Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator. - Omran Al-Shamma; Mohammed Abdulraheem Fadhel; Rabab Alaa Hameed; Laith Alzubaidi; Jinglan Zhang (ISDA (1), 2018)

Classification of Red Blood Cells in Sickle Cell Anemia Using Deep Convolutional Neural Network. - Laith Alzubaidi; Omran Al-Shamma; Mohammed A. Fadhel; Laith Farhan; Jinglan Zhang (ISDA (1), 2018)

Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood. - Laith Alzubaidi; Mohammed A. Fadhel; Omran Al-Shamma; Jinglan Zhang (ISDA (1), 2018)

Digital Color Documents Authentication Using QR Code Based on Digital Watermarking. - Zinah Mohsin Arkah; Laith Alzubaidi; Ammar A. Ali; Ahmed Talib Abdulameer (ISDA (1), 2018)

Real-Time PCG Diagnosis Using FPGA. - Mohammed Abdulraheem Fadhel; Omran Al-Shamma; Sameer Razzaq Oleiwi; Bahaa Hussein Taher; Laith Alzubaidi (ISDA (1), 2018)

Employment of Multi-classifier and Multi-domain Features for PCG Recognition. - Omran Al-Shamma; Fouad H. Awad; Laith Alzubaidi; Mohammed A. Fadhel; Zinah Mohsin Arkah; Laith Farhan (DeSE, 2019)

Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture. - Laith Alzubaidi; Reem Ibrahim Hasan; Fouad H. Awad; Mohammed A. Fadhel; Omran Al-Shamma; Jinglan Zhang (DeSE, 2019)

Solving Lorenz ODE System Based Hardware Booster. - Hassan Al-Yassin; Mohammed A. Fadhel; Omran Al-Shamma; Laith Alzubaidi (ISDA, 2019)

A Deep Convolutional Neural Network Model for Multi-class Fruits Classification. - Laith Alzubaidi; Omran Al-Shamma; Mohammed A. Fadhel; Zinah Mohsin Arkah; Fouad H. Awad (ISDA, 2019)

Hardware Accelerator for Real-Time Holographic Projector. - Mohammed A. Fadhel; Omran Al-Shamma; Laith Alzubaidi (ISDA, 2019)

Toward Interference Aware IoT Framework: Energy and Geo-Location-Based-Modeling. - Laith Farhan; Omprakash Kaiwartya; Laith Alzubaidi; Waled Gheth; Eric Dimla; Rupak Kharel (IEEE Access, 2019)

Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study. - Aiman Al-Sabaawi; Reem Ibrahim Hasan; Mohammed A. Fadhel; Omran Al-Shamma; Laith Alzubaidi (ISDA, 2020)

Amended Convolutional Neural Network with Global Average Pooling for Image Classification. - Aiman Al-Sabaawi; Hassan M. Ibrahim; Zinah Mohsin Arkah; Muthana Al-Amidie; Laith Alzubaidi (ISDA, 2020)

Diagnosing Coronavirus (COVID-19) Using Various Deep Learning Models: A Comparative Study. - Omran Al-Shamma; Mohammed A. Fadhel; Laith Alzubaidi; Laith Farhan; Muthana Al-Amidie (ISDA, 2020)

DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network. - Laith Alzubaidi; Mohammed A. Fadhel; Sameer Razzaq Oleiwi; Omran Al-Shamma; Jinglan Zhang (Multim. Tools Appl., 2020)

MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks. - Laith Alzubaidi; José Santamaría; Mohamed Manoufali; Beadaa J. Mohammed; Mohammed A. Fadhel; Jinglan Zhang; Ali H. Al-Timemy; Omran Al-Shamma; Ye Duan (CoRR, 2021)

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. - 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 (J. Big Data, 2021)

Energy Efficiency for Green Internet of Things (IoT) Networks: A Survey. - Laith Farhan; Rasha Subhi Hameed; Asraa Safaa Ahmed; Ali Hussein Fadel; Waled Gheth; Laith Alzubaidi; Mohammed A. Fadhel; Muthana Al-Amidie (Network, 2021)

Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study. - Laith Alzubaidi; Ye Duan; Ayad Q. Al-Dujaili; Ibraheem Kasim Ibraheem; Ahmed H. Alkenani; José Santamaría; Mohammed A. Fadhel; Omran Al-Shamma; Jinglan Zhang (PeerJ Comput. Sci., 2021)

An introduction to programming Physics-Informed Neural Network-based computational solid mechanics. - Jinshuai Bai; Hyogu Jeong; C. P. Batuwatta-Gamage; Shusheng Xiao; Qingxia Wang; C. M. Rathnayaka; Laith Alzubaidi; Gui-Rong Liu; Yuantong Gu (CoRR, 2022)

Physics-guided deep learning for data scarcity. - Jinshuai Bai; Laith Alzubaidi; Qingxia Wang; Ellen Kuhl; Mohammed Bennamoun; Yuantong Gu (CoRR, 2022)

Robust application of new deep learning tools: an experimental study in medical imaging. - Laith Alzubaidi; Mohammed A. Fadhel; Omran Al-Shamma; Jinglan Zhang; José Santamaría; Ye Duan (Multim. Tools Appl., 2022)

Domain Adaptation and Feature Fusion for the Detection of Abnormalities in X-Ray Forearm Images. - Laith Alzubaidi; Mohammed A. Fadhel; Ahmed Shihab Albahri; Asma Salhi; Ashish Gupta; Yuantong Gu (EMBC, 2023)

Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs. - Jinshuai Bai; Gui-Rong Liu; Ashish Gupta; Laith Alzubaidi; Xi-Qiao Feng; Yuantong Gu (CoRR, 2023)

Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements. - 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 001; et al. (Int. J. Intell. Syst., 2023)

Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases. - Abdullah Hussein Alamoodi; Osamah Shihab Albahri; A. A. Zaidan 001; Hassan A. AlSattar; B. B. Zaidan; Ahmed Shihab Albahri; Amelia Ritahani Ismail; Gang Kou; Laith Alzubaidi; Mohammed Talal (Sensors, 2023)

Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner. - Methaq A. Shyaa; Zurinahni Zainol; Rosni Abdullah; Mohammed Anbar; Laith Alzubaidi; José Santamaría (Sensors, 2023)

Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection. - Sabah Abdulazeez Jebur; Khalid Ali Hussein; Haider K. Hoomod; Laith Alzubaidi (Comput., 2023)

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion. - 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 001; et al. (Inf. Fusion, 2023)

Enhanced MIMO CSI Estimation Using ACCPM with Limited Feedback. - Ahmed Al-Asadi; Ibtesam R. K. Al-Saedi; Saddam K. Alwane; Hongxiang Li; Laith Alzubaidi (Sensors, 2023)

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. - 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; et al. (J. Big Data, 2023)

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion. - 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 005; et al. (Artif. Intell. Medicine, 2024)

A systematic review of trustworthy artificial intelligence applications in natural disasters. - 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 (Comput. Electr. Eng., 2024)

An Experimental Comparison of Transfer Learning against Self-supervised Learning. - Zehui Zhao; Laith Alzubaidi; Jinglan Zhang; Ye Duan; Usman Naseem; Yuantong Gu (CoRR, 2024)

Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging. - Zehui Zhao; Laith Alzubaidi; Jinglan Zhang; Ye Duan; Usman Naseem; Yuantong Gu (CoRR, 2024)

A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos. - Sabah Abdulazeez Jebur; Khalid Ali Hussein; Haider K. Hoomod; Laith Alzubaidi; Ahmed Saihood; Yuantong Gu (CoRR, 2024)

Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction. - Laith Alzubaidi; Hussein Khalefa Chlaib; Mohammed A. Fadhel; Yubo Chen 006; Jinshuai Bai; Ahmed Shihab Albahri; Yuantong Gu (Eng. Appl. Artif. Intell., 2024)

Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems. - Methaq A. Shyaa; Noor Farizah Ibrahim; Zurinahni Zainol; Rosni Abdullah; Mohammed Anbar; Laith Alzubaidi (Eng. Appl. Artif. Intell., 2024)

Multiside graph neural network-based attention for local co-occurrence features fusion in lung nodule classification. - Ahmed Saihood; Mustafa Asaad Hasan; Shafaa mahmood shnawa; Mohammed A. Fadhel; Laith Alzubaidi; Ashish Gupta; Yuantong Gu (Expert Syst. Appl., 2024)

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 (Expert Syst. Appl., 2024)

Comprehensive systematic review of information fusion methods in smart cities and urban environments. - Mohammed A. Fadhel; Ali M. Duhaim; Ahmed Saihood; Ahmed Sewify; Mokhaled N. A. Al-Hamadani; Ahmed Shihab Albahri; Laith Alzubaidi; Ashish Gupta; Seyedali Mirjalili; Yuantong Gu (Inf. Fusion, 2024)

Generalisable deep Learning framework to overcome catastrophic forgetting. - Zaenab Alammar; Laith Alzubaidi; Jinglan Zhang; Yuefeng Li; Ashish Gupta; Yuantong Gu (Intell. Syst. Appl., 2024)

MEFF - A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging. - Laith Alzubaidi; Khamael Al-Dulaimi; Huda Abdul-Hussain Obeed; Ahmed Saihood; Mohammed A. Fadhel; Sabah Abdulazeez Jebur; Yubo Chen 006; Ahmed Shihab Albahri; José Santamaría; Ashish Gupta; Yuantong Gu (Intell. Syst. Appl., 2024)

Unmasking large language models by means of OpenAI GPT-4 and Google AI: A deep instruction-based analysis. - Idrees A. Zahid; Shahad Sabbar Joudar; Ahmed Shihab Albahri; Osamah Shihab Albahri; Abdullah Hussein Alamoodi; José Santamaría; Laith Alzubaidi (Intell. Syst. Appl., 2024)

Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review. - Mokhaled N. A. Al-Hamadani; Mohammed A. Fadhel; Laith Alzubaidi; Balázs Harangi (Sensors, 2024)

Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks. - 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 (Inf. Fusion, 2024)

Enhancing Sensor Data Imputation: OWA-Based Model Aggregation for Missing Values. - Muthana Al-Amidie; Laith Alzubaidi; Muhammad Aminul Islam; Derek T. Anderson (Future Internet, 2024)

Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools. - Mohammed A. Fadhel; Laith Alzubaidi; Yuantong Gu; José Santamaría; Ye Duan (Multim. Tools Appl., 2024)

SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study. - Laith Alzubaidi; Mohammed A. Fadhel; Freek Hollman; Asma Salhi; José Santamaría; Ye Duan; Ashish Gupta; Kenneth Cutbush; Amin M. Abbosh; Yuantong Gu (Artif. Intell. Rev., 2024)

Navigating the metaverse: unraveling the impact of artificial intelligence - a comprehensive review and gap analysis. - Mohammed A. Fadhel; Ali M. Duhaim; Ahmed Shihab Albahri; Z. T. Al-qaysi; Mohamed Aktham Ahmed; Mohammed A. Chyad; Wael Abd-Alaziz; Osamah Shihab Albahri; Abdullah Hussein Alamoodi; Laith Alzubaidi; Ashish Gupta; Yuantong Gu (Artif. Intell. Rev., 2024)

Fusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network. - Ahmed Saihood; Wijdan Rashid Abdulhussien; Laith Alzubaidi; Mohamed Manoufali; Yuantong Gu (BMC Medical Informatics Decis. Mak., 2024)

Artificial intelligence based-improving reservoir management: An Attention-Guided Fusion Model for predicting injector-producer connectivity. - Ahmed Saihood; Tariq Saihood; Sabah Abdulazeez Jebur; Christine Ehlig-Economides; Laith Alzubaidi; Yuantong Gu (Eng. Appl. Artif. Intell., 2025)

A Scalable and Generalised Deep Learning Framework for Anomaly Detection in Surveillance Videos. - Sabah Abdulazeez Jebur; Laith Alzubaidi; Ahmed Saihood; Khalid Ali Hussein; Haider K. Hoomod; Yuantong Gu (Int. J. Intell. Syst., 2025)

ATD Learning: A secure, smart, and decentralised learning method for big data environments. - Laith Alzubaidi; Sabah Abdulazeez Jebur; Tanya Abdulsattar Jaber; Mohanad A. Mohammed; Haider A. Alwzwazy; Ahmed Saihood; Harshala Gammulle; José Santamaría; Ye Duan; Clinton Fookes; Raja Jurdak; Yuantong Gu (Inf. Fusion, 2025)

Investigating imperceptibility of adversarial attacks on tabular data: An empirical analysis. - Zhipeng He 002; Chun Ouyang 001; Laith Alzubaidi; Alistair Barros; Catarina Moreira (Intell. Syst. Appl., 2025)

FracNet: An end-to-end deep learning framework for bone fracture detection. - Haider A. Alwzwazy; Laith Alzubaidi; Zehui Zhao; Yuantong Gu (Pattern Recognit. Lett., 2025)

A Secure and Adaptive Framework for Enhancing Intrusion Detection in IoT Networks Using Incremental Learning and Blockchain. - Zaed S. Mahdi; Rana M. Zaki; Laith Alzubaidi (Secur. Priv., 2025)

Fuzzy Decision-Making Framework for Evaluating Hybrid Detection Models of Trauma Patients. - Rula A. Hamid; Idrees A. Zahid; Ahmed Shihab Albahri; Osamah Shihab Albahri; Abdullah Hussein Alamoodi; Laith Alzubaidi; Iman Mohamad Sharaf; Shahad Sabbar Joudar; Yuantong Gu; Z. T. Al-qaysi (Expert Syst. J. Knowl. Eng., 2025)

A comprehensive review on key technologies toward smart healthcare systems based IoT: technical aspects, challenges and future directions. - Muntadher Alsabah; Marwah Abdulrazzaq Naser; Ahmed Shihab Albahri; Osamah Shihab Albahri; Abdullah Hussein Alamoodi; Sadiq H. Abdulhussain; Laith Alzubaidi (Artif. Intell. Rev., 2025)

Towards unbiased skin cancer classification using deep feature fusion. - Ali Atshan Abdulredah; Mohammed A. Fadhel; Laith Alzubaidi; Ye Duan; Monji Kherallah; Faiza Charfi (BMC Medical Informatics Decis. Mak., 2025)