Machine learning modeling for optimization of sulfur compounds separation from fuels: Process optimization for reduction of environmental pollution
Author:
Funder
King Khalid University
Publisher
Elsevier BV
Subject
Fluid Flow and Transfer Processes,Engineering (miscellaneous)
Reference23 articles.
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2. Microbial removal of sulphur from petroleum coke (petcoke);Tripathi;Fuel,2019
3. Catalytic performance and sulfur resistance of OMS-2 modified by copper for mercury removal at low temperature;Han;Fuel,2023
4. Catalytic cracking additives based on mesoporous MCM-41 for sulfur removal;Karakhanov;Fuel Process. Technol.,2016
5. Efficient removal of carbonyl sulfur and hydrogen sulfide from blast furnace gas by one-step catalytic process with modified activated carbon;Li;Appl. Surf. Sci.,2022
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4. Machine learning optimization for catalytic desulfurization of petroleum: Multi-layered perceptron, Multi Task Lasso, and Gaussian process regression models;Journal of Molecular Liquids;2024-04
5. Machine learning-based optimization for catalytic sulfur removal: Computational modeling and analysis of fuel purification for reduction of environmental impacts;Case Studies in Thermal Engineering;2024-01
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