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Oluwole Charles Akinyokun

About Oluwole Charles Akinyokun

Oluwole Charles Akinyokun, With an exceptional h-index of 14 and a recent h-index of 8 (since 2020), a distinguished researcher at Federal University of Technology, Akure, specializes in the field of Neural Network, Fuzzy Logic, Database and Expert Systems, Computer Network, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Implementation of a hybridized machine learning framework for flood risk management

A hybrid machine learning approach for flood risk assessment and classification

Oluwole Charles Akinyokun Information

University

Position

Nigeria

Citations(all)

598

Citations(since 2020)

233

Cited By

414

hIndex(all)

14

hIndex(since 2020)

8

i10Index(all)

20

i10Index(since 2020)

6

Email

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University Profile Page

Federal University of Technology, Akure

Google Scholar

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Oluwole Charles Akinyokun Skills & Research Interests

Neural Network

Fuzzy Logic

Database and Expert Systems

Computer Network

Artificial Intelligence

Top articles of Oluwole Charles Akinyokun

Title

Journal

Author(s)

Publication Date

Implementation of a hybridized machine learning framework for flood risk management

Oluwole Charles Akinyokun

Udoinyang Godwin Inyang

Emem Etok Akpan

2020

A hybrid machine learning approach for flood risk assessment and classification

International Journal of Computational Intelligence and Applications

Udoinyang Godwin Inyang

Emem Etok Akpan

Oluwole Charles Akinyokun

2020/6/26

See List of Professors in Oluwole Charles Akinyokun University(Federal University of Technology, Akure)