Predictive modeling of CO2 capture efficiency using piperazine solutions: a comparative study of white-box algorithms

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Predictive modeling of CO2 capture efficiency using piperazine solutions: a comparative study of white-box algorithms ; volume:6 ; number:11 ; day:6 ; month:11 ; year:2024 ; pages:1-18 ; date:11.2024
Discover applied sciences ; 6, Heft 11 (6.11.2024), 1-18, 11.2024

Creator: Hadavimoghaddam, Fahimeh
Wei, Jianguang
Rozhenko, Alexei
Pourafshary, Peyman
Hemmati-Sarapardeh, Abdolhossein

Contributor: SpringerLink (Online service)

DOI: 10.1007/s42452-024-06240-2

URN: urn:nbn:de:101:1-2501242129140.410154438037

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:33 AM CEST

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Hadavimoghaddam, Fahimeh
Wei, Jianguang
Rozhenko, Alexei
Pourafshary, Peyman
Hemmati-Sarapardeh, Abdolhossein
SpringerLink (Online service)

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Predictive modeling of CO2 capture efficiency using piperazine solutions: a comparative study of white-box algorithms

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Other Objects (12)

Predictive modeling of CO2 solubility in piperazine aqueous solutions using boosting algorithms for carbon capture goals

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Shape decomposition algorithms for laser capture microdissection

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Capture and recycle of industrial CO2 emissions using microalgae

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Reactive capture of CO2 via amino acid

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