Olufunso Dayo ALOWOLODU

About Olufunso Dayo ALOWOLODU

Olufunso Dayo ALOWOLODU, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Federal University of Technology, Akure, specializes in the field of Network Security, Cloud Computing, Data science.

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

Deep hybrid neural net (DHN-Net) for minute-level day-ahead solar and wind power forecast in a decarbonized power system

A Review of Deep Learning Techniques for Network Intrusions Detection towards Efficient Model Developments

Performance Comparison of Machine Learning Algorithms Clinical Diagnoses of the Risk of Knee Osteoarthritis (KOA)

A Review on Distribution Model for Mobile Agent-Based Information Leakage Prevention

Cloud-based System for Agro-Extension Services towards Combating Food Insecurity in Africa

A Multi-Containerized Application using Docker Containers and Kubernetes Clusters

Development and assessment of renewable energy–integrated multigeneration system for rural communities in Nigeria: Case study

DECISION TREE LEARNING TECHNIQUE FOR MULTI-RELATIONAL CLASSIFICATION IN INFORMATION LEAKAGE PREVENTION SYSTEM

Olufunso Dayo ALOWOLODU Information

University

Position

ONDO STATE NIGERIA

Citations(all)

194

Citations(since 2020)

162

Cited By

58

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Federal University of Technology, Akure

Google Scholar

View Google Scholar Profile

Olufunso Dayo ALOWOLODU Skills & Research Interests

Network Security

Cloud Computing

Data science

Top articles of Olufunso Dayo ALOWOLODU

Title

Journal

Author(s)

Publication Date

Deep hybrid neural net (DHN-Net) for minute-level day-ahead solar and wind power forecast in a decarbonized power system

Energy Reports

Olusola Bamisile

Dongsheng Cai

Humphrey Adun

Chukwuebuka Ejiyi

Olufunso Alowolodu

...

2023/10/1

A Review of Deep Learning Techniques for Network Intrusions Detection towards Efficient Model Developments

Olufunso Dayo Alowolodu

Adebayo Olusola Adetunmbi

Jacob Olorunshogo Mebawondu

Olamatanmi Josephine Mebawondu

2022/4/5

Performance Comparison of Machine Learning Algorithms Clinical Diagnoses of the Risk of Knee Osteoarthritis (KOA)

AI

Domingos F Oliveira

Afonso S Nogueira

Miguel A Brito

2022/7/22

A Review on Distribution Model for Mobile Agent-Based Information Leakage Prevention

Alese Boniface Kayode

Alowolodu Olufunso Dayo

Adekunle Adewale Uthman

2021/5/21

Cloud-based System for Agro-Extension Services towards Combating Food Insecurity in Africa

Communications on Applied Electronics

Olufunso Dayo Alowolodu

Arome Junior Gabriel

2021

A Multi-Containerized Application using Docker Containers and Kubernetes Clusters

International Journal of Computer Applications

Alowolodu Olufunso Dayo

2021/12

Development and assessment of renewable energy–integrated multigeneration system for rural communities in Nigeria: Case study

Journal of Energy Engineering

Olusola Bamisile

Qi Huang

Mustafa Dagbasi

Olufunso Alowolodu

Ndifreke Williams

2020/6/1

DECISION TREE LEARNING TECHNIQUE FOR MULTI-RELATIONAL CLASSIFICATION IN INFORMATION LEAKAGE PREVENTION SYSTEM

Alese Boniface Kayode

Adewale Olumide Sunday

Alowolodu Olufunso Dayo

Adekunle Adewale Uthman

Makinde Akindeji Ibrahim

2020

Scientific African

Eric O Odada

Daniel O Olago

Lydia A Olaka

2020

Optimizing the classification of network intrusion detection using ensembles of decision trees algorithm

Information and Communication Technology and Applications: Third International Conference, ICTA 2020, Minna, Nigeria, November 24–27, 2020, Revised Selected Papers

Adebayo O Adetunmbi

Jacob O Mebawondu

2021/2/13

Feature Weighting and Classification Modeling for Network Intrusion Detection Using Machine Learning Algorithms

Olamatanmi J Mebawondu

Adebayo O Adetunmbi

Jacob O Mebawondu

Olufunso D Alowolodu

2020/11/24

Network intrusion detection system using supervised learning paradigm

Scientific African

J Olamantanmi Mebawondu

Olufunso D Alowolodu

Jacob O Mebawondu

Adebayo O Adetunmbi

2020/9/1

See List of Professors in Olufunso Dayo ALOWOLODU University(Federal University of Technology, Akure)

Co-Authors

H-index: 19
Adetunmbi, Adebayo Olusola

Adetunmbi, Adebayo Olusola

Federal University of Technology, Akure

H-index: 18
Kayode Alese

Kayode Alese

Federal University of Technology, Akure

H-index: 7
Aderonke Favour-Bethy Thompson

Aderonke Favour-Bethy Thompson

Federal University of Technology, Akure

H-index: 7
Bamidele Moses Kuboye

Bamidele Moses Kuboye

Federal University of Technology, Akure

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