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 | 156 | 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 | 114 | 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 | 102 | 2017 |
GPT models in construction industry: Opportunities, limitations, and a use case validation A Saka, R Taiwo, N Saka, BA Salami, S Ajayi, K Akande, H Kazemi Developments in the Built Environment 17, 100300, 2024 | 78 | 2024 |
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 | 77 | 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 | 65 | 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 | 57 | 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 | 45 | 2016 |
On the implementation of carrierless amplitude and phase modulation in visible light communication KO Akande, PA Haigh, WO Popoola IEEE Access 6, 60532-60546, 2018 | 44 | 2018 |
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 | 36 | 2014 |
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 | 29 | 2015 |
Estimation of minimum ignition energy of explosive chemicals using gravitational search algorithm based support vector regression TO Owolabi, MA Suleiman, HB Adeyemo, KO Akande, J Alhiyafi, ... Journal of loss prevention in the process industries 57, 156-163, 2019 | 24 | 2019 |
Support vector machines approach for estimating work function of semiconductors: addressing the limitation of metallic plasma model TO Owolabi, KO Akande, SO Olatunji Applied Physics Research 6 (5), 122, 2014 | 23 | 2014 |
Estimation of average surface energies of transition metal nitrides using computational intelligence technique TO Owolabi, KO Akande, SO Olatunji Soft Computing 21, 6175-6182, 2017 | 22 | 2017 |
Estimation of the atomic radii of periodic elements using support vector machine TO Owolabi, KO Akande, SO Olatunji IJAIST 28 (28), 39-49, 2014 | 22 | 2014 |
Computational intelligence method of estimating solid-liquid interfacial energy of materials at their melting temperatures TO Owolabi, KO Akande, SO Olatunji Journal of Intelligent & Fuzzy Systems 31 (1), 519-527, 2016 | 21 | 2016 |
Comparative analysis of feature selection-based machine learning techniques in reservoir characterization KO Akande, SO Olatunji, TO Owolabi, AA AbdulRaheem SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, SPE …, 2015 | 20 | 2015 |
Subband index carrierless amplitude and phase modulation for optical communications KO Akande, WO Popoola Journal of Lightwave Technology 36 (18), 4190-4197, 2018 | 19 | 2018 |
Estimation of Curie temperature of manganite-based materials for magnetic refrigeration application using hybrid gravitational based support vector regression TO Owolabi, KO Akande, SO Olatunji, A Alqahtani, N Aldhafferi AIP Advances 6 (10), 2016 | 19 | 2016 |
Ensemble-based support vector regression with gravitational search algorithm optimization for estimating magnetic relative cooling power of manganite refrigerant in magnetic … TO Owolabi, KO Akande, SO Olatunji, N Aldhafferi, A Alqahtani Journal of Superconductivity and Novel Magnetism 32, 2107-2118, 2019 | 18 | 2019 |