Laith Alzubaidi

About Laith Alzubaidi

Laith Alzubaidi, With an exceptional h-index of 21 and a recent h-index of 21 (since 2020), a distinguished researcher at Queensland University of Technology, specializes in the field of Trustworthy Artificial Intelligence, Machine learning, Deep Learning, Information Fusion.

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

Comprehensive Systematic Review of Information Fusion Methods in Smart Cities and Urban Environments

Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks

Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools

Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review

Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images

A Trustworthy and Explainable Framework for Benchmarking Hybrid Deep Learning Models Based on Chest X-Ray Analysis in CAD Systems

Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction

MEFF–A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging

Laith Alzubaidi Information

University

Position

___

Citations(all)

5009

Citations(since 2020)

4980

Cited By

261

hIndex(all)

21

hIndex(since 2020)

21

i10Index(all)

32

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Laith Alzubaidi Skills & Research Interests

Trustworthy Artificial Intelligence

Machine learning

Deep Learning

Information Fusion

Top articles of Laith Alzubaidi

Title

Journal

Author(s)

Publication Date

Comprehensive Systematic Review of Information Fusion Methods in Smart Cities and Urban Environments

Mohammed A Fadhel

Ali M Duhaim

Ahmed Saihood

Ahmed Sewify

Mokhaled NA Al-Hamadani

...

2024/2/21

Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks

Information Fusion

AS Albahri

Rula A Hamid

Ahmed Raheem Abdulnabi

OS Albahri

AH Alamoodi

...

2023/12/27

Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools

Multimedia Tools and Applications

Mohammed A Fadhel

Laith Alzubaidi

Yuantong Gu

Jose Santamaría

Ye Duan

2024/2/3

Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review

Mokhaled NA Al-Hamadani

Mohammed A Fadhel

Laith Alzubaidi

Harangi Balazs

2024/4/11

Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images

PLoS ONE

Laith Alzubaidi

Asma Salhi

Mohammed A. Fadhel

Jinshuai Bai

Freek Hollman

...

2024/3/11

A Trustworthy and Explainable Framework for Benchmarking Hybrid Deep Learning Models Based on Chest X-Ray Analysis in CAD Systems

International Journal of Information Technology and Decision Making

AS Albahri

Mustafa Mohammed Jassim

Laith Alzubaidi

Rula A Hamid

MA Ahmed

...

2024/3/7

Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction

Engineering Applications of Artificial Intelligence

Laith Alzubaidi

Hussein Khalefa Chlaib

Mohammed A Fadhel

Yubo Chen

Jinshuai Bai

...

2024/3/1

MEFF–A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging

Intelligent Systems with Applications

Laith Alzubaidi

AL–Dulaimi Khamael

Huda Abdul-Hussain Obeed

Ahmed Saihood

Mohammed A Fadhel

...

2024/6/1

Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression

Life

Fouad H Awad

Murtadha M Hamad

Laith Alzubaidi

2023/3/3

The suitability of color histogram-based features for keratoconus detection from corneal thickness with and neural networks.

Investigative Ophthalmology & Visual Science

Rossen M Hazarbassanov

Laith Al-Zubaidi

Zahraa M Mosa

Hazem Abdul Mutal

Alexandru Lavric

...

2023/6/1

Enhanced MIMO CSI Estimation Using ACCPM with Limited Feedback

Sensors

Ahmed Al-Asadi

Ibtesam RK Al-Saedi

Saddam K Alwane

Hongxiang Li

Laith Alzubaidi

2023/9/19

A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics

Computational Mechanics

Jinshuai Bai

Timon Rabczuk

Ashish Gupta

Laith Alzubaidi

Yuantong Gu

2023/3

A systematic review of using deep learning technology in the steady-state visually evoked potential-based brain-computer interface applications: current trends and future trust …

AS Albahri

ZT Al-Qaysi

Laith Alzubaidi

Alhamzah Alnoor

OS Albahri

...

2023/4/30

Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection

Computers

Sabah Abdulazeez Jebur

Khalid A Hussein

Haider Kadhim Hoomod

Laith Alzubaidi

2023/9/5

Intelligent emotion and sensory remote prioritisation for patients with multiple chronic diseases

Sensors

Abdullah Hussein Alamoodi

Osamah Shihab Albahri

AA Zaidan

Hassan A Alsattar

BB Zaidan

...

2023/2/7

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications

Journal of Big Data

Laith Alzubaidi

Jinshuai Bai

Aiman Al-Sabaawi

Jose Santamaría

Ahmed Shihab Albahri

...

2023/4/14

Deep Transfer Learning with Enhanced Feature Fusion for Detection of Abnormalities in X-ray Images

Cancers

Zaenab Alammar

Laith Alzubaidi

Jinglan Zhang

Yuefeng Li

Waail Lafta

...

2023/8/7

A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations

Zehui Zhao

Laith Alzubaidi

Jinglan Zhang

Ye Duan

Yuantong Gu

2023/12/2

A Deep Feature Fusion of Improved Suspected Keratoconus Detection with Deep Learning

Diagnostics

Ali H Al-Timemy

Laith Alzubaidi

Zahraa M Mosa

Hazem Abdelmotaal

Nebras H Ghaeb

...

2023/5/10

Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner

Sensors

Methaq A Shyaa

Zurinahni Zainol

Rosni Abdullah

Mohammed Anbar

Laith Alzubaidi

...

2023/4/4

See List of Professors in Laith Alzubaidi University(Queensland University of Technology)

Co-Authors

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