| A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects AE Ezugwu, AM Ikotun, OO Oyelade, L Abualigah, JO Agushaka, CI Eke, ... Engineering Applications of Artificial Intelligence 110, 104743, 2022 | 756 | 2022 |
| Metaheuristics: a comprehensive overview and classification along with bibliometric analysis AE Ezugwu, AK Shukla, R Nath, AA Akinyelu, JO Agushaka, H Chiroma, ... Artificial Intelligence Review 54, 4237-4316, 2021 | 275 | 2021 |
| A survey of machine-learning and nature-inspired based credit card fraud detection techniques AO Adewumi, AA Akinyelu International Journal of System Assurance Engineering and Management 8, 937-953, 2017 | 272 | 2017 |
| Classification of phishing email using random forest machine learning technique AA Akinyelu, AO Adewumi Journal of Applied Mathematics 2014 (1), 425731, 2014 | 269 | 2014 |
| A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems AE Ezugwu, OJ Adeleke, AA Akinyelu, S Viriri Neural Computing and Applications 32 (10), 6207-6251, 2020 | 149 | 2020 |
| Brain tumor diagnosis using machine learning, convolutional neural networks, capsule neural networks and vision transformers, applied to MRI: a survey AA Akinyelu, F Zaccagna, JT Grist, M Castelli, L Rundo Journal of imaging 8 (8), 205, 2022 | 93 | 2022 |
| Convolutional neural network-based methods for eye gaze estimation: A survey AA Akinyelu, P Blignaut IEEE Access 8, 142581-142605, 2020 | 78 | 2020 |
| Advances in spam detection for email spam, web spam, social network spam, and review spam: ML-based and nature-inspired-based techniques AA Akinyelu Journal of Computer Security 29 (5), 473-529, 2021 | 26 | 2021 |
| Revolutionizing crop disease detection with computational deep learning: a comprehensive review HN Ngugi, AE Ezugwu, AA Akinyelu, L Abualigah Environmental Monitoring and Assessment 196 (3), 302, 2024 | 25 | 2024 |
| Machine learning and nature inspired based phishing detection: a literature survey AA Akinyelu International Journal on Artificial Intelligence Tools 28 (05), 1930002, 2019 | 20 | 2019 |
| Improved instance selection methods for support vector machine speed optimization AA Akinyelu, AO Adewumi Security and Communication Networks 2017 (1), 6790975, 2017 | 20 | 2017 |
| Convolutional neural network-based technique for gaze estimation on mobile devices AA Akinyelu, P Blignaut Frontiers in artificial intelligence 4, 796825, 2022 | 19 | 2022 |
| On the performance of cuckoo search and bat algorithms based instance selection techniques for SVM speed optimization with application to e-fraud detection AA Akinyelu, AO Adewumi KSII Transactions on Internet and Information Systems (TIIS) 12 (3), 1348-1375, 2018 | 17 | 2018 |
| COVID-19 diagnosis using deep learning neural networks applied to CT images AA Akinyelu, P Blignaut Frontiers in Artificial Intelligence 5, 919672, 2022 | 15 | 2022 |
| Ant colony optimization edge selection for support vector machine speed optimization AA Akinyelu, AE Ezugwu, AO Adewumi Neural Computing and Applications 32 (15), 11385-11417, 2020 | 13 | 2020 |
| Nature inspired instance selection techniques for support vector machine speed optimization AA Akinyelu, AE Ezugwu IEEE Access 7, 154581-154599, 2019 | 12 | 2019 |
| Machine learning models for efficient characterization of Schottky barrier photodiode internal parameters RO Ocaya, AA Akinyelu, AG Al-Sehemi, A Dere, AA Al-Ghamdi, ... Scientific Reports 13 (1), 13990, 2023 | 6 | 2023 |
| COVID-19 diagnosis in computerized tomography (CT) and X-ray scans using capsule neural network AA Akinyelu, B Bah Diagnostics 13 (8), 1484, 2023 | 5 | 2023 |
| Bio-inspired technique for improving machine learning speed and big data processing AA Akinyelu 2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 4 | 2020 |
| Hybrid machine learning-based intelligent technique for improved big data analytics AA Akinyelu 2019 6th International Conference on Soft Computing & Machine Intelligence …, 2019 | 3 | 2019 |
