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2020 – today
- 2025
[j36]Ahmed Saihood, Tariq Saihood, Sabah Abdulazeez Jebur, Christine Ehlig-Economides, Laith Alzubaidi, Yuantong Gu:
Artificial intelligence based-improving reservoir management: An Attention-Guided Fusion Model for predicting injector-producer connectivity. Eng. Appl. Artif. Intell. 146: 110205 (2025)- [j35]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:
Fuzzy Decision-Making Framework for Evaluating Hybrid Detection Models of Trauma Patients. Expert Syst. J. Knowl. Eng. 42(3) (2025) - [j34]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:
ATD Learning: A secure, smart, and decentralised learning method for big data environments. Inf. Fusion 118: 102953 (2025) - [j33]Zhipeng He, Chun Ouyang, Laith Alzubaidi, Alistair Barros, Catarina Moreira:
Investigating imperceptibility of adversarial attacks on tabular data: An empirical analysis. Intell. Syst. Appl. 25: 200461 (2025) - [j32]Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, Ye Duan, Monji Kherallah, Faiza Charfi:
Towards unbiased skin cancer classification using deep feature fusion. BMC Medical Informatics Decis. Mak. 25(1): 48 (2025) - [j31]Haider A. Alwzwazy, Laith Alzubaidi, Zehui Zhao, Yuantong Gu:
FracNet: An end-to-end deep learning framework for bone fracture detection. Pattern Recognit. Lett. 190: 1-7 (2025) - 2024
- [j30]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): 261 (2024) - [j29]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:
Navigating the metaverse: unraveling the impact of artificial intelligence - a comprehensive review and gap analysis. Artif. Intell. Rev. 57(9): 264 (2024) - [j28]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: 102935 (2024) - [j27]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: 109409 (2024) - [j26]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: 107627 (2024) - [j25]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: 109143 (2024) - [j24]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: 122807 (2024) - [j23]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: 124149 (2024) - [j22]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): 193 (2024) - [j21]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: 102208 (2024) - [j20]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:
Comprehensive systematic review of information fusion methods in smart cities and urban environments. Inf. Fusion 107: 102317 (2024) - [j19]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: 200355 (2024) - [j18]Zaenab Alammar, Laith Alzubaidi, Jinglan Zhang, Yuefeng Li, Ashish Gupta, Yuantong Gu:
Generalisable deep Learning framework to overcome catastrophic forgetting. Intell. Syst. Appl. 23: 200415 (2024) - [j17]Idrees A. Zahid, Shahad Sabbar Joudar, Ahmed Shihab Albahri, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, José Santamaría, Laith Alzubaidi:
Unmasking large language models by means of OpenAI GPT-4 and Google AI: A deep instruction-based analysis. Intell. Syst. Appl. 23: 200431 (2024) - [j16]Ahmed Saihood, Wijdan Rashid Abdulhussien, Laith Alzubaidi, Mohamed Manoufali, Yuantong Gu:
Fusion-driven semi-supervised learning-based lung nodules classification with dual-discriminator and dual-generator generative adversarial network. BMC Medical Informatics Decis. Mak. 24(1): 403 (2024) - [j15]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): 70369-70394 (2024) - [j14]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): 2461 (2024) - [i8]Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, Ye Duan, Usman Naseem, Yuantong Gu:
An Experimental Comparison of Transfer Learning against Self-supervised Learning. CoRR abs/2407.05592 (2024) - [i7]Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, Ye Duan, Usman Naseem, Yuantong Gu:
Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging. CoRR abs/2407.06566 (2024) - [i6]Zhipeng He, Chun Ouyang, Laith Alzubaidi, Alistair Barros, Catarina Moreira:
Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis. CoRR abs/2407.11463 (2024) - [i5]Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, Laith Alzubaidi, Ahmed Saihood, Yuantong Gu:
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos. CoRR abs/2408.00792 (2024) - 2023
- [j13]Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, Laith Alzubaidi:
Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection. Comput. 12(9): 175 (2023) - [j12]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: 1-41 (2023) - [j11]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: 156-191 (2023) - [j10]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): 46 (2023) - [j9]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): 1854 (2023) - [j8]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): 3736 (2023) - [j7]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): 7965 (2023) - [c14]Laith Alzubaidi, Mohammed A. Fadhel, Ahmed Shihab Albahri, Asma Salhi, Ashish Gupta, Yuantong Gu:
Domain Adaptation and Feature Fusion for the Detection of Abnormalities in X-Ray Forearm Images. EMBC 2023: 1-5 - [i4]Jinshuai Bai, Gui-Rong Liu, Ashish Gupta, Laith Alzubaidi, Xi-Qiao Feng, Yuantong Gu:
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs. CoRR abs/2304.06234 (2023) - 2022
- [j6]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): 13289-13317 (2022) - [i3]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 abs/2210.09060 (2022) - [i2]Jinshuai Bai, Laith Alzubaidi, Qingxia Wang, Ellen Kuhl, Mohammed Bennamoun, Yuantong Gu:
Physics-guided deep learning for data scarcity. CoRR abs/2211.15664 (2022) - 2021
- [j5]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): 53 (2021) - [j4]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): 279-314 (2021) - [j3]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: e715 (2021) - [i1]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 abs/2110.06512 (2021) - 2020
- [j2]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): 15655-15677 (2020) - [c13]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: 171-180 - [c12]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: 181-189 - [c11]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: 1188-1197
2010 – 2019
- 2019
- [j1]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: 56617-56630 (2019) - [c10]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: 268-273 - [c9]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: 321-325 - [c8]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: 90-99 - [c7]Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi:
Hardware Accelerator for Real-Time Holographic Projector. ISDA 2019: 132-139 - [c6]Hassan Al-Yassin, Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi:
Solving Lorenz ODE System Based Hardware Booster. ISDA 2019: 245-254 - 2018
- [c5]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: 509-517 - [c4]Mohammed Abdulraheem Fadhel, Omran Al-Shamma, Sameer Razzaq Oleiwi, Bahaa Hussein Taher, Laith Alzubaidi:
Real-Time PCG Diagnosis Using FPGA. ISDA (1) 2018: 518-529 - [c3]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: 550-559 - [c2]Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang:
Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood. ISDA (1) 2018: 560-570 - [c1]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: 1093-1101
Coauthor Index
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