Taha Hussein Rassem, P.Tech, PhD, M.Tech, SMIEEE, MIET(UK), MBCS(UK)

Taha Hussein Rassem, P.Tech, PhD, M.Tech, SMIEEE, MIET(UK), MBCS(UK)

Universiti Malaysia Pahang

H-index: 16

Asia-Malaysia

About Taha Hussein Rassem, P.Tech, PhD, M.Tech, SMIEEE, MIET(UK), MBCS(UK)

Taha Hussein Rassem, P.Tech, PhD, M.Tech, SMIEEE, MIET(UK), MBCS(UK), With an exceptional h-index of 16 and a recent h-index of 15 (since 2020), a distinguished researcher at Universiti Malaysia Pahang, specializes in the field of Image processing, Computer Vision, Deep learning, Watermarking.

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

A dense memory representation using bitmap data structure for improving NDN push-traffic model

A Honeybee-Inspired Framework for a Smart City Free of Internet Scams

Efficient authentication scheme for 5G-enabled vehicular networks using fog computing

Early diagnosis of brain tumour mri images using hybrid techniques between deep and machine learning

Deep Learning and Machine Learning for Early Detection of Stroke and Haemorrhage

Eye Tracking-Based Diagnosis and Early Detection of Autism Spectrum Disorder Using Machine Learning and Deep Learning Techniques

Hybrid Kidney Inspired Strategy for Industry Combinatorial Interaction Testing Problem

Fraudulent account detection in the Ethereum’s network using various machine learning techniques

Taha Hussein Rassem, P.Tech, PhD, M.Tech, SMIEEE, MIET(UK), MBCS(UK) Information

University

Position

Senior Lecturer (Assistant Professor) at (UMP).

Citations(all)

1068

Citations(since 2020)

903

Cited By

447

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

23

i10Index(since 2020)

22

Email

University Profile Page

Universiti Malaysia Pahang

Google Scholar

View Google Scholar Profile

Taha Hussein Rassem, P.Tech, PhD, M.Tech, SMIEEE, MIET(UK), MBCS(UK) Skills & Research Interests

Image processing

Computer Vision

Deep learning

Watermarking

Top articles of Taha Hussein Rassem, P.Tech, PhD, M.Tech, SMIEEE, MIET(UK), MBCS(UK)

Title

Journal

Author(s)

Publication Date

A dense memory representation using bitmap data structure for improving NDN push-traffic model

Annals of Telecommunications

Amer Sallam

Noran Aklan

Norhan Aklan

Taha H Rassem

2024/2

A Honeybee-Inspired Framework for a Smart City Free of Internet Scams

Sensors

Abdulghani Ali Ahmed

Ali Al-Bayatti

Mubarak Saif

Waheb A Jabbar

Taha H Rassem

2023/4/26

Efficient authentication scheme for 5G-enabled vehicular networks using fog computing

Sensors

Zeyad Ghaleb Al-Mekhlafi

Mahmood A Al-Shareeda

Selvakumar Manickam

Badiea Abdulkarem Mohammed

Abdulrahman Alreshidi

...

2023/3/28

Early diagnosis of brain tumour mri images using hybrid techniques between deep and machine learning

Computational and mathematical methods in medicine

Ebrahim Mohammed Senan

Mukti E Jadhav

Taha H Rassem

Abdulaziz Salamah Aljaloud

Badiea Abdulkarem Mohammed

...

2022/5/18

Deep Learning and Machine Learning for Early Detection of Stroke and Haemorrhage

CMC-Computers, Materials & Continua

Zeyad Ghaleb Al-Mekhlafi

Ebrahim Mohammed Senan

Taha H. Rassem

Badiea Abdulkarem Mohammed

Nasrin M. Makbol

...

2022/2/24

Eye Tracking-Based Diagnosis and Early Detection of Autism Spectrum Disorder Using Machine Learning and Deep Learning Techniques

Electronics

I.A. Ahmed

E.M. Senan

T.H. Rassem

M.A.H. Ali

H.S.A. Shatnawi

...

2022/2

Hybrid Kidney Inspired Strategy for Industry Combinatorial Interaction Testing Problem

Arafat and Al-Aaidroos, Mohammed and Zamli, Kamal and Rassem, Taha H., Hybrid Kidney Inspired Strategy for Industry Combinatorial Interaction Testing Problem

AbdulRahman A ALsewari

Shadi S Basurra

Waheb Abdullah

Mohammed AH Ali

Mohammed Al-Aaidroos

...

2022

Fraudulent account detection in the Ethereum’s network using various machine learning techniques

International Journal of Software Engineering and Computer Systems

Amer Sallam

Taha Rassem

Hanadi Abdu

Haneen Abdulkareem

Nada Saif

...

2022/8/30

Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning

Electronics

Badiea Abdulkarem Mohammed

Ebrahim Mohammed Senan

Zeyad Ghaleb Al-Mekhlafi

Taha H Rassem

Nasrin M Makbol

...

2022/8/7

A novel inertia moment estimation algorithm collaborated with active force control scheme for wheeled mobile robot control in constrained environments

Expert Systems with Applications

Mohammed AH Ali

Muhammad SA Radzak

Musa Mailah

Nukman Yusoff

Bushroa Abd Razak

...

2021/11/30

A Review of Recent trends: text mining of taxonomy using WordNet 3.1 for the solution and problems of ambiguity in social media

Ali Muttaleb Hasan

Taha Hussein Rassem

Noorhuzaimi Mohd Noor

Ahmed Muttaleb Hasan

2021/11/18

A New Wavelet Completed Local Ternary Count (WCLTC) for Image Classification

Taha H. Rassem

Fatimah A. Alkareem

Mohammed Falah Mohammed

Nasrin M. Makbol

Amer Sallam

2021/11

Multi-Method Analysis of Medical Records and MRI Images for Early Diagnosis of Dementia and Alzheimer’s Disease Based on Deep Learning and Hybrid Methods

Electronics

Badiea Abdulkarem Mohammed

Ebrahim Mohammed Senan

Taha H Rassem

Nasrin M Makbol

Adwan Alownie Alanazi

...

2021/11/20

Improved Attentive Pairwise Interaction (API-Net) for Fine-Grained Image Classification

Ong Zu Yet

Taha H Rassem

Md Arafatur Rahman

MM Rahman

2021/12/21

Iris recognition system using convolutional neural network

Amer Sallam

Hadeel Al Amery

Somaia Al-Qudasi

Safaa Al-Ghorbani

Taha H Rassem

...

2021/8/24

Face Recognition using Laplacian Completed Local Ternary Pattern (LapCLTP)

Sam Yin Yee

Taha H Rassem

Mohammed Falah Mohammed

Suryanti Awang

2020

Alzheimer’s Diseases Detection by Using Deep Learning Algorithms: A Mini-Review

IEEE Access

Suhad Al-Shoukry

Taha H. Rassem

Nasrin M. Makbol

2020

Identifying the level of diabetic retinopathy using deep convolution neural network

Rahat Hassan

Md Arafatur Rahman

Ihsan Ullah

Ali Hamdan Alenezi

Taha H Rassem

2020/12/21

A new Feature-based Wavelet Completed Local Ternary Pattern (Feat-WCLTP) for Texture Image Classification

IEEE Access

O. N. A. Sayaydeh A. M. Shamaileh

T. H. Rassem

Siau Chuin Liew

2020/2/6

A new Fast Local Laplacian Completed Local Ternary Count (FLL-CLTC) for Facial Image Classification

IEEE Access

Khaled M Alalayah

Reyazur Rashid Irshad

Taha H Rassem

Badiea Abdulkarem Mohammed

2020/5/25

See List of Professors in Taha Hussein Rassem, P.Tech, PhD, M.Tech, SMIEEE, MIET(UK), MBCS(UK) University(Universiti Malaysia Pahang)

Co-Authors

H-index: 19
AbdulRahman A. AlSewari

AbdulRahman A. AlSewari

Universiti Malaysia Pahang

H-index: 17
Loukhaoukha Khaled

Loukhaoukha Khaled

Université Laval

H-index: 10
Luhur Bayuaji

Luhur Bayuaji

Universiti Malaysia Pahang

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