Obserwuj
Taoreed Owolabi (PhD)
Tytuł
Cytowane przez
Cytowane przez
Rok
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
1582014
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
1152015
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
1022017
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
922016
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
772015
Synthesis, properties, and applications of doped and undoped CuO and Cu2O nanomaterials
PC Okoye, SO Azi, TF Qahtan, TO Owolabi, TA Saleh
Materials Today Chemistry 30, 101513, 2023
652023
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
652015
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
572015
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
472020
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
452016
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
432018
Modeling the magnetocaloric effect of manganite using hybrid genetic and support vector regression algorithms
TO Owolabi
Physics Letters A 383 (15), 1782-1790, 2019
402019
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
362014
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
352020
State-of-the-art, challenges and prospects of heterogeneous tandem photocatalysis
TF Qahtan, TO Owolabi, OE Olubi, A Hezam
Coordination Chemistry Reviews 492, 215276, 2023
342023
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
342020
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
342017
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
332016
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
292021
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
292020
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20