martin²,Ajere Ikenna Uzoma³,Nkoro Ebuka Chinaechetam⁴,Ahakonye Love Allen Chijioke⁴,Kim Dong-Seong⁴

Affiliation:

1. Kumoh National Institute of Technology,ICT Convergence Research Center,Korea

2. Western Illinois University,Applied Statistics and Decision Analytics,USA

3. Federal University of Technology,Information Technology,Owerri,Nigeria

4. Kumoh National Institute of Technology,IT Convergence Engineering,Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391854/10391860/10393656.pdf?arnumber=10393656

Reference18 articles.

1. AI and Carbon Credits: How the Emergence of AI Tools and Technologies Facilitates the Use of Carbon Credits;Lutfi,2023

2. A Blueprint for Scaling Voluntary Carbon Markets to Meet the Climate Challenge;Blaufelder,2021

3. A multi-stage method to predict carbon dioxide emissions using dimensionality reduction, clustering, and machine learning techniques

4. Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach

5. DreamSketch

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