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Octane prediction from infrared spectroscopic data
Emad Al Ibrahim,
Aamir Farooq
Mechanical Engineering
Physical Sciences and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
26
Scopus citations
Overview
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Engineering
Pure Component
100%
Research Octane Number
66%
Motor Octane Number
66%
Aromatics
33%
Alkene
33%
Antiknock Rating
33%
Combustion Engine
33%
Hydrocarbon Mixture
33%
Molar Basis
33%
Experimental Uncertainty
33%
Aromatic Group
33%
Nonlinear Regression
33%
Molecular Weight
33%
Mean Absolute Error
33%
Artificial Neural Network
33%
Naphthenes
33%
Chemistry
Substance Spectroscopy
100%
Octane
100%
Octane Number
100%
Purity
60%
Alkene
20%
IR Spectroscopy
20%
Combustion Engine
20%
Molecular Mass
20%
Vibrational Spectroscopy
20%
Chemical Engineering
Olefin
100%
Neural Network
100%
Keyphrases
Infrared Spectroscopic Data
100%