Andronicus Ayobami Akinyelu

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 16

Top Topics

Support Vector Machine

Machine Learning

Top Venues

Frontiers Artif. Intell.

Neural Comput. Appl.

Secur. Commun. Networks

Publications

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) (2022)
Andronicus Ayobami Akinyelu, Pieter J. Blignaut
COVID-19 diagnosis using deep learning neural networks applied to CT images. Frontiers Artif. Intell. 5 (2022)
Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide Nathaniel Oyelade, Laith Mohammad Abualigah, Jeffrey O. Agushaka, Christopher I. 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 (2022)
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) (2021)
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) (2021)
Andronicus Ayobami Akinyelu, Pieter J. Blignaut
Convolutional Neural Network-Based Technique for Gaze Estimation on Mobile Devices. Frontiers Artif. Intell. 4 (2021)
Absalom E. Ezugwu, Olawale J. Adeleke, Andronicus Ayobami Akinyelu, Serestina Viriri
A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems. Neural Comput. Appl. 32 (10) (2020)
Andronicus Ayobami Akinyelu, Pieter J. Blignaut
Convolutional Neural Network-Based Methods for Eye Gaze Estimation: A Survey. IEEE Access 8 (2020)
Andronicus Ayobami Akinyelu
Bio-inspired technique for improving machine learning speed and big data processing. IJCNN (2020)
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) (2020)
Andronicus Ayobami Akinyelu
Machine Learning and Nature Inspired Based Phishing Detection: A Literature Survey. Int. J. Artif. Intell. Tools 28 (5) (2019)
Andronicus Ayobami Akinyelu, Absalom E. Ezugwu
Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization. IEEE Access 7 (2019)
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) (2018)
Andronicus Ayobami Akinyelu, Aderemi Oluyinka Adewumi
Improved Instance Selection Methods for Support Vector Machine Speed Optimization. Secur. Commun. Networks 2017 (2017)
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) (2017)
Aderemi Oluyinka Adewumi, Andronicus Ayobami Akinyelu
A hybrid firefly and support vector machine classifier for phishing email detection. Kybernetes 45 (6) (2016)
Andronicus Ayobami Akinyelu, Aderemi Oluyinka Adewumi
Classification of Phishing Email Using Random Forest Machine Learning Technique. J. Appl. Math. 2014 (2014)