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An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations
Research article (Journal of Energy Storage, 2022) · cited 34× · AI/ML
An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations
Summary
An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations is a scholarly article[1].
Key Facts
An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimized-neuro-fuzzy-system-using-advance-nature-inspired-aquila-and-salp-swarm-algorithms-for-smart-predictive-resi
MLA“An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimized-neuro-fuzzy-system-using-advance-nature-inspired-aquila-and-salp-swarm-algorithms-for-smart-predictive-resi.
BibTeX@misc{4ortxyz_an-optimized-neuro-fuzzy-system-using-advance-nature-inspired-aquila-and-salp-swarm-algorithms-for-smart-predictive-resi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimized-neuro-fuzzy-system-using-advance-nature-inspired-aquila-and-salp-swarm-algorithms-for-smart-predictive-resi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations — https://4ort.xyz/entity/an-optimized-neuro-fuzzy-system-using-advance-nature-inspired-aquila-and-salp-swarm-algorithms-for-smart-predictive-resi (retrieved 2026-05-24)
