Octane prediction from infrared spectroscopic data E Al Ibrahim, A Farooq Energy & Fuels 34 (1), 817-826, 2019 | 31 | 2019 |
Prediction of the derived cetane number and carbon/hydrogen ratio from infrared spectroscopic data E Al Ibrahim, A Farooq Energy & Fuels 35 (9), 8141-8152, 2021 | 26 | 2021 |
Transfer learning approach to multitarget temperature-dependent reaction rate prediction E Al Ibrahim, A Farooq The Journal of Physical Chemistry A 126 (28), 4617-4629, 2022 | 8 | 2022 |
Augmentations for selective multi-species quantification from infrared spectroscopic data E Al Ibrahim, A Farooq Chemometrics and Intelligent Laboratory Systems 240, 104913, 2023 | 3 | 2023 |
Characterization of non-ideal blending in infrared spectra of gasoline surrogates E Al Ibrahim, HE Rekik, A Farooq Fuel 344, 128134, 2023 | 3 | 2023 |
Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview A Nicolle, S Deng, M Ihme, N Kuzhagaliyeva, EA Ibrahim, A Farooq Journal of Chemical Information and Modeling 64 (3), 597-620, 2024 | 1 | 2024 |
pKa Prediction in Non-Aqueous Solvents JW Zheng, E Al Ibrahim, WH Green | | 2024 |
The blending behavior in infrared spectra of oxygenated fuel blends E Al Ibrahim, M Almomtan, H Rekik, A Farooq AIAA SCITECH 2024 Forum, 2424, 2024 | | 2024 |
emadalibrahim/gas_sensing E Al Ibrahim, A Farooq Github, 2022 | | 2022 |
emadalibrahim/reaction_rate_prediction E Al Ibrahim, A Farooq Github, 2022 | | 2022 |
Transfer Learning Approach E Al Ibrahim, A Farooq The journal of physical chemistry. A, 2022 | | 2022 |
Prediction of the E Al Ibrahim, A Farooq Energy & Fuels, 2021 | | 2021 |