taha rassem

Lecturer

De Montfort University

United Kingdom

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Dr. Taha Rassem is a Lecturer at De Montfort University in the UK. His research encompasses advanced data modeling, intelligent systems, and medical image analysis, as evidenced by his recent articles focusing on predictive accuracy, smart city frameworks, and deep learning techniques for early diagnosis of neurological conditions. His work contributes significantly to the fields of data science and healthcare technology.

Articles (11)

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (8)

Mohammad Alsaffar

SAUDI ARABIA

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Ali H. Al-Bayatti

Associate Professor/Subject Group Leader

De Montfort University

UNITED KINGDOM

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Badiea Abdulkarem Mohammed

SAUDI ARABIA

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Khaled M. Alalayah

SAUDI ARABIA

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Waheb A. Jabbar

Associate Professor

Birmingham City University

UNITED KINGDOM

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Jalawi Alshudukhi

SAUDI ARABIA

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Abdulghani Ali Ahmed

Senior Lecturer

De Montfort University

UNITED KINGDOM

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Zeyad Ghaleb Al-Mekhlafi

SAUDI ARABIA

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taha rassem

Research Interests

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About

Articles (11)

Comparative Analysis of Imputation Methods for Enhancing Predictive Accuracy in Data Models

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

Multi-Method Diagnosis of CT Images for Rapid Detection of Intracranial Hemorrhages Based on Deep and Hybrid Learning

Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning

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

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

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

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

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

Collaborators (8)

Mohammad Alsaffar

Ali H. Al-Bayatti

Badiea Abdulkarem Mohammed

Khaled M. Alalayah

Waheb A. Jabbar

Jalawi Alshudukhi

Abdulghani Ali Ahmed

Zeyad Ghaleb Al-Mekhlafi

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