Design of a Hybrid Artificial Intelligence System for Real-Time Quantification of Impurities in Gas Streams: Application in Co2 Capture and Storage-Reference-Cited by-同舟云学术

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Design of a Hybrid Artificial Intelligence System for Real-Time Quantification of Impurities in Gas Streams: Application in Co2 Capture and Storage

Published:2023 Issue: Volume: Page:
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Author:

Aminaho Efenwengbe Nicholas,Aminaho Ndukaegho Sabastine,Hossain Mamdud,Faisal Nadimul

Publisher

Elsevier BV

Reference49 articles.

1. Ultra-selective tin oxide-based chemiresistive gas sensor employing signal transform and machine learning techniques;S Acharyya;Analytica Chimica Acta,2022

2. Reservoir Characterization for CO 2 Sequestration and CO 2 -Enhanced Oil Recovery Techniques in Maje Field;T O Agunbiade;SPE Nigeria Annual International Conference and Exhibition,2023

3. CO 2 -brine-rock interactions: The effect of impurities on grain size distribution and reservoir permeability;M D Aminu;International Journal of Greenhouse Gas Control,2018

4. Multiple-input-multipleoutput general regression neural networks model for the simultaneous estimation of trafficrelated air pollutant emissions;D Antanasijevi?;Atmospheric Pollution Research,2018

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