Laith Alzubaidi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 49

Top Topics

Medical Imaging

Top Venues

Publications

Laith Alzubaidi, Hussein Khalefa Chlaib, Mohammed A. Fadhel, Yubo Chen, Jinshuai Bai, Ahmed Shihab Albahri, Yuantong Gu
Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction. Eng. Appl. Artif. Intell. 129 (2024)
Mokhaled N. A. Al-Hamadani, Mohammed A. Fadhel, Laith Alzubaidi, Balázs Harangi
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review. Sensors 24 (8) (2024)
Muthana Al-Amidie, Laith Alzubaidi, Muhammad Aminul Islam, Derek T. Anderson
Enhancing Sensor Data Imputation: OWA-Based Model Aggregation for Missing Values. Future Internet 16 (6) (2024)
Ahmed Shihab Albahri, Rula A. Hamid, Ahmed Raheem Abdulnabi, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Muhammet Deveci, Witold Pedrycz, Laith Alzubaidi, José Santamaría, Yuantong Gu
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks. Inf. Fusion 105 (2024)
Zhipeng He, Chun Ouyang, Laith Alzubaidi, Alistair Barros, Catarina Moreira
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis. CoRR (2024)
Mohammed A. Fadhel, Ali M. Duhaim, Ahmed Shihab Albahri, Z. T. Al-qaysi, Mohamed Aktham Ahmed, M. A. Chyad, Wael Abd-Alaziz, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Laith Alzubaidi, Ashish Gupta, Yuantong Gu
Navigating the metaverse: unraveling the impact of artificial intelligence - a comprehensive review and gap analysis. Artif. Intell. Rev. 57 (9) (2024)
Laith Alzubaidi, Khamael Al-Dulaimi, Huda Abdul-Hussain Obeed, Ahmed Saihood, Mohammed A. Fadhel, Sabah Abdulazeez Jebur, Yubo Chen, Ahmed Shihab Albahri, José Santamaría, Ashish Gupta, Yuantong Gu
MEFF - A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging. Intell. Syst. Appl. 22 (2024)
Mohammed A. Fadhel, Ali M. Duhaim, Ahmed Saihood, Ahmed Sewify, Mokhaled N. A. Al-Hamadani, Ahmed Shihab Albahri, Laith Alzubaidi, Ashish Gupta, Sayedali Mirjalili, Yuantong Gu
Comprehensive systematic review of information fusion methods in smart cities and urban environments. Inf. Fusion 107 (2024)
Mohammed A. Fadhel, Laith Alzubaidi, Yuantong Gu, José Santamaría, Ye Duan
Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools. Multim. Tools Appl. 83 (27) (2024)
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, Ye Duan, Yuantong Gu
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations. Expert Syst. Appl. 242 (2024)
Ahmed Saihood, Mustafa Asaad Hasan, Shafaa mahmood shnawa, Mohammed A. Fadhel, Laith Alzubaidi, Ashish Gupta, Yuantong Gu
Multiside graph neural network-based attention for local co-occurrence features fusion in lung nodule classification. Expert Syst. Appl. 252 (2024)
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, Ye Duan, Usman Naseem, Yuantong Gu
An Experimental Comparison of Transfer Learning against Self-supervised Learning. CoRR (2024)
Methaq A. Shyaa, Noor Farizah Ibrahim, Zurinahni Zainol, Rosni Abdullah, Mohammed Anbar, Laith Alzubaidi
Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems. Eng. Appl. Artif. Intell. 137 (2024)
Zaenab Alammar, Laith Alzubaidi, Jinglan Zhang, Yuefeng Li, Ashish Gupta, Yuantong Gu
Generalisable deep Learning framework to overcome catastrophic forgetting. Intell. Syst. Appl. 23 (2024)
Laith Alzubaidi, Khamael Al-Dulaimi, Asma Salhi, Zaenab Alammar, Mohammed A. Fadhel, Ahmed Shihab Albahri, Abdullah Hussein Alamoodi, Osamah Shihab Albahri, Amjad F. Hasan, Jinshuai Bai, Luke Gilliland, Jing Peng, Marco Branni, Tristan Shuker, Kenneth Cutbush, José Santamaría, Catarina Moreira, Chun Ouyang, Ye Duan, Mohamed Manoufali, Mohammad Jomaa, Ashish Gupta, Amin M. Abbosh, Yuantong Gu
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion. Artif. Intell. Medicine 155 (2024)
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, Ye Duan, Usman Naseem, Yuantong Gu
Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging. CoRR (2024)
Laith Alzubaidi, Mohammed A. Fadhel, Freek Hollman, Asma Salhi, José Santamaría, Ye Duan, Ashish Gupta, Kenneth Cutbush, Amin M. Abbosh, Yuantong Gu
SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study. Artif. Intell. Rev. 57 (9) (2024)
Ahmed Shihab Albahri, Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, Reem D. Ismael, Qabas A. Hameed, Muhammet Deveci, Raad Z. Homod, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Laith Alzubaidi
A systematic review of trustworthy artificial intelligence applications in natural disasters. Comput. Electr. Eng. 118 (2024)
Ahmed Al-Asadi, Ibtesam R. K. Al-Saedi, Saddam K. Alwane, Hongxiang Li, Laith Alzubaidi
Enhanced MIMO CSI Estimation Using ACCPM with Limited Feedback. Sensors 23 (18) (2023)
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, José Santamaría, Ahmed Shihab Albahri, Bashar Sami Nayyef Al-dabbagh, Mohammed A. Fadhel, Mohamed Manoufali, Jinglan Zhang, Ali H. Al-Timemy, Ye Duan, Amjed Abdullah, Laith Farhan, Yi Lu, Ashish Gupta, Felix Albu, Amin M. Abbosh, Yuantong Gu
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. J. Big Data 10 (1) (2023)
Methaq A. Shyaa, Zurinahni Zainol, Rosni Abdullah, Mohammed Anbar, Laith Alzubaidi, José Santamaría
Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner. Sensors 23 (7) (2023)
Laith Alzubaidi, Mohammed A. Fadhel, Ahmed Shihab Albahri, Asma Salhi, Ashish Gupta, YounTong Gu
Domain Adaptation and Feature Fusion for the Detection of Abnormalities in X-Ray Forearm Images. EMBC (2023)
Sabah Abdulazeez Jebur, Khalid A. Hussein, Haider K. Hoomod, Laith Alzubaidi
Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection. Comput. 12 (9) (2023)
Laith Alzubaidi, Aiman Al-Sabaawi, Jinshuai Bai, Ammar Dukhan, Ahmed H. Alkenani, Ahmed Al-Asadi, Haider A. Alwzwazy, Mohamed Manoufali, Mohammed A. Fadhel, Ahmed Shihab Albahri, Catarina Moreira, Chun Ouyang, Jinglan Zhang, José Santamaría, Asma Salhi, Freek Hollman, Ashish Gupta, Ye Duan, Timon Rabczuk, Amin M. Abbosh, Yuantong Gu
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements. Int. J. Intell. Syst. 2023 (2023)
Ahmed Shihab Albahri, Ali Mohammed, Mohammed A. Fadhel, Alhamzah Alnoor, Noor S. Baqer, Laith Alzubaidi, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Jinshuai Bai, Asma Salhi, José Santamaría, Chun Ouyang, Ashish Gupta, Yuantong Gu, Muhammet Deveci
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion. Inf. Fusion 96 (2023)
Abdullah Hussein Alamoodi, Osamah Shihab Albahri, A. A. Zaidan, Hassan A. Alsattar, B. B. Zaidan, Ahmed Shihab Albahri, Amelia Ritahani Ismail, Gang Kou, Laith Alzubaidi, Mohammed Talal
Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases. Sensors 23 (4) (2023)
Jinshuai Bai, Gui-Rong Liu, Ashish Gupta, Laith Alzubaidi, Xi-Qiao Feng, Yuantong Gu
Physics-informed radial basis network (PIRBN): A local approximation neural network for solving nonlinear PDEs. CoRR (2023)
Jinshuai Bai, Hyogu Jeong, C. P. Batuwatta-Gamage, Shusheng Xiao, Qingxia Wang, C. M. Rathnayaka, Laith Alzubaidi, Gui-Rong Liu, Yuantong Gu
An introduction to programming Physics-Informed Neural Network-based computational solid mechanics. CoRR (2022)
Jinshuai Bai, Laith Alzubaidi, Qingxia Wang, Ellen Kuhl, Mohammed Bennamoun, Yuantong Gu
Physics-guided deep learning for data scarcity. CoRR (2022)
Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang, José Santamaría, Ye Duan
Robust application of new deep learning tools: an experimental study in medical imaging. Multim. Tools Appl. 81 (10) (2022)
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Q. Al-Dujaili, Ye Duan, Omran Al-Shamma, José Santamaría, Mohammed A. Fadhel, Muthana Al-Amidie, Laith Farhan
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. J. Big Data 8 (1) (2021)
Laith Alzubaidi, Ye Duan, Ayad Q. Al-Dujaili, Ibraheem Kasim Ibraheem, Ahmed H. Alkenani, José Santamaría, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang
Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study. PeerJ Comput. Sci. 7 (2021)
Laith Alzubaidi, José Santamaría, Mohamed Manoufali, Beadaa J. Mohammed, Mohammed A. Fadhel, Jinglan Zhang, Ali H. Al-Timemy, Omran Al-Shamma, Ye Duan
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks. CoRR (2021)
Laith Farhan, Rasha Subhi Hameed, Asraa Safaa Ahmed, Ali Hussein Fadel, Waled Gheth, Laith Alzubaidi, Mohammed A. Fadhel, Muthana Al-Amidie
Energy Efficiency for Green Internet of Things (IoT) Networks: A Survey. Network 1 (3) (2021)
Laith Alzubaidi, Mohammed A. Fadhel, Sameer Razzaq Oleiwi, Omran Al-Shamma, Jinglan Zhang
DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network. Multim. Tools Appl. 79 (21-22) (2020)
Aiman Al-Sabaawi, Hassan M. Ibrahim, Zinah Mohsin Arkah, Muthana Al-Amidie, Laith Alzubaidi
Amended Convolutional Neural Network with Global Average Pooling for Image Classification. ISDA (2020)
Aiman Al-Sabaawi, Reem Ibrahim Hasan, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi
Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study. ISDA (2020)
Omran Al-Shamma, Mohammed A. Fadhel, Laith Alzubaidi, Laith Farhan, Muthana Al-Amidie
Diagnosing Coronavirus (COVID-19) Using Various Deep Learning Models: A Comparative Study. ISDA (2020)
Laith Alzubaidi, Reem Ibrahim Hasan, Fouad H. Awad, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang
Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture. DeSE (2019)
Laith Farhan, Omprakash Kaiwartya, Laith Alzubaidi, Waled Gheth, Eric Dimla, Rupak Kharel
Toward Interference Aware IoT Framework: Energy and Geo-Location-Based-Modeling. IEEE Access 7 (2019)
Omran Al-Shamma, Fouad H. Awad, Laith Alzubaidi, Mohammed A. Fadhel, Zinah Mohsin Arkah, Laith Farhan
Employment of Multi-classifier and Multi-domain Features for PCG Recognition. DeSE (2019)
Laith Alzubaidi, Omran Al-Shamma, Mohammed A. Fadhel, Zinah Mohsin Arkah, Fouad H. Awad
A Deep Convolutional Neural Network Model for Multi-class Fruits Classification. ISDA (2019)
Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi
Hardware Accelerator for Real-Time Holographic Projector. ISDA (2019)
Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi
Solving Lorenz ODE System Based Hardware Booster. ISDA (2019)
Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang
Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood. ISDA (1) (2018)
Omran Al-Shamma, Mohammed Abdulraheem Fadhel, Rabab Alaa Hameed, Laith Alzubaidi, Jinglan Zhang
Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator. ISDA (1) (2018)
Laith Alzubaidi, Omran Al-Shamma, Mohammed A. Fadhel, Laith Farhan, Jinglan Zhang
Classification of Red Blood Cells in Sickle Cell Anemia Using Deep Convolutional Neural Network. ISDA (1) (2018)
Mohammed Abdulraheem Fadhel, Omran Al-Shamma, Sameer Razzaq Oleiwi, Bahaa Hussein Taher, Laith Alzubaidi
Real-Time PCG Diagnosis Using FPGA. ISDA (1) (2018)
Zinah Mohsin Arkah, Laith Alzubaidi, Ammar A. Ali, Ahmed Talib Abdulameer
Digital Color Documents Authentication Using QR Code Based on Digital Watermarking. ISDA (1) (2018)