Solomon Adepoju

@futminna.edu.ng

Lecturer, Department of Computer Science, School of ICT
Federal University of Technology Minna

Solomon Adepoju


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RESEARCH INTERESTS

HCI
Usability
Accessibility
Multi-criteria decision making
23

Scopus Publications

676

Scholar Citations

13

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Systematic literature review and bibliometric analysis of pipeline monitoring and leakage detection techniques
    Adamu Abubakar, Opeyemi Aderiike Abisoye, Isiaq Oludare Alabi, Adepoju Solomon, Ishaq Oyebisi Oyefolahan
    Discover Mechanical Engineering, 2025
    Liquids such as water, chemicals, oil, and gas are mostly transported via pipelines worldwide. It is considered one of the fastest, cheapest, and most reliable methods of transporting oil and gas. One of the major threats to this form of transportation of liquids is leakage due to vandalism or deterioration causing economic loss, environmental damages, and loss of lives and properties. To mitigate these threats, several techniques have been proposed. This systematic review analysed the various principles and approaches of pipeline leakage detection and monitoring. Furthermore, relevant standard, taxonomy of different methods of monitoring, and leakage detection of oil and gas in pipelines were discussed; their merits, performance and limitations were also discussed. Kitchenham literature search strategy was adopted to search relevant academic databases using various principles of inclusion and exclusion criteria to filter unaligned articles. It was found that integrating two or more techniques enhances the efficiency, effectiveness and accuracy of detecting and monitoring leakages in pipeline. Finally, this review concludes by outlining potential ways for future researchers based on the limitations and findings of the reviewed articles.
  • Landmark-Aware Heterogeneous Graph Framework for Multi-Source Road Crash Data Integration in Nigeria
    Emmanuel Ogbonnia O, O. A. Ojerinde, E. F. Aminu, Isiaq Olúdáre Alabi, S. A. Adepoju
    Nipes Journal of Science and Technology Research, 2025
    Proper forecasting of road crash in developing nations requires holistic, contextually relevant information that characterises complex spatial-temporal relationships. This paper presents a novel data collection and integration paradigm that was developed to address the most serious gaps in the studies on road safety in Nigeria. Using both Federal Road Safety Corps (FRSC) crash records and OpenStreetMap (OSM) geospatial data, a heterogeneous graph model of 559,622 road nodes and 81,986 amenity nodes in 37 administrative regions is built. The approach uses the Haversine-based proximity calculations and Gaussian radial basis functions to enrich the structure that provides a geocoding success rate of 93.7% and a 100.0% weather data enrichment in 104,672 crash records. The framework also builds landmark aware graph construction, where road infrastructure properties (type, speed limit, surface) are combined with contextual amenities (hospitals, schools, markets) by relation specific edges. Findings indicate high levels of completeness of data (95-100 percent core attributes) and effective implementation in a Neo4j graph system architecture. This paper provides a basis of context-specific Graph Neural Network (GNN) models to match the local infrastructural and traffic peculiarities of developing countries, thus overcoming the constraints of Western-oriented datasets.
  • Piracy in Perspective: Exploring Drivers of Digital Piracy Intention in Nigeria
    Oluwafemi Osho, Victor Yisa, Polra Victor Falade, Augustine Yusuf, Solomon Adepoju, Rita Orji
    Proceedings of the 5th Biennial African Human Computer Interaction Conference Africhi 2025, 2025
    Given the global proliferation of digital piracy and its persistence despite legal and technological measures, our research addresses the gap in understanding how psychological, behavioral, ethical factors influence digital piracy behavior in a non-WEIRD context, specifically in Nigeria. Using an integrated model approach, this study examines the factors that influence intention to engage in digital piracy. Data was collected from 276 participants via online and paper-based surveys and analyzed using structural equation modeling. The findings show that moral obligation decreases piracy intention, while favorable attitudes and perceived benefits increase it. The effects of perceived equitable relationship and legal deterrence are fully mediated by attitude. These insights are crucial for developing more effective anti-piracy strategies tailored to the specific context of non-WEIRD countries.
  • Polycystic Ovary Syndrome Detection using Support Vector Machine.
    Ayobami Ekundayo, Enesi Femi Aminu, Oluwaseun Adeniyi Ojerinde, John Kolo Alhassan, Solomon Adelowo
    Nipes Journal of Science and Technology Research, 2025
    There is a growing interest in using machine learning to develop a model for detecting PCOS. Given that the condition usually affects women of reproductive age and causes infertility, this development is understandable. This study explores the effectiveness of Support Vector Machine (SVM) in detecting Polycystic Ovary Syndrome. The enhanced red deer algorithm (eRDA) was used for selecting the best features from the PCOS dataset obtained from Kaggle repository. The dataset from the kaggle repository was balanced using the Synthetic Minority Oversampling Technique (SMOTE). The Min-Max scaling technique was employed as the data balancing technique. The study tested five SVM models based on random state, kernel, and maximum iteration parameters to determine their viability. The kernel type of SVM employed in this study is: radial basis function, sigmoid, and poly. Model 4 of the SVM achieved 85% accuracy at random state 45, with a poly kernel, and maximum iteration of -1.
  • A Survey of Multi-Criteria Decision-Making in e-Banking Websites Quality Evaluation
    Solomon Adelowo Adepoju, John Kolo Alhassan, Oluwaseun Adeniyi Ojerinde, Christy Dayida Shaba
    Asia Pacific Journal of Information Technology and Multimedia, 2024
    Electronic banking grants users access to banking services virtually and offers convenience, ease of use, low cost, time saving, fast delivery and online bill payment. These services are mostly provided through websites; hence evalution of its quality and services are very important. Website quality evaluation entails numerous dimensions and attributes and the processes which are critical as well as complex requires quality, accuracy and objectivity. This paper surveys the criteria and methodologies that have been used over years in e-banking websites quality as well as e-services quality evaluation. The survey covers articles within a five-year period from 2018 – 2022 which mostly focus on e-banking websites quality evaluation. Twenty-three articles which met the inclusion and exclusion criterai set by the authors are used for the study. Results show that the everage number of crtieria used in most studies are six with security, privacy and ease-of-use taking the lead as the mostly used criteris across different studies. Also, various types of multi-criteria decision-making model were used by diffferent and there is none that is dominant among them. It was observed that fuzzy type of the various types of multi-criteria decision-making models are mostly used in many studies. In general, studies with focus on e-banking websites quality are not yet given much attention in the literature.
  • Students’ Subscribers Ranking of Mobile Network Operators Using Analytical Hierarchical Process
    Solomon Adelowo Adepoju, Oluwaseun Adeniyi Ojerinde, Eugene Aigbogun Osaretin
    Lecture Notes in Networks and Systems, 2023
  • Cloud Intrution Detection System Using Antlion Optimization Algorithm and Support Vector Machine (SVM) Techniques
    Haruna Atabo Christopher, Joseph Adebayo Ojeniyi, Solomon Adelowo Adepoju, Opeyemi Aderike Abisoye
    2023 International Conference on Science Engineering and Business for Sustainable Development Goals Seb Sdg 2023, 2023
    Cloud computing is an emerging technology that provides services and computing resources on demand to users with less management effort through the internet. Because of the increase in the number of internet user and the distributed nature of cloud, it has become a platform for criminal activities from within and outside of cloud environment. The cloud based intrusion detection system has been found as the most effective security mechanism to prevent intruders from accessing cloud resources. This research has put forward a cloud based Intrusion Detection System that detects criminal behaviors inside cloud, utilizing Antlion Optimization (ALO) as the feature selection algorithm and Support Vector Machine as the Classification algorithm. Results from experiments shows its accuracy to be 98.56%,2.29% False Positive Rate, 96.32% (Recall, Precision and F-Measure), and 92.52% Kappa Statistics.
  • Ensemble Tweets Emotion Detection Model Using Transformer Based Architecture, Support Vector Machine and Long Short-Term Memory
    Opeyemi Aderike Abisoye, Abdullahi Bala, Solomon Adelowo Adepoju, Oluwaseun Adeniyi Ojerinde, John Kolo Alhassan
    Lecture Notes in Networks and Systems, 2023
  • Consensus Based Bank Loan Prediction Model Using Aggregated Decision Making and Cross Fold Validation Techniques
    Ibrahim Hadiza Ndanusa, Solomon Adelowo Adepoju, Adeniyi Oluwaseun Ojerinde
    Proceedings of the 5th International Conference on Information Technology for Education and Development Changing the Narratives Through Building A Secure Society with Disruptive Technologies Ited 2022, 2022
    Considering the growth of the credit businesses, machine learning models for granting loan permissions with the minimum amount of risk are becoming increasingly popular among banking sectors. Machine Learning based models has proven to be useful in resolving a variety of banking risk prediction issues. ML Predictions are sometimes unfair and biased because they are heavily dependent on randomly selected training data sample for every prediction made. However, this problem can be address by utilizing a cross-validation strategy. Prediction can be improved by combining decisions from different machine learning algorithms (ensemble decision making). The proposed consensus-based prediction model is evaluated using standard performance metrics, and the proposed model achieved an accuracy of 83 percent.
  • A Survey of Digital Watermarking Techniques for Data Protection in Cloud Computing
    Abbas Nna Halima, Mohammed Danlami Abdulmalik, Solomon Adelowo Adepoju, Enesi Femi Aminu
    Proceedings of the 5th International Conference on Information Technology for Education and Development Changing the Narratives Through Building A Secure Society with Disruptive Technologies Ited 2022, 2022
    Recently digital watermarking techniques played an essential role in protecting and authenticating the copyright of multimedia content in a cloud. Based on the literature, there are several digital watermarking techniques used for data protection in cloud computing. However, each of these techniques has its own limitations such as high levels of piracy, theft, and unauthorized distribution of multimedia content. This Survey employs a content-based analysis approach to investigate the watermarking techniques that are more secure, imperceptible, and robust against various kinds of multimedia attacks. The survey shows that the hybridization of watermarking techniques and feature descriptors is more efficient in comparison to a single watermarking technique. This research work concludes that the hybridization technique and use of descriptors are more secure.
  • Enhanced Chest X-Ray Classification Model for Covid-19 Patients Using HOG and LBP
    Hafiz Olalekan Salau, Opeyemi Adenike Abisoye, Ishaq Oyebisi Oyefolahan, Solomon Adelowo Adepoju
    Proceedings of the 5th International Conference on Information Technology for Education and Development Changing the Narratives Through Building A Secure Society with Disruptive Technologies Ited 2022, 2022
  • A Three-Step One-Time Password, Textual and Recall-Based Graphical Password for an Online Authentication
    Haruna I Adamu, A. Mohammed, Solomon Adelowo Adepoju, Abisoye Opeyemi Aderiike
    Proceedings of the 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development Nigercon 2022, 2022
  • An approach to Improving Columnar Permutation Cipher for Wills in Distributed Systems of Law Firms
    Emeka Nwokedi, Oluwaseun Adeniyi Ojerinde, Joseph Ojeniyi, Solomon Adepoju
    ACM International Conference Proceeding Series, 2021
  • Collaborative Learning Strategy and Students' Academic Performance in Mathematics and Computer Programming
    Salako E. Adekunle, Solomon Adelowo Adepoju
    Handbook of Research on Using Global Collective Intelligence and Creativity to Solve Wicked Problems, 2020
  • Multi-criteria decision-making based approaches in website quality and usability evaluation: A systematic review
    Solomon Adelowo Adepoju, Ishaq Oyebisi Oyefolahan, Muhammed Bashir Abdullahi, Adamu Alhaji Mohammed
    Journal of Information and Communication Technology, 2020
  • Usability and Accessibility Evaluation of Nigerian Mobile Network Operators' Websites
    Solomon Adelowo Adepoju, Ayobami Ekundayo, Adeniyi Oluwaseun Ojerinde, Rofiat Ahmed
    2019 2nd International Conference of the IEEE Nigeria Computer Chapter Nigeriacomputconf 2019, 2019
  • The Nigerian E-Waste Problem: Way Forward
    Victor Ndako Adama, Ibrahim Shehi Shehu, Solomon Adelowo Adepojur, A. Fatima Sulayman
    Advances in Intelligent Systems and Computing, 2019
  • Towards designing mobile banking user interfaces for novice users
    Victor Ndako Adama, Ibrahim Shehi Shehu, Solomon Adelowo Adepoju, Rasheed Gbenga Jimoh
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2017
  • Cybercafés in Nigeria: Curse to the internet?
    Ceur Workshop Proceedings, 2016
  • Enhanced select and test (eST) algorithm: Framework for diagnosing and monitoring related ailments
    Ceur Workshop Proceedings, 2016
  • Usability evaluation of academic websites using automated tools
    S. A. Adepoju, I. S. Shehu
    Proceedings 2014 3rd International Conference on User Science and Engineering Experience Engineer Engage I User 2014, 2015
  • A survey of ATM security implementation within the Nigerian banking environment
    Journal of Internet Banking and Commerce, 2013
  • Challenges of Automated Teller Machine (ATM) usage and fraud occurrences in Nigeria - A case study of selected banks in Minna metropolis
    Journal of Internet Banking and Commerce, 2010

RECENT SCHOLAR PUBLICATIONS

  • An optimized deep neural network and transfer learning approaches for endometriosis classification
    OA Abisoye, R Ailoyafen, SA Adepoju, BO Abisoye, OT Akinwande, ...
    Nature Journal of Emerging Sciences Technologies and Innovations 6 (3), 325-336 , 2026
    2026
  • Experimenting Polycystic Ovary Syndrome Detection Based on Optimized Classification Algorithms
    A Ekundayo, JK Alhassan, EF Aminu, SA Adepoju, OA Ojerinde
    Equity Journal of Science and Technology, 0-0 , 2026
    2026
  • Landmark-Aware Heterogeneous Graph Framework for Multi Source Road Crash Data Integration in Nigeria
    E Ogbonnia, OA Ojerinde, EF Aminu, IO Alabi, SA Adepoju
    NIPES JSTR SPECIAL ISSUE 7 (2), 4036–4042-4036–4042 , 2025
    2025
  • Pipeline Leakage Detection and Monitoring Model using Enhanced Multiple Signal Classification Algorithm and Hybrid Acoustic Emission Techniques
    OA Abisoye, A Adamu, IO Alabi, SA Adepoju, IO Oyefolahan
    University of Ibadan Journal of Science and Logics in ICT Research 15 (1) , 2025
    2025
  • Comparison of Analytical Hierarchy Process and Fuzzy Analytical Hierarchy Process Models for E-Banking Websites Quality Evaluation
    SA Adepoju, CD Shaba, YB Lasotte, A Ekundayo
    University of Ibadan Journal of Science and Logics in ICT Research 14 (1), 11-24 , 2025
    2025
  • Polycystic Ovary Syndrome Detection Based on Optimized Machine Learning Techniques
    A Ekundayo, JK Alhassan, SA Adepoju, HO Aliyu
    i-Manager's Journal on Computer Science 13 (3) , 2025
    2025
  • Polycystic Ovary Syndrome Detection using Support Vector Machine.
    A Ekundayo, EF Aminu, OA Ojerinde, JK Alhassan, S Adelowo
    NIPES JSTR SPECIAL ISSUE 7 (1), 2728–2735-2728–2735 , 2025
    2025
  • Piracy in Perspective: Exploring Drivers of Digital Piracy Intention in Nigeria
    O Osho, V Yisa, PV Falade, A Yusuf, S Adepoju, R Orji
    Proceedings of the 5th Biennial African Human Computer Interaction … , 2025
    2025
  • Systematic literature review and bibliometric analysis of pipeline monitoring and leakage detection techniques
    A Abubakar, OA Abisoye, IO Alabi, A Solomon, IO Oyefolahan
    Discover Mechanical Engineering 4 (1), 17 , 2025
    2025
    Citations: 6
  • Investigating the Workability of Random Forest in Polycystic Ovary Syndrome Detection: A Proposed Framework
    E Ayobami, EF Aminu, JK Alhassan, SA Adepoju, OA Ojerinde
    3rd Faculty of Engineering and Technology Conference (FETiCON 2025 … , 2025
    2025
  • A Framework for Prediction of Liver Disease Adapting Binary Butterfly Algorithm with Other Machine Learning Techniques
    MY Gana, FA Enesi, SA Adepoju
    5th Annual International Scientific Conference , Directorate of research and … , 2025
    2025
  • A TOPSIS Approach for Evaluation of Nigerian Airline Website Usability and Accessibility
    AA Saidu, SA Adepoju, OA Ojerinde
    International conference of Education -AI-Driven Education for sustainable … , 2025
    2025
  • Sensitivity of Learners’ Privacy Data (LPD) In Mobile Learning System: A Fuzzy Analytic Hierarchy Scheme (FAHS) Solution
    KM Muhammad, OO Ishaq, MO Olayemi, JA Ojeniyi, SA Adepoju, ...
    Journal of Science, Mathematics and Education, 147-165 , 2025
    2025
  • Machine Learning for detecting Microbial and chemical Contaminants in sachet Water
    R Tafida, UB Umar, H Aliyu, S Adepoju
    Proceedings of the Faculty of Science Conferences 1, 156-162 , 2025
    2025
  • An Improved Myocardial Infarction Detection using Convolutional Neural Network and Graph Neural Network Algorithm
    OA Abisoye, F Kaka, BO Abisoye, SA Adepoju, SA Bashir
    Computer Engineering and Applications Journal 13 (2), 20-29 , 2024
    2024
  • Natural Language Translation From English To Nupe
    M Mohammed, SA Adepoju, OA Abisoye
    International Conference of College of Information and Technology Education … , 2024
    2024
  • The Effect of Patch Size on Accuracy of Vision Transformer for Face Morphing Attack Detection
    MS Musa, SA Bashir, SA Adepoju
    international Multi Disciplinary Conference, University of Calabar , 2024
    2024
  • Development of A Model for Integrating Software Functional Requirements into Software Quality Factor
    A Bala, OA Abisoye, OA Ojerinde, SA Adepoju
    International Conference of School of Innovative Technology, Federal … , 2024
    2024
  • Classification of Endometriosis Disease Using Transfer Learning
    R Ailoyafen, OA Abisoye, SA Adepoju, OA Ojerinde
    International Conference of School of Innovative Technology, Federal … , 2024
    2024
  • Application of Artificial Intelligence (AI) in A Virtual Learning Environment in Tertiary Institutions in Nigeria
    MN Salihu, SA Adepoju, OA Ojerinde, A Ibrahim
    Multi-Disciplinary International Hybrid Conference on Tech-Driven Learning … , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • A Decision Tree Approach for Predicting Students Academic Perfromance
    KD Kolo, SA Adepoju, JK Alhassan
    I.J. Education and Management Engineering 5, 12-19 , 2015
    2015
    Citations: 130
  • Challenges of Automated Teller Machine (ATM) Usage and Fraud Occurrences in Nigeria â   A Case Study of Selected Banks in Minna Metropolis
    AS Adepoju, ME Alhassan
    The Journal of Internet Banking and Commerce 15 (2), 1-10 , 2010
    2010
    Citations: 114
  • Usability evaluation of academic websites using automated tools
    SA Adepoju, IS Shehu
    2014 3rd International Conference on User Science and Engineering (i-USEr … , 2014
    2014
    Citations: 77
  • Accessibility evaluation and performance analysis of e-government websites in Nigeria
    SA Adepoju, IS Shehu, P Bake
    Journal of Advances in Information Technology 7 (1), 49-53 , 2016
    2016
    Citations: 65
  • Multi-criteria decision-making based approaches in website quality and usability evaluation: A systematic review
    SA Adepoju, IO Oyefolahan, MB Abdullahi, AA Mohammed
    Journal of Information and Communication Technology , 2020
    2020
    Citations: 27
  • Keeping with the global trends: An evaluation of accessibility and usability of Nigerian banks websites
    IO Oyefolahan, AA Sule, SA Adepoju, F Babakano
    International Journal of Information Engineering and Electronic Business , 2019
    2019
    Citations: 20
  • Towards designing mobile banking user interfaces for novice users
    VN Adama, IS Shehu, SA Adepoju, RG Jimoh
    International Conference of Design, User Experience, and Usability, 181-197 , 2017
    2017
    Citations: 19
  • A survey of ATM security implementation within the Nigerian banking environment
    FA Adesuyi, AA Solomon, YD Robert, OI Alabi
    The Journal of Internet Banking and Commerce 18 (1), 1-16 , 2013
    2013
    Citations: 18
  • A Three-Step One-Time Password, Textual and Recall-Based Graphical Password for an Online Authentication
    H Adamu, AD Mohammed, SA Adepoju, OA Abisoye
    IEEE 4th International Conference on Disruptive Technologies for Sustainable … , 2022
    2022
    Citations: 15
  • A survey of research trends on University Websites’ Usability Evaluation
    SA Adepoju, IO Oyefolahan, MB Abdullahi, AA Mohammed
    i-manager's Journal on Information Technology , 2019
    2019
    Citations: 15
  • Comparative Study of Inflation Rates Forecasting Using Feed-Forward Artificial Neural Networks and Auto Regressive (AR) Models
    O Bayo Mohammed, A John Kolo, A Solomon A.
    International Journal of Computer Science Issues1 12 (1), 260-266 , 2015
    2015
    Citations: 15
  • Perception of students on computer utilization and academic performance in the north-central geopolitical zone of Nigeria
    SE Adekunle, SA Adepoju, MB Abdullahi
    MECS , 2015
    2015
    Citations: 14
  • An evaluation of Internet connectivity of information technology firms in Minna Metropolis
    JK Alhassan, SA Adepoju
    The Information Technologist. An International Journal of Information and … , 2007
    2007
    Citations: 13
  • Usability and accessibility evaluation of Nigerian mobile network operators’ websites
    SA Adepoju, A Ekundayo, AO Ojerinde, R Ahmed
    2019 2nd International Conference of the IEEE Nigeria Computer Chapter … , 2019
    2019
    Citations: 10
  • Integrated usability evaluation framework for university websites
    SA Adepoju, IO Oyefolahan, MB Abdullahi, AA Mohammed
    i-manager’s Journal on Information Technology , 2019
    2019
    Citations: 9
  • Vehicle Theft Alert and Location Identification Using GSM, GPS and Web Technologies
    G Suleiman, IS Shehu, Olumide S. Adewale, MB Abdullahi, SA Adepoju
    International Journal of Information Technology and Computer Science(IJITCS … , 2016
    2016
    Citations: 8
  • Challenges of ATM Usage and Fraud Occurrences in Nigeria
    AS Adepoju, ME Alhassan
    Journal of Internet Banking and Commerce 15 (2) , 2010
    2010
    Citations: 8
  • Cloud Intrution Detection System Using Antlion Optimization Algorithm and Support Vector Machine (SVM) Techniques
    HA Christopher, JA Ojeniyi, SA Adepoju, OA Abisoye
    2023 International Conference on Science, Engineering and Business for … , 2023
    2023
    Citations: 7
  • Students’ perception about online registration- case study of Federal University of Technology Minna
    SA Adepoju, JK Alhassan
    Journal of Science, Education and Technology 2 (1), 230-234 , 2008
    2008
    Citations: 7
  • Systematic literature review and bibliometric analysis of pipeline monitoring and leakage detection techniques
    A Abubakar, OA Abisoye, IO Alabi, A Solomon, IO Oyefolahan
    Discover Mechanical Engineering 4 (1), 17 , 2025
    2025
    Citations: 6