Classification of Premium and Regular Gasoline Using Support Vector Machines as Novel Approach for Arson and Fuel Spill Investigation. - Kanaan Faisal; Sunday Olusanya Olatunji; Lahouari Ghouti (IC-AI, 2009)

An Intelligent Framework for the Classification of Premium and Regular Gasoline for Arson and Fuel Spill Investigation Based on Extreme Learning Machines. - Sunday Olusanya Olatunji; Imran A. Adeleke (CICSyN, 2010)

Material Properties Prediction Model Using Sensitivity Based Linear Learning Method. - Yahaya Mohammed Onimisi; Sunday Olusanya Olatunji (EMS, 2010)

Modeling PVT Properties of Crude Oil Systems Using Type-2 Fuzzy Logic Systems. - Sunday Olusanya Olatunji; Ali Selamat; Abdul Azeez Abdul Raheem (ICCCI (1), 2010)

Handwritten Arabic numerals recognition using multi-span features & Support Vector Machines. - Sabri A. Mahmoud; Sunday Olusanya Olatunji (ISSPA, 2010)

Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems. - Sunday Olusanya Olatunji; Ali Selamat; Abdul Azeez Abdul Raheem (Comput. Ind., 2011)

Modeling the correlations of crude oil properties based on sensitivity based linear learning method. - Sunday Olusanya Olatunji; Ali Selamat; Abdul Azeez Abdul Raheem; Sigeru Omatu 001 (Eng. Appl. Artif. Intell., 2011)

Predicting correlations properties of crude oil systems using type-2 fuzzy logic systems. - Sunday Olusanya Olatunji; Ali Selamat; Abdul Azeez Abdul Raheem (Expert Syst. Appl., 2011)

Extreme learning machine for user location prediction in mobile environment. - Teddy Mantoro; Akeem Koye Olowolayemo; Sunday Olusanya Olatunji; Media A. Ayu; Abu Osman Md. Tap (Int. J. Pervasive Comput. Commun., 2011)

Modeling PVT Properties of Crude Oil Systems Based on Type-2 Fuzzy Logic Approach and Sensitivity Based Linear Learning Method. - Ali Selamat; Sunday Olusanya Olatunji; Abdul Azeez Abdul Raheem (ICCCI (1), 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. - Ali Selamat; Sunday Olusanya Olatunji; Abdul Azeez Abdul Raheem (Adv. Fuzzy Syst., 2012)

Type-2 Fuzzy Logic Based Prediction of Object Oriented Software Maintainability. - Sunday Olusanya Olatunji; Ali Selamat (SoMeT, 2014)

Type-2 Fuzzy Logic Based Prediction Model of Object Oriented Software Maintainability. - Sunday Olusanya Olatunji; Ali Selamat (SoMeT (Selected Papers), 2014)

Improved sensitivity based linear learning method for permeability prediction of carbonate reservoir using interval type-2 fuzzy logic system. - Sunday Olusanya Olatunji; Ali Selamat; Abdul Azeez Abdul Raheem (Appl. Soft Comput., 2014)

A hybrid model through the fusion of type-2 fuzzy logic systems and extreme learning machines for modelling permeability prediction. - Sunday Olusanya Olatunji; Ali Selamat; Abdulazeez Abdulraheem (Inf. Fusion, 2014)

Functional networks models for rapid characterization of thin films: An application to ultrathin polycrystalline silicon germanium films. - T. B. Asafa; Ahmed Adebowale Adeniran; Sunday Olusanya Olatunji (Appl. Soft Comput., 2015)

Estimation of surface energies of hexagonal close packed metals using computational intelligence technique. - Taoreed Olakunle Owolabi; Kabiru O. Akande; Sunday Olusanya Olatunji (Appl. Soft Comput., 2015)

Modeling permeability and PVT properties of oil and gas reservoir using hybrid model based on type-2 fuzzy logic systems. - Sunday Olusanya Olatunji; Ali Selamat; Abdur Raheem Abdul Azeez (Neurocomputing, 2015)

A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization. - Kabiru O. Akande; Taoreed Olakunle Owolabi; Sunday Olusanya Olatunji; Abdul Azeez Abdul Raheem (Appl. Comput. Intell. Soft Comput., 2016)

Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB2 Superconductors Using Room Temperature Resistivity. - Taoreed Olakunle Owolabi; Kabiru O. Akande; Sunday Olusanya Olatunji (Appl. Comput. Intell. Soft Comput., 2016)

Estimation of physical, mechanical and hydrological properties of permeable concrete using computational intelligence approach. - Adeshina A. Adewumi; Taoreed Olakunle Owolabi; Ibrahim Olanrewaju Alade; Sunday Olusanya Olatunji (Appl. Soft Comput., 2016)

Application of computational intelligence technique for estimating superconducting transition temperature of YBCO superconductors. - Taoreed Olakunle Owolabi; Kabiru O. Akande; Sunday Olusanya Olatunji (Appl. Soft Comput., 2016)

Computational intelligence method of estimating solid-liquid interfacial energy of materials at their melting temperatures. - Taoreed Olakunle Owolabi; Kabiru O. Akande; Sunday Olusanya Olatunji (J. Intell. Fuzzy Syst., 2016)

Estimation of Electrically-Evoked Knee Torque from Mechanomyography Using Support Vector Regression. - Morufu Olusola Ibitoye; Nur Azah Hamzaid; Ahmad Khairi Abdul Wahab; Nazirah Hasnan; Sunday Olusanya Olatunji; Glen M. Davis (Sensors, 2016)

Student performance prediction using Support Vector Machine and K-Nearest Neighbor. - Huda Al-Shehri; Amani Al-Qarni; Leena Al-Saati; Arwa Batoaq; Haifa Badukhen; Saleh Alrashed; Jamal Alhiyafi; Sunday Olusanya Olatunji (CCECE, 2017)

Extreme Learning machines and Support Vector Machines models for email spam detection. - Sunday Olusanya Olatunji (CCECE, 2017)

Incorporation of GSA in SBLLM-based neural network for enhanced estimation of magnetic ordering temperature of manganite. - Taoreed Olakunle Owolabi; Kabiru O. Akande; Sunday Olusanya Olatunji; Abdullah Alqahtani 002; Nahier Aldhafferi (J. Intell. Fuzzy Syst., 2017)

Estimation of melting points of fatty acids using homogeneously hybridized support vector regression. - Taoreed Olakunle Owolabi; Yusuf Feyisara Zakariya; Sunday Olusanya Olatunji; Kabiru O. Akande (Neural Comput. Appl., 2017)

Estimation of average surface energies of transition metal nitrides using computational intelligence technique. - Taoreed Olakunle Owolabi; Kabiru O. Akande; Sunday Olusanya Olatunji (Soft Comput., 2017)

Preemptive Diagnosis of Chronic Kidney Disease Using Machine Learning Techniques. - Reem A. Alassaf; Khawla A. Alsulaim; Noura Y. Alroomi; Nouf S. Alsharif; Mishael F. Aljubeir; Sunday Olusanya Olatunji; Alaa Y. Alahmadi; Mohammed Imran; Rahma A. Alzahrani; Nora S. Alturayeif (IIT, 2018)

Predicting of the refractive index of haemoglobin using the Hybrid GA-SVR approach. - Tajudeen Olawale Olasupo; Ibrahim Olanrewaju Alade; Aliyu Bagudu; Kazeem O. Sulaiman; Sunday Olusanya Olatunji; Tawfik A. Saleh (Comput. Biol. Medicine, 2018)

Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm - support vector regression model. - Ibrahim Olanrewaju Alade; Aliyu Bagudu; Tajudeen Olawale Olasupo; Mohd Amiruddin Abd Rahman; Tawfik A. Saleh; Sunday Olusanya Olatunji (Comput. Methods Programs Biomed., 2018)

Modeling of Curie temperature of manganite for magnetic refrigeration application using manual search and hybrid gravitational-based support vector regression. - Taoreed Olakunle Owolabi; Kabiru O. Akande; Sunday Olusanya Olatunji; Abdullah Alqahtani 002; Nahier Aldhafferi (Soft Comput., 2018)

Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study. - Njoud Abdullah Almansour; Hajra Fahim Syed; Nuha Radwan Khayat; Rawan Kanaan Altheeb; Renad Emad Juri; Jamal Alhiyafi; Saleh Alrashed; Sunday Olusanya Olatunji (Comput. Biol. Medicine, 2019)

Improved email spam detection model based on support vector machines. - Sunday Olusanya Olatunji (Neural Comput. Appl., 2019)

Modeling of magnetic cooling power of manganite-based materials using computational intelligence approach. - Taoreed Olakunle Owolabi; Luqman E. Oloore; Kabiru O. Akande; Sunday Olusanya Olatunji (Neural Comput. Appl., 2019)

A Self-adapting Face Authentication System with Deep Learning. - Hind Baaqeel; Sunday O. Olatunji (WINCOM, 2020)

SVR modelling of mechanomyographic signals predicts neuromuscular stimulation-evoked knee torque in paralyzed quadriceps muscles undergoing knee extension exercise. - Morufu Olusola Ibitoye; Nur Azah Hamzaid; Ahmad Khairi Abdul Wahab; Nazirah Hasnan; Sunday Olusanya Olatunji; Glen M. Davis (Comput. Biol. Medicine, 2020)

Effective Email Spam Detection System using Extreme Gradient Boosting. - Ismail B. Mustapha; Shafaatunnur Hasan; Sunday Olusanya Olatunji; Siti Mariyam Shamsuddin; Afolabi Kazeem (CoRR, 2020)

Google trends identifying seasons of religious gathering: applied to investigate the correlation between crowding and flu outbreak. - Mariam Elhussein; Samiha Brahimi; Abdullah Alreedy; Mohammed Alqahtani; Sunday Olusanya Olatunji (Inf. Process. Manag., 2020)

Application of Support Vector Machine for Arabic Sentiment Classification Using Twitter-Based Dataset. - Sarah N. Alyami; Sunday O. Olatunji (J. Inf. Knowl. Manag., 2020)

A support vector regression model for the prediction of total polyaromatic hydrocarbons in soil: an artificial intelligent system for mapping environmental pollution. - Adeola A. Akinpelu; Md. Eaqub Ali; Taoreed Olakunle Owolabi; Mohd Rafie Johan; R. Saidur; Sunday Olusanya Olatunji; Zaira Chowdbury (Neural Comput. Appl., 2020)

Computational intelligence-based model for diarrhea prediction using Demographic and Health Survey data. - Ismaila Rimi Abubakar; Sunday Olusanya Olatunji (Soft Comput., 2020)

Early diagnosis of thyroid cancer diseases using computational intelligence techniques: A case study of a Saudi Arabian dataset. - Sunday O. Olatunji; Sarah Alotaibi; Ebtisam Almutairi; Zainab Alrabae; Yasmeen Almajid; Rahaf Altabee; Mona Altassan; Mohammed Imran Basheer Ahmed; Mehwash Farooqui; Jamal Alhiyafi (Comput. Biol. Medicine, 2021)

Machine learning - based framework for construction delay mitigation. - Muizz O. Sanni-Anibire; Rosli Mohamad Zin; Sunday O. Olatunji (J. Inf. Technol. Constr., 2021)

Spoofing detection on adaptive authentication System-A survey. - Hind Baaqeel; Sunday Olusanya Olatunji (IET Biom., 2022)

Sentiment analysis for cruises in Saudi Arabia on social media platforms using machine learning algorithms. - Bador Al sari; Rawan Alkhaldi; Dalia Alsaffar; Tahani Alkhaldi; Hanan Almaymuni; Norah Alnaim; Najwa Alghamdi; Sunday O. Olatunji (J. Big Data, 2022)

Machine Learning Based Preemptive Diagnosis of Parkinson's Disease Using Saudi Clinical Data: A Preliminary Case Study on Saudi Arabia Dataset. - Sunday O. Olatunji; Abdulaziz Alzahrani; Abdulaziz Alsubaie; Osamah Aldahlan; Ibrahim Alnafea; Abdullah Alamri; Mohammed Imran Basheer Ahmed; Mohammad Aftab Alam Khan; Abdulrahman Almuhaidib; Jamal Alhiyafi (IDSTA, 2023)

Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification. - Ismail B. Mustapha; Shafaatunnur Hasan; Hatem S. Y. Nabbus; Mohamed Mostafa Ali Montaser; Sunday Olusanya Olatunji; Siti Maryam Shamsuddin (CoRR, 2023)

Coefficient Results concerning a New Class of Functions Associated with Gegenbauer Polynomials and Convolution in Terms of Subordination. - Sunday Olusanya Olatunji; Matthew Olanrewaju Oluwayemi; Georgia Irina Oros (Axioms, 2023)

Explainable Machine Learning for Intrusion Detection. - Sameh Bellegdi; Ali Selamat; Sunday O. Olatunji; Hamido Fujita; Ondrej Krejcar (IEA/AIE, 2024)

Design of a personalised adaptive ubiquitous learning system. - Olumide Sunday Adewale; Oluwatoyin C. Agbonifo; Emmanuel Onwuka Ibam; A. I. Makinde; Olutayo Kehinde Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; Sunday O. Olatunji (Interact. Learn. Environ., 2024)

On Quasi-Subordination for Bi-Univalency Involving Generalized Distribution Series. - Sunday Olusanya Olatunji; Matthew Olanrewaju Oluwayemi; Saurabh Porwal; Alina Alb Lupas (Symmetry, 2024)