Mutiu Adesina Adegboye

About Mutiu Adesina Adegboye

Mutiu Adesina Adegboye, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at Federal University, Oye-Ekiti, specializes in the field of Embedded System, Computer Vision, Signal Processing, Artificial Intelligence, Surrogate Modeling.

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

Pollution sources identification, health, and radiological risk assessment of naturally occurring radioisotopes and heavy metals in waste dumpsites in Ijebu-Ode, Ogun State …

Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation.

Pipeline Leakage Detection and Characterisation with Adaptive Surrogate Modelling Using Particle Swarm Optimisation

Distributed network-based structural health monitoring expert system

Simple deterministic selection-based genetic algorithm for hyperparameter tuning of machine learning models

Machine learning methods for sign language recognition: A critical review and analysis

Numerical study of pipeline leak detection for gas-liquid stratified flow

Modeling and implementation of smart home and self-control window using FPGA and Petri net

Mutiu Adesina Adegboye Information

University

Position

Department of Computer Engineering

Citations(all)

776

Citations(since 2020)

742

Cited By

182

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Mutiu Adesina Adegboye Skills & Research Interests

Embedded System

Computer Vision

Signal Processing

Artificial Intelligence

Surrogate Modeling

Top articles of Mutiu Adesina Adegboye

Pollution sources identification, health, and radiological risk assessment of naturally occurring radioisotopes and heavy metals in waste dumpsites in Ijebu-Ode, Ogun State …

Environmental Forensics

2023/11/2

Adaptive swarm optimisation assisted surrogate model for pipeline leak detection and characterisation.

2023/2/28

Mutiu Adesina Adegboye
Mutiu Adesina Adegboye

H-Index: 7

Pipeline Leakage Detection and Characterisation with Adaptive Surrogate Modelling Using Particle Swarm Optimisation

2022/11

Mutiu Adesina Adegboye
Mutiu Adesina Adegboye

H-Index: 7

Distributed network-based structural health monitoring expert system

Building Research & Information

2021/1/2

Simple deterministic selection-based genetic algorithm for hyperparameter tuning of machine learning models

Applied Sciences

2022/1/24

Habeeb Bello-Salau
Habeeb Bello-Salau

H-Index: 8

Mutiu Adesina Adegboye
Mutiu Adesina Adegboye

H-Index: 7

Machine learning methods for sign language recognition: A critical review and analysis

2021/11/1

Ibrahim Adepoju Adeyanju
Ibrahim Adepoju Adeyanju

H-Index: 7

Mutiu Adesina Adegboye
Mutiu Adesina Adegboye

H-Index: 7

Numerical study of pipeline leak detection for gas-liquid stratified flow

Journal of Natural Gas Science and Engineering

2021/6/8

Mutiu Adesina Adegboye
Mutiu Adesina Adegboye

H-Index: 7

Modeling and implementation of smart home and self-control window using FPGA and Petri net

2020/9

Mutiu Adesina Adegboye
Mutiu Adesina Adegboye

H-Index: 7

Suitable Propagation Models for 2.4 GHz Wireless Networks: Case Study of Gidan Kwano Campus, FUT MINNA

2020/6/30

Incorporating intelligence in fish feeding system for dispensing feed based on fish feeding intensity

IEEE Access

2020/5/14

Incorporating recognition in catfish counting algorithm using artificial neural network and geometry

KSII Transactions on Internet & Information Systems

2020/12/1

Ibrahim Aliyu
Ibrahim Aliyu

H-Index: 1

Mutiu Adesina Adegboye
Mutiu Adesina Adegboye

H-Index: 7

See List of Professors in Mutiu Adesina Adegboye University(Federal University, Oye-Ekiti)

Co-Authors

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