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Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning
Research article (Engineering Applications of Computational Fluid Mechanics, 2024) · cited 10× · AI/ML
Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning
Summary
Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning is a scholarly article[1].
Key Facts
Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/improve-carbon-dioxide-emission-prediction-in-the-asia-and-oceania-oecd-nature-inspired-optimisation-algorithms-versus-c
MLA“Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improve-carbon-dioxide-emission-prediction-in-the-asia-and-oceania-oecd-nature-inspired-optimisation-algorithms-versus-c.
BibTeX@misc{4ortxyz_improve-carbon-dioxide-emission-prediction-in-the-asia-and-oceania-oecd-nature-inspired-optimisation-algorithms-versus-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/improve-carbon-dioxide-emission-prediction-in-the-asia-and-oceania-oecd-nature-inspired-optimisation-algorithms-versus-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning — https://4ort.xyz/entity/improve-carbon-dioxide-emission-prediction-in-the-asia-and-oceania-oecd-nature-inspired-optimisation-algorithms-versus-c (retrieved 2026-05-24)
