Laith Alzubaidi
Orcid: 0000-0002-7296-5413
According to our database1,
Laith Alzubaidi
authored at least 32 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks.
Inf. Fusion, May, 2024
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review.
Sensors, April, 2024
2023
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications.
J. Big Data, December, 2023
Sensors, September, 2023
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion.
Inf. Fusion, August, 2023
Comput., August, 2023
Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner.
Sensors, April, 2023
Intelligent Emotion and Sensory Remote Prioritisation for Patients with Multiple Chronic Diseases.
Sensors, February, 2023
Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs.
CoRR, 2023
Domain Adaptation and Feature Fusion for the Detection of Abnormalities in X-Ray Forearm Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Robust application of new deep learning tools: an experimental study in medical imaging.
Multim. Tools Appl., 2022
An introduction to programming Physics-Informed Neural Network-based computational solid mechanics.
CoRR, 2022
2021
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., 2021
Network, 2021
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions.
J. Big Data, 2021
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks.
CoRR, 2021
2020
DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network.
Multim. Tools Appl., 2020
Diagnosing Coronavirus (COVID-19) Using Various Deep Learning Models: A Comparative Study.
Proceedings of the Intelligent Systems Design and Applications, 2020
Amended Convolutional Neural Network with Global Average Pooling for Image Classification.
Proceedings of the Intelligent Systems Design and Applications, 2020
Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study.
Proceedings of the Intelligent Systems Design and Applications, 2020
2019
IEEE Access, 2019
Proceedings of the Intelligent Systems Design and Applications, 2019
Proceedings of the Intelligent Systems Design and Applications, 2019
Proceedings of the Intelligent Systems Design and Applications, 2019
Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
2018
Proceedings of the Intelligent Systems Design and Applications, 2018
Proceedings of the Intelligent Systems Design and Applications, 2018
Proceedings of the Intelligent Systems Design and Applications, 2018
Classification of Red Blood Cells in Sickle Cell Anemia Using Deep Convolutional Neural Network.
Proceedings of the Intelligent Systems Design and Applications, 2018
Proceedings of the Intelligent Systems Design and Applications, 2018