otasowie Owolafe (Iyare)

About otasowie Owolafe (Iyare)

otasowie Owolafe (Iyare), With an exceptional h-index of 4 and a recent h-index of 3 (since 2020), a distinguished researcher at Federal University of Technology, Akure, specializes in the field of Machine Learning, Cyber security.

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

Audio Steganalysis Using Fractal Dimension and Convolutional Neural Network (CNN) Model

Comparative Review of Credit Card Fraud Detection using Machine Learning and Concept Drift Techniques

Dynamic Resilience in Credit Card Fraud Detection: The Adaptive Accuracy Weighted Ensemble Approach

Rogue Access Detection Using Multi-Parameter Dynamic Features on WLAN

Erythemato Squamous Disease Prediction using Ensemble Multi-Feature Selection Approach

Tenant Harassment Prediction: Comparative Analysis of Different Machine Learning Classifiers

Prediction of erythemato squamous-disease using ensemble learning framework

Analysis of Crypto-Ransomware Using Network Traffic

otasowie Owolafe (Iyare) Information

University

Position

___

Citations(all)

53

Citations(since 2020)

32

Cited By

22

hIndex(all)

4

hIndex(since 2020)

3

i10Index(all)

0

i10Index(since 2020)

0

Email

University Profile Page

Federal University of Technology, Akure

Google Scholar

View Google Scholar Profile

otasowie Owolafe (Iyare) Skills & Research Interests

Machine Learning

Cyber security

Top articles of otasowie Owolafe (Iyare)

Title

Journal

Author(s)

Publication Date

Audio Steganalysis Using Fractal Dimension and Convolutional Neural Network (CNN) Model

Alaba Joy Lawal

Otasowie Owolafe

Aderonke F Thompson

2024

Comparative Review of Credit Card Fraud Detection using Machine Learning and Concept Drift Techniques

Oluwadare Samuel Adebayo

Thompson Aderonke Favour-Bethy

Owolafe Otasowie

Orogun Adebola Okunola

2023

Dynamic Resilience in Credit Card Fraud Detection: The Adaptive Accuracy Weighted Ensemble Approach

Orogun Adebola Okunola

Oluwadare Samuel Adebayo

Thompson Aderonke Favour-Bethy

Owolafe Otasowie

2023

Rogue Access Detection Using Multi-Parameter Dynamic Features on WLAN

Otasowie Owolafe

Gbenga Moses Adediran

Olaniyi Abiodun Ayeni

2023

Erythemato Squamous Disease Prediction using Ensemble Multi-Feature Selection Approach

Int. J. Comput. Sci. Inf. Secur. IJCSIS

Efosa Charles Igodan

Aderonke Favour-Bethy Thompson

Olumide Obe

Otasowie Owolafe

2022/2

Tenant Harassment Prediction: Comparative Analysis of Different Machine Learning Classifiers

Otasowie Owolafe

Samuel A Adegbite

2022

Prediction of erythemato squamous-disease using ensemble learning framework

Explainable Artificial Intelligence in Medical Decision Support Systems

Efosa Charles Igodan

Olumide Olayinka Obe

Aderonke Favour-Bethy Thompson

Otasowie Owolafe

2022/12/5

Analysis of Crypto-Ransomware Using Network Traffic

Owolafe Otasowie

Aderonke F Thompson

2022/6/26

A Security System for Detecting Denial of Service (DDoS) and Masquerade Attacks on Social Networks

Journal of Information Security and Cybercrimes Research

Olaniyi Ayeni

O Owolafe

OP Ogunjobi

2022/6/1

A User Identity Management System for Cybercrime Control

Nigerian Journal of Technology

T Alese

O Owolafe

AF Thompson

BK Alese

2021/3/23

In detecting deception using Decision Tree and SVM across different cues

Nigerian Journal of Technology

O Owolafe

AO Ayeni

2021

A long short term memory model for credit card fraud detection

Otasowie Owolafe

Oluwaseun Bosede Ogunrinde

Aderonke Favour-Bethy Thompson

2021/6/1

Artificial intelligence for cyber security: methods, issues and possible horizons or opportunities

Sanjay Misra

Amit Kumar Tyagi

2021/5/31

AUDIO STEGANALYSIS METHOD BASED ON HIGUCHI FRACTIAL DIMENSION AND CONVOLUTIONAL NEURAL NETWORK (CNN)

Copyright Page

JA Lawal

AF Thompson

O Owolafe

2021/5

LP Model: A Panacea to Electricity Generation Cost

Otasowie Owolafe

Abidemi S Akindana

2020

Application of machine learning in deception detection

Owolafe Otasowie

2020

See List of Professors in otasowie Owolafe (Iyare) University(Federal University of Technology, Akure)

Co-Authors

H-index: 18
Kayode Alese

Kayode Alese

Federal University of Technology, Akure

H-index: 13
Iwasokun Gabriel Babatunde

Iwasokun Gabriel Babatunde

Federal University of Technology, Akure

H-index: 9
Falaki Samuel Oluwole

Falaki Samuel Oluwole

Afe Babalola University

H-index: 9
Emmanuel Ibidunmoye

Emmanuel Ibidunmoye

Umeå universitet

H-index: 7
Aderonke Favour-Bethy Thompson

Aderonke Favour-Bethy Thompson

Federal University of Technology, Akure

H-index: 3
AKINYOKUN Oluyomi Kolawole

AKINYOKUN Oluyomi Kolawole

Federal University of Technology, Akure

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