Ayman Taha

Cairo University

H-index: 9

Africa-Egypt

About Ayman Taha

Ayman Taha, With an exceptional h-index of 9 and a recent h-index of 7 (since 2020), a distinguished researcher at Cairo University, specializes in the field of Data Mining, Spatial computing, Data analytics, Categorical Data Analysis.

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

A Multiple Association-Based Unsupervised Feature Selection Algorithm for Mixed Data Sets

Using feature selection with machine learning for generation of insurance insights

Using Satellite Images Datasets for Road Intersection Detection in Route Planning

An Approach for Cross-Modality Guided Quality Enhancement of Liver Image

A Framework for Cross-Modality Guided Contrast Enhancement of CT Liver Using MRI.

A systematic review of urban navigation systems for visually impaired people

Insurance reserve prediction: Opportunities and challenges

Road Network Simplification For Location-Based Services

Ayman Taha Information

University	Cairo University
Position	Marie Skłodowska-Curie Career-FIT Postdoc Fellow- TUD; Assistant Professor
Citations(all)	363
Citations(since 2020)	340
Cited By	100
hIndex(all)	9
hIndex(since 2020)	7
i10Index(all)	8
i10Index(since 2020)	7
Email	Access Email
University Profile Page	Cairo University
Google Scholar	View Google Scholar Profile

Ayman Taha Skills & Research Interests

Data Mining

Spatial computing

Data analytics

Categorical Data Analysis

Top articles of Ayman Taha

Title	Journal	Author(s)	Publication Date
A Multiple Association-Based Unsupervised Feature Selection Algorithm for Mixed Data Sets	Expert Systems With Applications	Ayman Taha Ali S Hadi Bernard Cosgrave Susan McKeever	2023
Using feature selection with machine learning for generation of insurance insights	Applied Sciences	Ayman Taha Bernard Cosgrave Susan Mckeever	2022/3/21
Using Satellite Images Datasets for Road Intersection Detection in Route Planning		Fatmaelzahraa Eltaher Ayman Taha Jane Courtney Susan Mckeever	2022
An Approach for Cross-Modality Guided Quality Enhancement of Liver Image	International Journal of Electrical and Computer Engineering (IJECE)	Ahmed Elaraby Ayman Taha	2022
A Framework for Cross-Modality Guided Contrast Enhancement of CT Liver Using MRI.	Traitement du Signal	Ahmed Elaraby Ayman Taha	2021/12/1
A systematic review of urban navigation systems for visually impaired people		Fatma El-Zahraa El-Taher Ayman Taha Jane Courtney Susan Mckeever	2021/4/29
Insurance reserve prediction: Opportunities and challenges		Ayman Taha Bernard Cosgrave Wael Rashwan Susan McKeever	2021/12/15
Road Network Simplification For Location-Based Services	GeoInformatica	Abdeltawab Hendawi John A Stankovic Ayman Taha Shaker El-Sappagh Amr A Ahmadain ...	2020/10