Sunday Olusanya Olatunji

According to our database1, Sunday Olusanya Olatunji
  • authored at least 28 papers between 2009 and 2017.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2017
Estimation of average surface energies of transition metal nitrides using computational intelligence technique.
Soft Comput., 2017

Estimation of melting points of fatty acids using homogeneously hybridized support vector regression.
Neural Computing and Applications, 2017

Incorporation of GSA in SBLLM-based neural network for enhanced estimation of magnetic ordering temperature of manganite.
Journal of Intelligent and Fuzzy Systems, 2017

Extreme Learning machines and Support Vector Machines models for email spam detection.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Student performance prediction using Support Vector Machine and K-Nearest Neighbor.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
Estimation of Electrically-Evoked Knee Torque from Mechanomyography Using Support Vector Regression.
Sensors, 2016

Computational intelligence method of estimating solid-liquid interfacial energy of materials at their melting temperatures.
Journal of Intelligent and Fuzzy Systems, 2016

Application of computational intelligence technique for estimating superconducting transition temperature of YBCO superconductors.
Appl. Soft Comput., 2016

Estimation of physical, mechanical and hydrological properties of permeable concrete using computational intelligence approach.
Appl. Soft Comput., 2016

Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB2 Superconductors Using Room Temperature Resistivity.
Applied Comp. Int. Soft Computing, 2016

A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization.
Applied Comp. Int. Soft Computing, 2016

2015
Modeling permeability and PVT properties of oil and gas reservoir using hybrid model based on type-2 fuzzy logic systems.
Neurocomputing, 2015

Estimation of surface energies of hexagonal close packed metals using computational intelligence technique.
Appl. Soft Comput., 2015

Functional networks models for rapid characterization of thin films: An application to ultrathin polycrystalline silicon germanium films.
Appl. Soft Comput., 2015

2014
A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction.
Information Fusion, 2014

Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system.
Appl. Soft Comput., 2014

Type-2 Fuzzy Logic Based Prediction of Object Oriented Software Maintainability.
Proceedings of the New Trends in Software Methodologies, Tools and Techniques, 2014

2012
A Hybrid Model through the Fusion of Type-2 Fuzzy Logic Systems and Sensitivity-Based Linear Learning Method for Modeling PVT Properties of Crude Oil Systems.
Adv. Fuzzy Systems, 2012

Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

2011
Extreme learning machine for user location prediction in mobile environment.
Int. J. Pervasive Computing and Communications, 2011

Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems.
Expert Syst. Appl., 2011

Modeling the correlations of crude oil properties based on sensitivity based linear learning method.
Eng. Appl. of AI, 2011

Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems.
Computers in Industry, 2011

2010
Handwritten Arabic numerals recognition using multi-span features & Support Vector Machines.
Proceedings of the 10th International Conference on Information Sciences, 2010

Modeling PVT Properties of Crude Oil Systems Using Type-2 Fuzzy Logic Systems.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010

Material Properties Prediction Model Using Sensitivity Based Linear Learning Method.
Proceedings of the Fourth UKSim European Symposium on Computer Modeling and Simulation, 2010

An Intelligent Framework for the Classification of Premium and Regular Gasoline for Arson and Fuel Spill Investigation Based on Extreme Learning Machines.
Proceedings of the Second International Conference on Computational Intelligence, 2010

2009
Classification of Premium and Regular Gasoline Using Support Vector Machines as Novel Approach for Arson and Fuel Spill Investigation.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009


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