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Enhancing shale gas EUR predictions with TPE optimized SMOGN: A comparative study of machine learning algorithms in the marcellus shale with an imbalanced dataset
Research article (Gas Science and Engineering, 2024) · cited 19× · AI/ML
Enhancing shale gas EUR predictions with TPE optimized SMOGN: A comparative study of machine learning algorithms in the marcellus shale with an imbalanced dataset
Summary
Enhancing shale gas EUR predictions with TPE optimized SMOGN: A comparative study of machine learning algorithms in the marcellus shale with an imbalanced dataset is a scholarly article[1].
Key Facts
Enhancing shale gas EUR predictions with TPE optimized SMOGN: A comparative study of machine learning algorithms in the marcellus shale with an imbalanced dataset's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Enhancing shale gas EUR predictions with TPE optimized SMOGN: A comparative study of machine learning algorithms in the marcellus shale with an imbalanced dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-shale-gas-eur-predictions-with-tpe-optimized-smogn-a-comparative-study-of-machine-learning-algorithms-in-the-m
MLA“Enhancing shale gas EUR predictions with TPE optimized SMOGN: A comparative study of machine learning algorithms in the marcellus shale with an imbalanced dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-shale-gas-eur-predictions-with-tpe-optimized-smogn-a-comparative-study-of-machine-learning-algorithms-in-the-m.
BibTeX@misc{4ortxyz_enhancing-shale-gas-eur-predictions-with-tpe-optimized-smogn-a-comparative-study-of-machine-learning-algorithms-in-the-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing shale gas EUR predictions with TPE optimized SMOGN: A comparative study of machine learning algorithms in the marcellus shale with an imbalanced dataset}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-shale-gas-eur-predictions-with-tpe-optimized-smogn-a-comparative-study-of-machine-learning-algorithms-in-the-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing shale gas EUR predictions with TPE optimized SMOGN: A comparative study of machine learning algorithms in the marcellus shale with an imbalanced dataset — https://4ort.xyz/entity/enhancing-shale-gas-eur-predictions-with-tpe-optimized-smogn-a-comparative-study-of-machine-learning-algorithms-in-the-m (retrieved 2026-05-24)