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Olubunmi F. Atilola

affiliation not provided to SSRN

SCHOLARLY PAPERS

2

DOWNLOADS

31

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

Real-time engine operation prediction using machine learning towards maximizing high usage of n-Pentanol for enhanced efficiency and reduced engine-out emissions

Number of pages: 98 Posted: 05 Mar 2026
Jiangsu University, affiliation not provided to SSRN, Jiangsu University, affiliation not provided to SSRN, Jiangsu University, Redeemer's University, Cape Peninsula University of Technology, affiliation not provided to SSRN, Jiangsu University - Institute for Energy Research and Jiangsu University
Downloads 22 (1,448,301)

Abstract:

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n-Pentanol, internal combustion engine, Machine Learning, emissions reduction, combustion efficiency

2.

A dataset-agnostic machine learning framework for real-time optimization of 60% n-Pentanol/diesel combustion in compression ignition engines

Number of pages: 32 Posted: 15 Jun 2026
Jiangsu University, Jiangsu University, affiliation not provided to SSRN, Jiangsu University, Redeemer's University, Cape Peninsula University of Technology, affiliation not provided to SSRN, Jiangsu University - Institute for Energy Research and Jiangsu University
Downloads 9

Abstract:

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n-Pentanol, Machine learning, engine optimization, neural network, emissions prediction