| Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study NA Almansour, HF Syed, NR Khayat, RK Altheeb, RE Juri, J Alhiyafi, ... Computers in biology and medicine 109, 101-111, 2019 | 276 | 2019 |
| Student performance prediction using support vector machine and k-nearest neighbor H Al-Shehri, A Al-Qarni, L Al-Saati, A Batoaq, H Badukhen, S Alrashed, ... 2017 IEEE 30th canadian conference on electrical and computer engineering …, 2017 | 170 | 2017 |
| 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 | 142 | 2014 |
| Causes of delay in the global construction industry: a meta analytical review MO Sanni-Anibire, R Mohamad Zin, SO Olatunji International Journal of Construction Management 22 (8), 1395-1407, 2022 | 130 | 2022 |
| 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 | 110 | 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 | 88 | 2017 |
| Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems SO Olatunji, A Selamat, AAA Raheem Expert Systems with Applications 38 (9), 10911-10922, 2011 | 85 | 2011 |
| Modeling thermal conductivity enhancement of metal and metallic oxide nanofluids using support vector regression IO Alade, TA Oyehan, IK Popoola, SO Olatunji, A Bagudu Advanced Powder Technology 29 (1), 157-167, 2018 | 82 | 2018 |
| 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 | 74 | 2015 |
| A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction SO Olatunji, A Selamat, A Abdulraheem Information fusion 16, 29-45, 2014 | 74 | 2014 |
| Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm–support vector regression model IO Alade, A Bagudu, TA Oyehan, MA Abd Rahman, TA Saleh, SO Olatunji Computer methods and programs in biomedicine 163, 135-142, 2018 | 70 | 2018 |
| Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems SO Olatunji, A Selamat, A Abdulraheem Computers in industry 62 (2), 147-163, 2011 | 70 | 2011 |
| Improved email spam detection model based on support vector machines SO Olatunji Neural Computing and Applications, 1-9, 2017 | 67 | 2017 |
| 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 | 65 | 2016 |
| 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 | 62 | 2015 |
| Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system SO Olatunji, A Selamat, AAA Raheem Applied Soft Computing 14, 144-155, 2014 | 59 | 2014 |
| Machine learning model for delay risk assessment in tall building projects MO Sanni-Anibire, RM Zin, SO Olatunji International Journal of Construction Management 22 (11), 2134-2143, 2022 | 56 | 2022 |
| Prediction of plasticization pressure of polymeric membranes for CO2 removal from natural gas AL Ahmad, JK Adewole, CP Leo, S Ismail, AS Sultan, SO Olatunji Journal of Membrane Science 480, 39-46, 2015 | 56 | 2015 |
| 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 | 55 | 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 | 46 | 2016 |
Taoreed Owolabi (PhD)Physics and Electronics Department, Adekunle Ajasin University, Akungba Akoko, Nigeria在 aaua.edu.ng 的电子邮件经过验证
