Tinuke Omolewa Oladele

@unilorin.edu.ng

Associate Professor, Faculty of Communication and Information Sciences
University of Ilorin

Tinuke Omolewa Oladele


                     Download Compact PDF  
https://researchid.co/tinulewa

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Computer Science, Artificial Intelligence, Computer Science Applications
18

Scopus Publications

525

Scholar Citations

13

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Sclera boundary localization using circular hough transform and a modified run-data based algorithm
    Tunde Taiwo Adeniyi, Oladele Tinuke Omolewa, Jide Kehinde Adeniyi
    Telkomnika Telecommunication Computing Electronics and Control, 2024
  • CNN-LSTM Model for Mitigation of DDoS Attacks in Software-Defined Networks
    Ebunayo Rachael Jimoh, Tinuke Omolewa Oladele, Oluwabunmi Titilope Oladele, Azeez Olawale Akinlolu, Mulikat Bola Akanbi, et al.
    International Conference on Science Engineering and Business for Driving Sustainable Development Goals Seb4sdg 2024, 2024
  • Border Control via Passport Verification using Fingerprint Authentication Technique
    Oladele Tinuke Omolewa, Emmanuel Jadesola Adeioke, Oladele Oluwabunmi Titilope, Adewole Kayode Sakarivan, Adeniyi Jide Kehinde
    2023 International Conference on Science Engineering and Business for Sustainable Development Goals Seb Sdg 2023, 2023
    Security of lives and properties is of high essence to a nation's growth and development. With the increase of global terrorist invasions, levels of national internal border security need to be increased. Thus, the need to deploy technologies such as biometric for further fortification cannot be underrated. Research has shown that biometrics technology - as an authentication technique has a broad-spectrum application in fields ranging from banking, medicine, airlines and so on. Unlike the conventional means of security checks, which basically entail physical/manual verification. Biometric techniques such as Face recognition, Fingerprint, DNA are more reliable and capable of uniquely identifying individuals in the verification process. The porous nature of the nation's border enables unauthorized immigrants gain access to the country which poses a high level of security threat. In this paper, a biometric based border control system is developed to reduce the rate of illegal immigrants into the country. C# programming language was employed to implement the proposed biometric based border control system. The various stages of biometric authentication were incorporated. The proposed system is recommended for controlling illegal immigrants at the Nigerian border.
  • A Mobile Palmprint Authentication System Using a Modified MNT Algorithm, Circular Local Binary Pattern, and CNN (mobileNet)
    Jide Kehinde Adeniyi, Tinuke Omolewa Oladele, Ayodele Adebiyi, Marion Adebiyi, Tunde Taiwo Adeniyi
    International Journal on Advanced Science Engineering and Information Technology, 2023
  • An Ensemble Models for the Prediction of Sickle Cell Disease from Erythrocytes Smears
    Oluwafisayo Babatope Ayoade, Tinuke Omolewa Oladele, Agbotiname Lucky Imoize, Jerome Adetoye Adeloye, Joseph Bambidele Awotunde, et al.
    Eai Endorsed Transactions on Pervasive Health and Technology, 2023
    INTRODUCTION: The human blood as a collection of tissues containing Red Blood Cells (RBCs), circular in shape and acting as an oxygen carrier, are frequently deformed by multiple blood diseases inherited from parents. These hereditary diseases of blood involve abnormal haemoglobin (Hb) or anemia which are major public health issues. Sickle Cell Disease (SCD) is one of the common non-communicable disease and genetic disorder due to changes in hematological conditions of the RBCs which often causes the inheritance of mutant Hb genes by the patient..
 OBJECTIVES: The process of manual valuation, predictions and diagnosis of SCD necessitate for a passionate time spending and if not done properly can lead to wrong predictions and diagnosis. Machine Learning (ML), a branch of AI which emphases on building systems that improve performance based on the data they consume is appropriate. Despite previous research efforts in predicting with single ML algorithm, the existing systems still suffer from high false and wrong predictions.
 METHODS: Thus, this paper aimed at performing comparative analysis of individual ML algorithms and their ensemble models for effective predictions of SCD (elongated shapes) in erythrocytes blood cells. Three ML algorithms were selected, and ensemble models were developed to perform the predictions and metrics were used to evaluate the performance of the model using accuracy, sensitivity, Receiver Operating Characteristics-Area under Curve (ROC-AUC) and F1 score metrics. The results were compared with existing literature for model(s) with the best prediction metrics performance..
 RESULTS: The analysis was carried out using Python programming language. Individual ML algorithms reveals that their accuracies show MLR=87%, XGBoost=90%, and RF=93%, while hybridized RF-MLR=92% and RF-XGBoost=99%. The accuracy of RF-XGBoost of 99% outperformed other individual ML algorithms and Hybrid models. 
 CONCLUSION: Thus, the study concluded that involving hybridized ML algorithms in medical datasets increased predictions performance as it removed the challenges of high variance, low accuracy and feature noise and biases of medical datasets. The paper concluded that ensemble classifiers should be considered to improve sickle cell disease predictions.
  • Hand geometry recognition: an approach for closed and separated fingers
    Adeniyi Jide Kehinde, Oladele Tinuke Omolewa, Akande Oluwatobi Noah, Adeniyi Tunde Taiwo
    International Journal of Electrical and Computer Engineering, 2022
    <span lang="EN-US">Hand geometry has been a biometric trait that has attracted attention from several researchers. This stems from the fact that it is less intrusive and could be captured without contact with the acquisition device. Its application ranges from forensic examination to basic authentication use. However, restrictions in hand placement have proven to be one of its challenges. Users are either instructed to keep their fingers separate or closed during capture. Hence, this paper presents an approach to hand geometry using finger measurements that considers both closed and separate fingers. The system starts by cropping out the finger section of the hand and then resizing the cropped fingers. 20 distances were extracted from each finger in both separate and closed finger images. A comparison was made between Manhattan distance and Euclidean distance for features extraction. The support vector machine (SVM) was used for classification. The result showed a better result for Euclidean distance with a false acceptance ratio (FAR) of 0.6 and a false rejection ratio (FRR) of 1.2.</span>
  • Feature selection and computational optimization in high-dimensional microarray cancer datasets via InfoGain-modified bat algorithm
    Moshood A. Hambali, Tinuke O. Oladele, Kayode S. Adewole, Arun Kumar Sangaiah, Wei Gao
    Multimedia Tools and Applications, 2022
  • Malicious uniform resource locator detection using wolf optimization algorithm and random forest classifier
    Kayode S. Adewole, Muiz O. Raheem, Oluwakemi C. Abikoye, Adeleke R. Ajiboye, Tinuke O. Oladele, et al.
    Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics Theories and Applications, 2021
  • Development of an inventory management system using association rule
    Tinuke Omolewa Oladele, Roseline Oluwaseun Ogundokun, Adekanmi Adeyinka Adegun, Emmanuel Abidemi Adeniyi, Ayobami Tayo Ajanaku
    Indonesian Journal of Electrical Engineering and Computer Science, 2021
    <span>Stores today still make use of manual approaches to keeping inventory which could be cumbersome. Having a computerized inventory system would make inventory management more efficient and effective. In this chapter, an Inventory Management System using Association Rule was developed which will ensure proper record keeping and keep items in stocks updated. ANGULARJS, a JavaScript framework, was used for the implementation of the system, PHP (hypertext pre-processor) was used for the backend of the system development as well as the database management, HTML was used alongside CSS for the system interface design and NoSQL database was the database used for this research. In conclusion, a computerized inventory system that had been improved using the Association Rule method was the resulting product useful for creating transactions, updating items in stock, record keeping, generating reports for decision making, and lastly, the system will make the stores more effective.</span>
  • A joint neuro-fuzzy malaria diagnosis system
    Tinuke Omolewa Oladele, Roseline Oluwaseun Ogundokun, Sanjay Misra, Jide Kehinde Adeniyi, Vivek Jaglan
    Journal of Physics Conference Series, 2021
    Diagnosis takes a definitive role in the course of determining about clarifying patients as either having or not having the disorder. This method is relatively sluggish and tedious. Various fact-finding and data-mining methods are part of the approach of this article. In the development of the Collaborative Neuro-Fuzzy Expert System diagnosis platform, Neural Networks and Fuzzy Logic, which are artificial intelligence methods, have been merged together. Oral interviews were conducted with medical professionals whose experience was caught in the Expertise Developed Fuzzy Proficient Scheme. With Microsoft Visual C # (C Sharp) Programming Language and Microsoft SQL (Structured Query Language) Server 2012 to handle the database, the Neuro-Fuzzy Expert Framework diagnostic software was introduced. To capture the predominant signs, questionnaires were administered to the patients and filled out by the doctors on behalf of the patients.
  • Microarray cancer feature selection: Review, challenges and research directions
    Moshood A. Hambali, Tinuke O. Oladele, Kayode S. Adewole
    International Journal of Cognitive Computing in Engineering, 2020
  • An empirical investigation of the prevalence of osteoarthritis in South West Nigeria: A population- based study
    Kayode Anthonia Aderonke, Akande Noah Oluwatobi, Saheed O Jabaru, Oladele O Tinuke
    International Journal of Online and Biomedical Engineering, 2020
  • Diagmal: A Malaria Coactive Neuro-Fuzzy Expert System
    Tinuke Omolewa Oladele, Roseline Oluwaseun Ogundokun, Joseph Bamidele Awotunde, Marion Olubunmi Adebiyi, Jide Kehinde Adeniyi
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2020
  • A Multiple Algorithm Approach to Textural Features Extraction in Offline Signature Recognition
    Jide Kehinde Adeniyi, Tinuke Omolewa Oladele, Noah Oluwatobi Akande, Roseline Oluwaseun Ogundokun, Tunde Taiwo Adeniyi
    Lecture Notes in Business Information Processing, 2020
  • Evaluation of the scholastic performance of students in 12 programs from a private university in the south-west geopolitical zone in Nigeria
    Roseline O. Ogundokun, Marion O. Adebiyi, Oluwakemi C. Abikoye, Tinuke O. Oladele, Adewale F. Lukman, et al.
    F1000research, 2019
  • Application of Floyd-Warshall’s algorithm in air freight service in Nigeria
    International Journal of Engineering Research and Technology, 2019
  • Application of Data Mining Algorithms for Feature Selection and Prediction of Diabetic Retinopathy
    Tinuke O. Oladele, Roseline Oluwaseun Ogundokun, Aderonke Anthonia Kayode, Adekanmi Adeyinka Adegun, Marion Oluwabunmi Adebiyi
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
  • A Deep Convolutional Encoder-Decoder Architecture for Retinal Blood Vessels Segmentation
    Adegun Adekanmi Adeyinka, Marion Olubunmi Adebiyi, Noah Oluwatobi Akande, Roseline Oluwaseun Ogundokun, Anthonia Aderonke Kayode, et al.
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019

RECENT SCHOLAR PUBLICATIONS

  • Comparative analysis of SVM and logistic regression for classifying diagnostic microRNA signatures in colorectal cancer
    MA Mabayoje, J Bello, TO Oladele, AO Akinrotimi
    LAUTECH Journal of Engineering and Technology 19 (4), 79-90 , 2025
    2025
  • Classification model for prediction of hypertension
    PO Sadiku, U Musa, MA Ajiboye
    Sule Lamido Univ J Sci Technol Spec, 11 , 2025
    2025
    Citations: 3
  • Prediction of Parkinson’s Disease using Recurrent Neural Network
    TO Oladele, ER Jimoh, SA Yinusa, VI Ezeliorah, AM Adewuyi, MA Yakub
    2025
  • Cnn-lstm model for mitigation of ddos attacks in software-defined networks
    ER Jimoh, TO Oladele, OT Oladele, AO Akinlolu, MB Akanbi, ...
    2024 International Conference on Science, Engineering and Business for … , 2024
    2024
    Citations: 4
  • Sclera boundary localization using circular hough transform and a modified run-data based algorithm
    TT Adeniyi, OT Omolewa, JK Adeniyi
    TELKOMNIKA (Telecommunication Computing Electronics and Control) 22 (3), 720-731 , 2024
    2024
    Citations: 3
  • A mobile palmprint authentication system using a modified MNT algorithm, Circular Local Binary Pattern, and CNN (mobileNet)
    JK Adeniyi, TO Oladele, AA Adebiyi, M Adebiyi, TT Adeniyi
    International journal on advanced science engineering information technology … , 2023
    2023
    Citations: 3
  • ON THE CODEBOOK OF A GENETIC ENCODER MODEL OF THE E-COLI BACTERIUM IN DNA COMPUTING
    B Oluwade, M Amusa, T Oladele, C Bewaji, A Makolo
    THEME: ICTand Knowledge Generation for Innovation and Industrial Development … , 2023
    2023
  • Analysis of deep neural networks algorithms for mitigating distributed denial of service attacks in Software defined networks
    TO Oladele, ER Jimoh
    FUW Trends in Science & Technology 8 (3), 353-360 , 2023
    2023
    Citations: 3
  • An Ensemble Models for the Prediction of Sickle Cell Disease from Erythrocytes Smears
    OB Ayoade, TO Oladele, AL Imoize, JA Adeloye, JB Awotunde, ...
    EAI Endorsed Transactions on Pervasive Health and Technology 9 (10.4108) , 2023
    2023
    Citations: 5
  • Border Control via Passport Verification using Fingerprint Authentication Technique
    TO Oladele, JA Emmanuel, OT Oladele, KS Adewole, AJ Kehinde
    IEEE Xplore- 2023 International Conference on Science, Engineering and … , 2023
    2023
    Citations: 5
  • Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): Healthcare systems perspective
    OB Ayoade, TO Oladele, AL Imoize, JB Awotunde, AJ Adeloye, ...
    2022
    Citations: 20
  • Hand geometry recognition: an approach for closed and separated fingers
    AJ Kehinde, OT Omolewa, ON Akande, AT Taiwo
    International Journal of Electrical and Computer Engineering 12 (6), 6079 , 2022
    2022
    Citations: 3
  • Feature selection and computational optimization in high-dimensional microarray cancer datasets via InfoGain-modified bat algorithm
    MA Hambali, TO Oladele, KS Adewole, AK Sangaiah, W Gao
    Multimedia Tools and Applications 81 (25), 36505-36549 , 2022
    2022
    Citations: 18
  • Malicious Uniform Resource Locator Detection Using Wolf Optimization Algorithm and Random Forest Classifier
    KS Adewole, MO Raheem, OC Abikoye, AR Ajiboye, TO Oladele, ...
    Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics … , 2021
    2021
    Citations: 3
  • Development of an inventory management system using association rule
    TO Oladele, RO Ogundokun, AA Adegun, EA Adeniyi, AT Ajanaku
    Indonesian Journal of Electrical Engineering and Computer Science 21 (3 … , 2021
    2021
    Citations: 22
  • A joint neuro-fuzzy malaria diagnosis system
    TO Oladele, RO Ogundokun, S Misra, JK Adeniyi, V Jaglan
    Journal of Physics: Conference Series 1767 (1), 012038 , 2021
    2021
    Citations: 5
  • Performance comparison of selected swarm intelligence algorithms on breast cancer diagnosis
    BJ Olorunsola, TO Oladele, TO Aro, H Babalola, OA Olukiran
    Algorithms 3 (1) , 2021
    2021
    Citations: 1
  • Nature-inspired meta-heuristic optimization algorithms for breast cancer diagnostic model: A comparative study
    OT Omolewa
    Faculty of Engineering, Federal University Oye-Ekiti. , 2021
    2021
    Citations: 8
  • A Multiple Algorithm Approach to Textural Features Extraction in Offline Signature Recognition
    JK Adeniyi, TO Oladele, NO Akande, RO Ogundokun, TT Adeniyi
    European, Mediterranean, and Middle Eastern Conference on Information … , 2020
    2020
    Citations: 1
  • Diagmal: A malaria coactive neuro-fuzzy expert system
    TO Oladele, RO Ogundokun, JB Awotunde, MO Adebiyi, JK Adeniyi
    International Conference on Computational Science and Its Applications, 428-441 , 2020
    2020
    Citations: 30

MOST CITED SCHOLAR PUBLICATIONS

  • Microarray Cancer Feature Selection: Review, Challenges and Research Directions
    MA Hambali, TO Oladele, KS Adewole
    International Journal of Cognitive Computing in Engineering 1, 78-97 , 0
    Citations: 122
  • Student performance prediction based on data mining classification techniques
    YK Saheed, TO Oladele, AO Akanni, WM Ibrahim
    Nigerian Journal of Technology 37 (4), 1087-1091 , 2018
    2018.0
    Citations: 45
  • Application of data mining algorithms for feature selection and prediction of diabetic retinopathy
    TO Oladele, RO Ogundokun, AA Kayode, AA Adegun, MO Adebiyi
    International Conference on Computational Science and Its Applications, 716-730 , 2019
    2019.0
    Citations: 41
  • ADABOOST ensemble algorithms for breast cancer classification
    M Hambali, Y Saheed, T Oladele, M Gbolagade
    Journal of Advances in Computer Research 10 (2), 31-52 , 2019
    2019.0
    Citations: 38
  • Diagmal: A malaria coactive neuro-fuzzy expert system
    TO Oladele, RO Ogundokun, JB Awotunde, MO Adebiyi, JK Adeniyi
    International Conference on Computational Science and Its Applications, 428-441 , 2020
    2020.0
    Citations: 30
  • A deep convolutional encoder-decoder architecture for retinal blood vessels segmentation
    AA Adeyinka, MO Adebiyi, NO Akande, RO Ogundokun, AA Kayode, ...
    International Conference on Computational Science and Its Applications, 180-189 , 2019
    2019.0
    Citations: 25
  • Development of an inventory management system using association rule
    TO Oladele, RO Ogundokun, AA Adegun, EA Adeniyi, AT Ajanaku
    Indonesian Journal of Electrical Engineering and Computer Science 21 (3 … , 2021
    2021.0
    Citations: 22
  • Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): Healthcare systems perspective
    OB Ayoade, TO Oladele, AL Imoize, JB Awotunde, AJ Adeloye, ...
    2022.0
    Citations: 20
  • Feature selection and computational optimization in high-dimensional microarray cancer datasets via InfoGain-modified bat algorithm
    MA Hambali, TO Oladele, KS Adewole, AK Sangaiah, W Gao
    Multimedia Tools and Applications 81 (25), 36505-36549 , 2022
    2022.0
    Citations: 18
  • Evaluation of the scholastic performance of students in 12 programs from a private university in the south-west geopolitical Zone in Nigeria
    RO Ogundokun, MO Adebiyi, OC Abikoye, TO Oladele, AF Lukman, ...
    F1000Research , 2019
    2019.0
    Citations: 18
  • Comparative evaluation of linear support vector machine and K-nearest neighbour algorithm using microarray data on leukemia cancer dataset
    AK Oladejo, TO Oladele, YK Saheed
    Afr. J. Comput. ICT 11 (2), 1-10 , 2018
    2018.0
    Citations: 14
  • Coactive neuro-fuzzy expert system: A framework for diagnosis of malaria
    TO Oladele, JS Sadiku, RO Oladele
    African Journal of Computing & ICTs (AJOCICT) , 2014
    2014.0
    Citations: 14
  • Forged signature detection using artificial neural network
    TO Oladele, KS Adewole, AO Oyelami, TN Abiodun
    African Journal of Computing & ICT 7 (3), 11-20 , 2014
    2014.0
    Citations: 13
  • Drug target selection for malaria: molecular basis for the drug discovery process
    TO Oladele, CO Bewaji, JS Sadiku
    CPJ 2012033, 18204 , 2012
    2012.0
    Citations: 10
  • Article: Dental Expert System
    O Oladele Tinuke, S Yetunde
    International Journal of Applied Information Systems 2, 1-15 , 2015
    2015.0
    Citations: 9
  • Nature-inspired meta-heuristic optimization algorithms for breast cancer diagnostic model: A comparative study
    OT Omolewa
    Faculty of Engineering, Federal University Oye-Ekiti. , 2021
    2021.0
    Citations: 8
  • In silico characterization of some hypothetical proteins in the proteome of Plasmodium falciparum
    TO Oladele, JS Sadiku, CO Bewaji
    CPJ 2011134, 17206 , 2011
    2011.0
    Citations: 8
  • An Empirical Investigation of the Prevalence of Osteoarthritis in South West Nigeria: A Population-Based Study
    K Aderonke, A Oluwatobi, S Jabaru, O Tinuke
    International Association of Online Engineering , 2020
    2020.0
    Citations: 6
  • Neuro-fuzzy expert system for diagnosis of thyroid diseases
    TO Oladele, CD Okonji, A Adekanmi, FF Abiola
    Annale Computer Science Series 16 (2), 45-54 , 2018
    2018.0
    Citations: 6
  • An Ensemble Models for the Prediction of Sickle Cell Disease from Erythrocytes Smears
    OB Ayoade, TO Oladele, AL Imoize, JA Adeloye, JB Awotunde, ...
    EAI Endorsed Transactions on Pervasive Health and Technology 9 (10.4108) , 2023
    2023.0
    Citations: 5