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Octane prediction from infrared spectroscopic data
Emad Al Ibrahim
,
Aamir Farooq
Mechanical Engineering
Physical Sciences and Engineering
Clean Combustion Research Center
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Scopus citations
Overview
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Engineering
Pure Component
50%
Research Octane Number
33%
Combustion Engine
33%
Motor Octane Number
33%
Prediction
33%
Aromatics
16%
Paraffin
16%
Alkene
16%
Antiknock Rating
16%
Hydrocarbon Mixture
16%
Molecular Weight
16%
Molar Basis
16%
Experimental Uncertainty
16%
Artificial Neural Network
16%
Aromatic Group
16%
Naphthenes
16%
Mean Absolute Error
16%
Generates
16%
Models
16%
Fuel
16%
Reduction
16%
Correlation
16%
Chemistry
Group
100%
Spectra
83%
Hydrocarbon
33%
Gasoline
33%
Octane
33%
Alkane
16%
Substance Spectroscopy
16%
Alkene
16%
Ethanol
16%
Octane Number
16%
IR Spectroscopy
16%
Molecular Mass
16%
Procedure
16%
Fuel
16%
Chemical Engineering
Hydrocarbon
33%
Paraffin
16%
Olefin
16%
Ethanol
16%
Neural Network
16%