Oluwasegun Somefun

About Oluwasegun Somefun

Oluwasegun Somefun, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Federal University of Technology, Akure, specializes in the field of Control, Signal Processing, Optimization, Deep Learning, AI.

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

AUTOSGM: A Unified Lowpass Regularization Framework for Accelerated Learning

Uniformly Damped Binomial Filters: Five-percent Maximum Overshoot Optimal Response Design

NLSIG-COVID19Lab: A modern logistic-growth tool (nlogistic-sigmoid) for descriptively modelling the dynamics of the COVID-19 pandemic process

The dilemma of PID tuning

Compression Techniques of Electrical Energy Data for Load Monitoring: A Review

DESIGN OF TWO DEGREE-OF-FREEDOM (2DOF)–PID TUNING ALGORITHMS FOR THE DIFFERENTIAL DRIVE MOBILE ROBOT USING A SINGULAR SPECIFICATION OF SETTLING-TIME

DESIGN OF 2DOF-PID TUNING ALGORITHMS FOR THE DIFFERENTIAL DRIVE MOBILE ROBOT USING A SINGULAR SPECIFICATION OF SETTLING-TIME

Speed Control of DC Motors: Optimal Closed PID-Loop Model Predictive Control

Oluwasegun Somefun Information

University

Position

Department of Computer Engineering

Citations(all)

120

Citations(since 2020)

114

Cited By

13

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Federal University of Technology, Akure

Google Scholar

View Google Scholar Profile

Oluwasegun Somefun Skills & Research Interests

Control

Signal Processing

Optimization

Deep Learning

AI

Top articles of Oluwasegun Somefun

Title

Journal

Author(s)

Publication Date

AUTOSGM: A Unified Lowpass Regularization Framework for Accelerated Learning

Oluwasegun A Somefun

Stefan Lee

V John Mathews

2024/4/14

Uniformly Damped Binomial Filters: Five-percent Maximum Overshoot Optimal Response Design

Circuits, Systems, and Signal Processing

Oluwasegun Somefun

Kayode Akingbade

Folasade Dahunsi

2022/6

NLSIG-COVID19Lab: A modern logistic-growth tool (nlogistic-sigmoid) for descriptively modelling the dynamics of the COVID-19 pandemic process

Journal of Open Source Software

Oluwasegun A Somefun

Kayode F Akingbade

Folasade M Dahunsi

2021/4/6

The dilemma of PID tuning

Oluwasegun Ayokunle Somefun

Kayode Akingbade

Folasade Dahunsi

2021/1/1

Compression Techniques of Electrical Energy Data for Load Monitoring: A Review

FM Dahunsi

OA Somefun

AA Ponnle

KB Adedeji

2021/11/5

DESIGN OF TWO DEGREE-OF-FREEDOM (2DOF)–PID TUNING ALGORITHMS FOR THE DIFFERENTIAL DRIVE MOBILE ROBOT USING A SINGULAR SPECIFICATION OF SETTLING-TIME

OLUWASEGUN AYOKUNLE SOMEFUN

2020/3

DESIGN OF 2DOF-PID TUNING ALGORITHMS FOR THE DIFFERENTIAL DRIVE MOBILE ROBOT USING A SINGULAR SPECIFICATION OF SETTLING-TIME

OLUWASEGUN AYOKUNLE SOMEFUN

2020/3

Speed Control of DC Motors: Optimal Closed PID-Loop Model Predictive Control

Universal Journal of Control and Automation

Oluwasegun Somefun

Kayode Akingbade

Folasade Dahunsi

2020

The nlogistic-sigmoid function

Oluwasegun A Somefun

Kayode Akingbade

Folasade Dahunsi

2020/9/27

Fault Detection and Classification of a Single Phase Inverter using Artificial Neural Networks

Ayomikun Samuel Orukotan

2020

From the logistic-sigmoid to nlogistic-sigmoid: modelling the COVID-19 pandemic growth

arXiv preprint arXiv:2008.04210

Oluwasegun A Somefun

Kayode Akingbade

Folasade Dahunsi

2020/8/6

" Closed Proportional-Integral-Derivative-Loop Model" Following Control

arXiv preprint arXiv:2006.00314

Oluwasegun Ayokunle Somefun

Kayode Akingbade

Folasade Dahunsi

2020/5/30

See List of Professors in Oluwasegun Somefun University(Federal University of Technology, Akure)

Co-Authors

H-index: 11
Oluwole John Famoriji

Oluwole John Famoriji

Afe Babalola University

H-index: 9
Folasade M. Dahunsi

Folasade M. Dahunsi

Federal University of Technology, Akure

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