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ORCIDAndronicus Ayobami Akinyelu
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- affiliation: University of the Free State, Bloemfontein, South Africa
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2020 – today
- 2022
[j16]Absalom E. Ezugwu
, Abiodun M. Ikotun, Olaide Nathaniel Oyelade, Laith Mohammad Abualigah, Jeffrey O. Agushaka, Christopher Ifeanyi Eke, Andronicus Ayobami Akinyelu:
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. Eng. Appl. Artif. Intell. 110: 104743 (2022)- [j15]Andronicus Ayobami Akinyelu, Pieter J. Blignaut:
COVID-19 diagnosis using deep learning neural networks applied to CT images. Frontiers Artif. Intell. 5 (2022) - [j14]Andronicus Ayobami Akinyelu, Fulvio Zaccagna, James T. Grist, Mauro Castelli, Leonardo Rundo:
Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey. J. Imaging 8(8): 205 (2022) - 2021
- [j13]Absalom E. Ezugwu, Amit K. Shukla, Rahul Nath, Andronicus Ayobami Akinyelu, Jeffrey O. Agushaka, Haruna Chiroma, Pranab K. Muhuri:
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis. Artif. Intell. Rev. 54(6): 4237-4316 (2021) - [j12]Andronicus Ayobami Akinyelu, Pieter J. Blignaut:
Convolutional Neural Network-Based Technique for Gaze Estimation on Mobile Devices. Frontiers Artif. Intell. 4: 796825 (2021) - [j11]Andronicus Ayobami Akinyelu:
Advances in spam detection for email spam, web spam, social network spam, and review spam: ML-based and nature-inspired-based techniques. J. Comput. Secur. 29(5): 473-529 (2021) - 2020
- [j10]Andronicus Ayobami Akinyelu, Pieter J. Blignaut:
Convolutional Neural Network-Based Methods for Eye Gaze Estimation: A Survey. IEEE Access 8: 142581-142605 (2020) - [j9]Absalom E. Ezugwu, Olawale Joshua Adeleke, Andronicus Ayobami Akinyelu, Serestina Viriri:
A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems. Neural Comput. Appl. 32(10): 6207-6251 (2020) - [j8]Andronicus Ayobami Akinyelu, Absalom E. Ezugwu, Aderemi Oluyinka Adewumi:
Ant colony optimization edge selection for support vector machine speed optimization. Neural Comput. Appl. 32(15): 11385-11417 (2020) - [c1]Andronicus Ayobami Akinyelu:
Bio-inspired technique for improving machine learning speed and big data processing. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j7]Andronicus Ayobami Akinyelu, Absalom E. Ezugwu:
Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization. IEEE Access 7: 154581-154599 (2019) - [j6]Andronicus Ayobami Akinyelu:
Machine Learning and Nature Inspired Based Phishing Detection: A Literature Survey. Int. J. Artif. Intell. Tools 28(5): 1930002:1-1930002:44 (2019) - 2018
- [j5]Andronicus Ayobami Akinyelu, Aderemi Oluyinka Adewumi:
On the Performance of Cuckoo Search and Bat Algorithms Based Instance Selection Techniques for SVM Speed Optimization with Application to e-Fraud Detection. KSII Trans. Internet Inf. Syst. 12(3): 1348-1375 (2018) - 2017
- [j4]Aderemi Oluyinka Adewumi, Andronicus Ayobami Akinyelu:
A survey of machine-learning and nature-inspired based credit card fraud detection techniques. Int. J. Syst. Assur. Eng. Manag. 8(2s): 937-953 (2017) - [j3]Andronicus Ayobami Akinyelu, Aderemi Oluyinka Adewumi:
Improved Instance Selection Methods for Support Vector Machine Speed Optimization. Secur. Commun. Networks 2017: 6790975:1-6790975:11 (2017) - 2016
- [j2]Aderemi Oluyinka Adewumi, Andronicus Ayobami Akinyelu:
A hybrid firefly and support vector machine classifier for phishing email detection. Kybernetes 45(6): 977-994 (2016) - 2014
- [j1]Andronicus Ayobami Akinyelu, Aderemi Oluyinka Adewumi:
Classification of Phishing Email Using Random Forest Machine Learning Technique. J. Appl. Math. 2014: 425731:1-425731:6 (2014)
Coauthor Index
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