Laith Alzubaidi

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Venues

Sensors (Basel, Switzerland)

Plants (Basel, Switzerland)

Life (Basel, Switzerland)

International journal of telemedicine and applications

Queensland University of Technology (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Queensland University of Technology Jul 16 2018

Australia

PHD :: Faculty of Science & Engineering

University of Missouri Columbia Jan 20 2015 - Dec 16 2016

United States

MSC :: Computer Science

Publications

Mokhaled N A Al-Hamadani, Mohammed A Fadhel, Laith Alzubaidi, Harangi Balazs
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review. Sensors (Basel, Switzerland) 24 (8) (2024)
Mokhaled N A Al-Hamadani, Mohammed A Fadhel, Laith Alzubaidi, Harangi Balazs
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review. Sensors (Basel, Switzerland) 24 (8) (2024)
Mokhaled N A Al-Hamadani, Mohammed A Fadhel, Laith Alzubaidi, Harangi Balazs
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review. Sensors (Basel, Switzerland) 24 (8) (2024)
Abdullah Hussein Alamoodi, Osamah Shihab Albahri, A A Zaidan, H 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 (Basel, Switzerland) 23 (4) (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 (Basel, Switzerland) 23 (7) (2023)
Fouad H Awad, Murtadha M Hamad, Laith Alzubaidi
Robust Classification and Detection of Big Medical Data Using Advanced Parallel K -Means Clustering, YOLOv4, and Logistic Regression. Life (Basel, Switzerland) 13 (3) (2023)
Ali H Al-Timemy, Laith Alzubaidi, Zahraa M Mosa, Hazem Abdel Motaal, Nebras H Ghaeb, Alexandru Lavric, Rossen M Hazarbassanov, Hidenori Takahashi, Yuantong Gu, Siamak Yousefi
A Deep Feature Fusion of Improved Suspected Keratoconus Detection with Deep Learning. Diagnostics (Basel, Switzerland) 13 (10) (2023)
Abdullah Hussein Alamoodi, Osamah Shihab Albahri, A A Zaidan, H 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 (Basel, Switzerland) 23 (4) (2023)
Reem Ibrahim Hasan, Suhaila Mohd Yusuf, Mohd Shafry Mohd Rahim, Laith Alzubaidi
Automatic Clustering and Classification of Coffee Leaf Diseases Based on an Extended Kernel Density Estimation Approach. Plants (Basel, Switzerland) 12 (8) (2023)
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 (Basel, Switzerland) 23 (18) (2023)
Ahmed Shihab Albahri, Z T Al-Qaysi, Laith Alzubaidi, Alhamzah Alnoor, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Anizah Abu Bakar
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 Methodology. International journal of telemedicine and applications 2023 (2023)
Reem Ibrahim Hasan, Suhaila Mohd Yusuf, Mohd Shafry Mohd Rahim, Laith Alzubaidi
Automatic Clustering and Classification of Coffee Leaf Diseases Based on an Extended Kernel Density Estimation Approach. Plants (Basel, Switzerland) 12 (8) (2023)
Reem Ibrahim Hasan, Suhaila Mohd Yusuf, Mohd Shafry Mohd Rahim, Laith Alzubaidi
Automatic Clustering and Classification of Coffee Leaf Diseases Based on an Extended Kernel Density Estimation Approach. Plants (Basel, Switzerland) 12 (8) (2023)
Zaenab Alammar, Laith Alzubaidi, Jinglan Zhang, Yuefeng Li, Waail Lafta, Yuantong Gu
Deep Transfer Learning with Enhanced Feature Fusion for Detection of Abnormalities in X-ray Images. Cancers 15 (15) (2023)
Fouad H Awad, Murtadha M Hamad, Laith Alzubaidi
Robust Classification and Detection of Big Medical Data Using Advanced Parallel K -Means Clustering, YOLOv4, and Logistic Regression. Life (Basel, Switzerland) 13 (3) (2023)
Fouad H Awad, Murtadha M Hamad, Laith Alzubaidi
Robust Classification and Detection of Big Medical Data Using Advanced Parallel K -Means Clustering, YOLOv4, and Logistic Regression. Life (Basel, Switzerland) 13 (3) (2023)
Ahmed Shihab Albahri, Z T Al-Qaysi, Laith Alzubaidi, Alhamzah Alnoor, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Anizah Abu Bakar
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 Methodology. International journal of telemedicine and applications 2023 (2023)
Ahmed Shihab Albahri, Z T Al-Qaysi, Laith Alzubaidi, Alhamzah Alnoor, Osamah Shihab Albahri, Abdullah Hussein Alamoodi, Anizah Abu Bakar
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 Methodology. International journal of telemedicine and applications 2023 (2023)
Laith Alzubaidi, Jinglan Zhang, Amjad J Humaidi, Ayad Al-Dujaili, Ye Duan, Omran Al-Shamma, J Santamaría, Mohammed A Fadhel, Muthana Al-Amidie, Laith Farhan
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. Journal of big data 8 (1) (2021)
Laith Alzubaidi, Muthana Al-Amidie, Ahmed Al-Asadi, Amjad J Humaidi, Omran Al-Shamma, Mohammed A Fadhel, Jinglan Zhang, José Santamaría, Ye Duan
Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data. Cancers 13 (7) (2021)
Reem Ibrahim Hasan, Suhaila Mohd Yusuf, Laith Alzubaidi
Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion. Plants (Basel, Switzerland) 9 (10) (2020)

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Publication Activity (10 Years)

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Laith Alzubaidi