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Blockchain and Machine Learning in the Green Economy: Pioneering Carbon Neutrality Through Innovative Trading Technologies
IEEE Transactions on Engineering Management, Volume: 72, Pages: 1117 - 1139
Swansea University Author:
Mohammad Abedin
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Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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DOI (Published version): 10.1109/tem.2025.3547730
Abstract
Blockchain and Machine Learning in the Green Economy: Pioneering Carbon Neutrality Through Innovative Trading Technologies
| Published in: | IEEE Transactions on Engineering Management |
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| ISSN: | 0018-9391 1558-0040 |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2025
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69290 |
| Keywords: |
Carbon neutral, Blockchains, Smart contracts, Automated machine learning, Emissions trading, Pricing, Forecasting, Climate change, Emissions trading, Biological system modeling, Data models, Predictive models, Time series analysis, Autonomous systems, Market research |
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| College: |
Faculty of Humanities and Social Sciences |
| Funders: |
Research Fund of Guangxi Key Lab of Multisource Information (Grant Number: MIMS24-06); Fundamental Research Funds for the Central Universities (Grant Number: 93K172024K12) |
| Start Page: |
1117 |
| End Page: |
1139 |

