| Predicting octane number using nuclear magnetic resonance spectroscopy and artificial neural networks AG Abdul Jameel, VCO van Oudenhoven, AH Emwas, SM Sarathy Energy & Fuels 32 (5), 6309-6329, 2018 | 133 | 2018 |
| Machine Learning to Predict Standard Enthalpy of Formation of Hydrocarbons KK Yalamanchi, VCO van Oudenhoven, F Tutino, M Monge-Palacios, ... The Journal of Physical Chemistry A, 2019 | 52 | 2019 |
| Data Science Approach to Estimate Enthalpy of Formation of Cyclic Hydrocarbons KK Yalamanchi, M Monge-Palacios, VCO van Oudenhoven, X Gao, ... The Journal of Physical Chemistry A 124 (31), 6270-6276, 2020 | 24 | 2020 |
| Predicting Ignition Quality of Oxygenated Fuels Using Artificial Neural Networks AGA Jameel, VCO Oudenhoven, N Naser, AH Emwas, X Gao, SM Sarathy SAE International Journal of Fuels and Lubricants 14 (04-14-02-0005), 2021 | 14 | 2021 |
| A machine learning model for predicting threshold sooting index (TSI) of fuels containing alcohols and ethers MAA Qasem, VCO van Oudenhoven, AA Pasha, SN Pillai, VM Reddy, ... Fuel 322, 123941, 2022 | 13 | 2022 |
| A Methodology for Designing Octane Number of Fuels Using Genetic Algorithms and Artificial Neural Networks F Alboqami, VCO van Oudenhoven, U Ahmed, U Zahid, AH Emwas, ... Energy & Fuels 36 (7), 3867-3880, 2022 | 7 | 2022 |
| Tsi Prediction Using Neural Networks MA Mohammed Qasem, VCO van Oudenhoven, EA Mutairi, ... | | 2021 |
| Predicting fuel ignition quality using 1H NMR spectroscopy and artificial neural networks A Gani Abdul Jameel, V CO van Oudenhoven, AH Emwas, ... | | 2019 |
S. Mani SarathyKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
