| Performance comparison of SVM and ANN in predicting compressive strength of concrete OA Kabiru, TO Owolabi, T Ssennoga, SO Olatunji IOSR Journal of Computer Engineering, 2014 | 124 | 2014 |
| Investigating the effect of correlation-based feature selection on the performance of support vector machines in reservoir characterization KO Akande, TO Owolabi, SO Olatunji Journal of Natural Gas Science and Engineering 22, 515-522, 2015 | 102 | 2015 |
| A hybrid particle swarm optimization and support vector regression model for modelling permeability prediction of hydrocarbon reservoir KO Akande, TO Owolabi, SO Olatunji, AA AbdulRaheem Journal of Petroleum Science and Engineering 150, 43-53, 2017 | 81 | 2017 |
| Estimation of Superconducting Transition Temperature T C for Superconductors of the Doped MgB2 System from the Crystal Lattice Parameters Using … TO Owolabi, KO Akande, SO Olatunji Journal of Superconductivity and Novel Magnetism 28, 75-81, 2015 | 70 | 2015 |
| Estimation of surface energies of hexagonal close packed metals using computational intelligence technique TO Owolabi, KO Akande, SO Olatunji Applied Soft Computing 31, 360-368, 2015 | 59 | 2015 |
| Estimation of physical, mechanical and hydrological properties of permeable concrete using computational intelligence approach AA Adewumi, TO Owolabi, IO Alade, SO Olatunji Applied Soft Computing 42, 342-350, 2016 | 58 | 2016 |
| Development and validation of surface energies estimator (SEE) using computational intelligence technique TO Owolabi, KO Akande, SO Olatunji Computational Materials Science 101, 143-151, 2015 | 52 | 2015 |
| Application of computational intelligence technique for estimating superconducting transition temperature of YBCO superconductors TO Owolabi, KO Akande, SO Olatunji Applied Soft Computing 43, 143-149, 2016 | 44 | 2016 |
| Development of hybrid extreme learning machine based chemo-metrics for precise quantitative analysis of LIBS spectra using internal reference pre-processing method TO Owolabi, MA Gondal Analytica Chimica Acta 1030, 33-41, 2018 | 40 | 2018 |
| A support vector regression model for the prediction of total polyaromatic hydrocarbons in soil: an artificial intelligent system for mapping environmental pollution AA Akinpelu, ME Ali, TO Owolabi, MR Johan, R Saidur, SO Olatunji, ... Neural Computing and Applications 32, 14899-14908, 2020 | 34 | 2020 |
| Investigating the effect of correlation based feature selection on breast cancer diagnosis using artificial neural network and support vector machines R Alyami, J Alhajjaj, B Alnajrani, I Elaalami, A Alqahtani, N Aldhafferi, ... 2017 International Conference on Informatics, Health & Technology (ICIHT), 1-7, 2017 | 32 | 2017 |
| Computational intelligence method of determining the energy band gap of doped ZnO semiconductor TO Owolabi, M Faiz, SO Olatunji, IK Popoola Materials & Design 101, 277-284, 2016 | 32 | 2016 |
| Prediction of superconducting transition temperatures for Fe-based superconductors using support vector machine TO Owolabi, KO Akande, SO Olatunji Adv. Phys. Theor. Appl 35, 12-26, 2014 | 32 | 2014 |
| Modeling the magnetocaloric effect of manganite using hybrid genetic and support vector regression algorithms TO Owolabi Physics Letters A 383 (15), 1782-1790, 2019 | 30 | 2019 |
| Newtonian mechanics based hybrid machine learning method of characterizing energy band gap of doped zno semiconductor SMI Shamsah, TO Owolabi Chinese Journal of Physics 68, 493-506, 2020 | 26 | 2020 |
| Extreme learning machine and swarm-based support vector regression methods for predicting crystal lattice parameters of pseudo-cubic/cubic perovskites TO Owolabi Journal of Applied Physics 127 (24), 2020 | 26 | 2020 |
| Modeling the thermal behavior of coal fly ash based polymer gel system for water reduction in oil and gas wells AA Adewunmi, S Ismail, TO Owolabi, AS Sultan, SO Olatunji, Z Ahmad Journal of Petroleum Science and Engineering 157, 430-440, 2017 | 24 | 2017 |
| Investigating the effect of correlation-based feature selection on the performance of neural network in reservoir characterization KO Akande, TO Owolabi, SO Olatunji Journal of Natural Gas Science and Engineering 27, 98-108, 2015 | 24 | 2015 |
| Prediction of band gap energy of doped graphitic carbon nitride using genetic algorithm-based support vector regression and extreme learning machine TO Owolabi, MA Abd Rahman Symmetry 13 (3), 411, 2021 | 23 | 2021 |
| Modeling the maximum magnetic entropy change of doped manganite using a grid search-based extreme learning machine and hybrid gravitational search-based support vector regression SMI Shamsah, TO Owolabi Crystals 10 (4), 310, 2020 | 23 | 2020 |
S.O. Olatunji, Sunday Olusanya Olatun...Professor, Department of Computer Engineering, Imam Abdulrahman Bin Faisal University, DammamVerified email at iau.edu.sa
