Sunday O. Olatunji

Orcid: 0000-0003-2993-7641

Affiliations:
  • Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia


According to our database1, Sunday O. Olatunji authored at least 51 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Design of a personalised adaptive ubiquitous learning system.
Interact. Learn. Environ., January, 2024

2023
Coefficient Results concerning a New Class of Functions Associated with Gegenbauer Polynomials and Convolution in Terms of Subordination.
Axioms, April, 2023

Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification.
CoRR, 2023

Machine Learning Based Preemptive Diagnosis of Parkinson's Disease Using Saudi Clinical Data: A Preliminary Case Study on Saudi Arabia Dataset.
Proceedings of the Fourth International Conference on Intelligent Data Science Technologies and Applications, 2023

2022
Sentiment analysis for cruises in Saudi Arabia on social media platforms using machine learning algorithms.
J. Big Data, 2022

Spoofing detection on adaptive authentication System-A survey.
IET Biom., 2022

2021
Machine learning - based framework for construction delay mitigation.
J. Inf. Technol. Constr., 2021

Early diagnosis of thyroid cancer diseases using computational intelligence techniques: A case study of a Saudi Arabian dataset.
Comput. Biol. Medicine, 2021

2020
Computational intelligence-based model for diarrhea prediction using Demographic and Health Survey data.
Soft Comput., 2020

A support vector regression model for the prediction of total polyaromatic hydrocarbons in soil: an artificial intelligent system for mapping environmental pollution.
Neural Comput. Appl., 2020

Application of Support Vector Machine for Arabic Sentiment Classification Using Twitter-Based Dataset.
J. Inf. Knowl. Manag., 2020

Google trends identifying seasons of religious gathering: applied to investigate the correlation between crowding and flu outbreak.
Inf. Process. Manag., 2020

Effective Email Spam Detection System using Extreme Gradient Boosting.
CoRR, 2020

SVR modelling of mechanomyographic signals predicts neuromuscular stimulation-evoked knee torque in paralyzed quadriceps muscles undergoing knee extension exercise.
Comput. Biol. Medicine, 2020

A Self-adapting Face Authentication System with Deep Learning.
Proceedings of the 8th International Conference on Wireless Networks and Mobile Communications, 2020

2019
Modeling of magnetic cooling power of manganite-based materials using computational intelligence approach.
Neural Comput. Appl., 2019

Improved email spam detection model based on support vector machines.
Neural Comput. Appl., 2019

Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study.
Comput. Biol. Medicine, 2019

2018
Modeling of Curie temperature of manganite for magnetic refrigeration application using manual search and hybrid gravitational-based support vector regression.
Soft Comput., 2018

Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm - support vector regression model.
Comput. Methods Programs Biomed., 2018

Predicting of the refractive index of haemoglobin using the Hybrid GA-SVR approach.
Comput. Biol. Medicine, 2018

Preemptive Diagnosis of Chronic Kidney Disease Using Machine Learning Techniques.
Proceedings of the 2018 International Conference on Innovations in Information Technology (IIT), 2018

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 Comput. Appl., 2017

Incorporation of GSA in SBLLM-based neural network for enhanced estimation of magnetic ordering temperature of manganite.
J. Intell. Fuzzy Syst., 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.
J. Intell. Fuzzy Syst., 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 MgB<sub>2</sub> Superconductors Using Room Temperature Resistivity.
Appl. Comput. Intell. Soft Comput., 2016

A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization.
Appl. Comput. Intell. Soft Comput., 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.
Inf. 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 Model of Object Oriented Software Maintainability.
Proceedings of the Intelligent Software Methodologies, Tools and Techniques, 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 Syst., 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 Comput. Commun., 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. Artif. Intell., 2011

Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems.
Comput. Ind., 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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