Andronicus Ayobami Akinyelu

According to our database, Andronicus Ayobami Akinyelu authored at least 17 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey.

Andronicus Ayobami Akinyelu, Fulvio Zaccagna, James T. Grist, Mauro Castelli, Leonardo Rundo

J. Imaging, 2022

COVID-19 diagnosis using deep learning neural networks applied to CT images.

Andronicus Ayobami Akinyelu, Pieter J. Blignaut

Frontiers Artif. Intell., 2022

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects.

Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide Nathaniel Oyelade, Laith Mohammad Abualigah, Jeffrey O. Agushaka, Christopher Ifeanyi Eke, Andronicus Ayobami Akinyelu

Eng. Appl. Artif. Intell., 2022

2021

Advances in spam detection for email spam, web spam, social network spam, and review spam: ML-based and nature-inspired-based techniques.

Andronicus Ayobami Akinyelu

J. Comput. Secur., 2021

Convolutional Neural Network-Based Technique for Gaze Estimation on Mobile Devices.

Andronicus Ayobami Akinyelu, Pieter J. Blignaut

Frontiers Artif. Intell., 2021

Metaheuristics: a comprehensive overview and classification along with bibliometric analysis.

Absalom E. Ezugwu, Amit K. Shukla, Rahul Nath, Andronicus Ayobami Akinyelu, Jeffrey O. Agushaka, Haruna Chiroma, Pranab K. Muhuri

Artif. Intell. Rev., 2021

2020

A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems.

Absalom E. Ezugwu, Olawale Joshua Adeleke, Andronicus Ayobami Akinyelu, Serestina Viriri

Neural Comput. Appl., 2020

Ant colony optimization edge selection for support vector machine speed optimization.

Andronicus Ayobami Akinyelu, Absalom E. Ezugwu, Aderemi Oluyinka Adewumi

Neural Comput. Appl., 2020

Convolutional Neural Network-Based Methods for Eye Gaze Estimation: A Survey.

Andronicus Ayobami Akinyelu, Pieter J. Blignaut

IEEE Access, 2020

Bio-inspired technique for improving machine learning speed and big data processing.

Andronicus Ayobami Akinyelu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Machine Learning and Nature Inspired Based Phishing Detection: A Literature Survey.

Andronicus Ayobami Akinyelu

Int. J. Artif. Intell. Tools, 2019

Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization.

Andronicus Ayobami Akinyelu, Absalom E. Ezugwu

IEEE Access, 2019

2018

On the Performance of Cuckoo Search and Bat Algorithms Based Instance Selection Techniques for SVM Speed Optimization with Application to e-Fraud Detection.

Andronicus Ayobami Akinyelu, Aderemi Oluyinka Adewumi

KSII Trans. Internet Inf. Syst., 2018

2017

Improved Instance Selection Methods for Support Vector Machine Speed Optimization.

Andronicus Ayobami Akinyelu, Aderemi Oluyinka Adewumi

Secur. Commun. Networks, 2017

A survey of machine-learning and nature-inspired based credit card fraud detection techniques.

Aderemi Oluyinka Adewumi, Andronicus Ayobami Akinyelu

Int. J. Syst. Assur. Eng. Manag., 2017

2016

A hybrid firefly and support vector machine classifier for phishing email detection.

Aderemi Oluyinka Adewumi, Andronicus Ayobami Akinyelu

Kybernetes, 2016

2014

Classification of Phishing Email Using Random Forest Machine Learning Technique.

Andronicus Ayobami Akinyelu, Aderemi Oluyinka Adewumi

J. Appl. Math., 2014