Laith Alzubaidi

Orcid: 0000-0002-7296-5413

According to our database1, Laith Alzubaidi authored at least 51 papers between 2018 and 2024.

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Bibliography

2024
Navigating the metaverse: unraveling the impact of artificial intelligence - a comprehensive review and gap analysis.
Artif. Intell. Rev., September, 2024

SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study.
Artif. Intell. Rev., September, 2024

Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools.
Multim. Tools Appl., August, 2024

Enhancing Sensor Data Imputation: OWA-Based Model Aggregation for Missing Values.
Future Internet, June, 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

Unmasking large language models by means of OpenAI GPT-4 and Google AI: A deep instruction-based analysis.
Intell. Syst. Appl., 2024

MEFF - A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging.
Intell. Syst. Appl., 2024

Generalisable deep Learning framework to overcome catastrophic forgetting.
Intell. Syst. Appl., 2024

Comprehensive systematic review of information fusion methods in smart cities and urban environments.
Inf. Fusion, 2024

A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations.
Expert Syst. Appl., 2024

Multiside graph neural network-based attention for local co-occurrence features fusion in lung nodule classification.
Expert Syst. Appl., 2024

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., 2024

Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction.
Eng. Appl. Artif. Intell., 2024

A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos.
CoRR, 2024

Investigating Imperceptibility of Adversarial Attacks on Tabular Data: An Empirical Analysis.
CoRR, 2024

Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging.
CoRR, 2024

An Experimental Comparison of Transfer Learning against Self-supervised Learning.
CoRR, 2024

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

Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion.
Artif. Intell. Medicine, 2024

2023
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications.
J. Big Data, December, 2023

Enhanced MIMO CSI Estimation Using ACCPM with Limited Feedback.
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

Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection.
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

Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements.
Int. J. Intell. Syst., 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

Physics-guided deep learning for data scarcity.
CoRR, 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

Energy Efficiency for Green Internet of Things (IoT) Networks: A Survey.
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
Toward Interference Aware IoT Framework: Energy and Geo-Location-Based-Modeling.
IEEE Access, 2019

Hardware Accelerator for Real-Time Holographic Projector.
Proceedings of the Intelligent Systems Design and Applications, 2019

A Deep Convolutional Neural Network Model for Multi-class Fruits Classification.
Proceedings of the Intelligent Systems Design and Applications, 2019

Solving Lorenz ODE System Based Hardware Booster.
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

Employment of Multi-classifier and Multi-domain Features for PCG Recognition.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

2018
Real-Time PCG Diagnosis Using FPGA.
Proceedings of the Intelligent Systems Design and Applications, 2018

Digital Color Documents Authentication Using QR Code Based on Digital Watermarking.
Proceedings of the Intelligent Systems Design and Applications, 2018

Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood.
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

Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator.
Proceedings of the Intelligent Systems Design and Applications, 2018


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