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.
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.
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.
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
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
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