Abdulkerim Mohammed Yibre (PhD)

Abdulkerim Mohammed Yibre (PhD)

Selçuk Üniversitesi

H-index: 5

Asia-Turkey

About Abdulkerim Mohammed Yibre (PhD)

Abdulkerim Mohammed Yibre (PhD), With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Selçuk Üniversitesi, specializes in the field of Machine Learning, Data Mining, Swarm Intelligence, Nature Inspired optimization, Artificial.

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

Wind Power Forecasting Model Using Deep Learning Approach

Hybrid of Ensemble Machine Learning and Nature-Inspired Algorithms for Divorce Prediction

Development of an Explainable Heart Failure Patients Survival Status Prediction Model Using Machine Learning Algorithms

Ge’ez Syntax Error Detection Using Deep Learning Approaches

Geez Part of Speech Tagging Using Deep Learning Approaches

Artificial Intelligence and Digitalization for Sustainable Development: 10th EAI International Conference, ICAST 2022, Bahir Dar, Ethiopia, November 4-6, 2022, Proceedings

Visual Acuity Classification Using Ensemble Machine Learning Algorithms: With Explainable Approach

Semen quality predictive model using feed forwarded neural network trained by learning-based artificial algae algorithm

Abdulkerim Mohammed Yibre (PhD) Information

University

Position

Doctoral student

Citations(all)

59

Citations(since 2020)

56

Cited By

28

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Selçuk Üniversitesi

Google Scholar

View Google Scholar Profile

Abdulkerim Mohammed Yibre (PhD) Skills & Research Interests

Machine Learning

Data Mining

Swarm Intelligence

Nature Inspired optimization

Artificial

Top articles of Abdulkerim Mohammed Yibre (PhD)

Title

Journal

Author(s)

Publication Date

Wind Power Forecasting Model Using Deep Learning Approach

Abdulkerim Mohammed Yibre

Seblewongale Mezgebu Ayene

2023/10/26

Hybrid of Ensemble Machine Learning and Nature-Inspired Algorithms for Divorce Prediction

Kalkidan A Sahle

Abdulkerim M Yibre

2023/10/5

Development of an Explainable Heart Failure Patients Survival Status Prediction Model Using Machine Learning Algorithms

Betimihirt Getnet Tsehay Demis

Abdulkerim M Yibre

2023/10/5

Ge’ez Syntax Error Detection Using Deep Learning Approaches

Habtamu Shiferaw Asmare

Abdulkerim Mohammed Yibre

2023/10/5

Geez Part of Speech Tagging Using Deep Learning Approaches

Habtamu Shiferaw Asmare

Abdulkerim Mohammed Yibre

2023/10/26

Artificial Intelligence and Digitalization for Sustainable Development: 10th EAI International Conference, ICAST 2022, Bahir Dar, Ethiopia, November 4-6, 2022, Proceedings

Bereket H Woldegiorgis

Kibret Mequanint

Mekuanint A Bitew

Teketay B Beza

Abdulkerim M Yibre

2023/3/18

Visual Acuity Classification Using Ensemble Machine Learning Algorithms: With Explainable Approach

Rediet Yimenu Ephrem

Abdulkerim Mohammed Yibre

2023/10/26

Semen quality predictive model using feed forwarded neural network trained by learning-based artificial algae algorithm

Engineering Science and Technology, an International Journal

Abdulkerim M Yibre

Barış Koçer

2021/4/1

Weight optimization of hybrid composite laminate using learning-oriented artificial algae algorithm

SN Applied Sciences

Abdulkerim Mohammed Yibre

Barış Koçer

Esmael Adem Esleman

Gürol Önal

2020/8

Improving artificial algae algorithm performance by predicting candidate solution quality

Expert Systems with Applications

Abdulkerim Mohammed Yibre

Barış Koçer

2020/7/15

See List of Professors in Abdulkerim Mohammed Yibre (PhD) University(Selçuk Üniversitesi)