Shahab A. Abdulla
Orcid: 0000-0002-1193-6969
According to our database1,
Shahab A. Abdulla authored at least 42 papers
between 2011 and 2026.
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Bibliography
2026
FedVGM: Enhancing Federated Learning Performance on Multi-Dataset Medical Images With XAI.
IEEE J. Biomed. Health Informatics, February, 2026
2025
SGDM-GRU: Spectral graph deep learning based Gated Recurrent Unit model for accurate fake news detection.
Expert Syst. Appl., 2025
EEG based over-complete rational dilation wavelet transform coupled with autoregressive for motor imagery classification.
Expert Syst. Appl., 2025
The Influence Maximization in Complex Networks: Significant Trends, Leading Contributors, and Prospective Directions.
Complex., 2025
Advancing Federated Learning: A Systematic Literature Review of Methods, Challenges, and Applications.
IEEE Access, 2025
Improving Medical X-Ray Imaging Diagnosis With Attention Mechanisms and Robust Transfer Learning Techniques.
IEEE Access, 2025
Optimizing Brain Tumor Segmentation Networks Through Evolutionary Neural Architecture Search.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025
2024
Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data.
Comput. Electron. Agric., 2024
Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course.
Comput. Educ. Artif. Intell., 2024
Securing X-Ray Images Into Cover Images Using Hybrid EBS Steganography With Five-Layer Cryptography.
IEEE Access, 2024
Layered Model Stacking: Enhancing DDoS Detection Through Advanced Ensemble Machine Learning Techniques.
Proceedings of the IEEE Region 10 Conference, 2024
Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models.
Proceedings of the Health Information Science - 13th International Conference, 2024
Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model.
Proceedings of the Health Information Science - 13th International Conference, 2024
2023
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach.
Sensors, March, 2023
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification.
Int. J. Medical Informatics, March, 2023
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition.
Comput. Methods Programs Biomed., February, 2023
Identifying License Plates in Distorted Vehicle Images: Detecting Distorted Vehicle Licence Plates Using a Novel Preprocessing Methods With Hybrid Feature Descriptors.
IEEE Intell. Transp. Syst. Mag., 2023
Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples.
CoRR, 2023
Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models.
CoRR, 2023
Designing pentapartitioned neutrosophic cubic set aggregation operator-based air pollution decision-making model.
Complex Intell. Syst., 2023
2022
An Enhanced Architecture to Resolve Public-Key Cryptographic Issues in the Internet of Things (IoT), Employing Quantum Computing Supremacy.
Sensors, 2022
Developing Smart Self Orienting Solar Tracker for Mobile PV Power Generation Systems.
IEEE Access, 2022
ECG Signals Classification Model Based on Frequency Domain Features Coupled with Least Square Support Vector Machine (LS-SVM).
Proceedings of the Health Information Science - 11th International Conference, 2022
An Intelligence Approach for Blood Pressure Estimation from Photoplethysmography Signal.
Proceedings of the Health Information Science - 11th International Conference, 2022
2021
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis.
Frontiers Neuroinformatics, 2021
Artif. Intell. Medicine, 2021
IEEE Access, 2021
A hybrid architecture for resolving Cryptographic issues in internet of things (IoT), Employing Quantum computing supremacy.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
A Novel Alcoholic EEG Signals Classification Approach Based on AdaBoost k-means Coupled with Statistical Model.
Proceedings of the Health Information Science - 10th International Conference, 2021
2020
An Efficient Texture Descriptor for the Detection of License Plates From Vehicle Images in Difficult Conditions.
IEEE Trans. Intell. Transp. Syst., 2020
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications.
Expert Syst. Appl., 2020
Comput. Methods Programs Biomed., 2020
2019
Epileptic seizures detection in EEGs blending frequency domain with information gain technique.
Soft Comput., 2019
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm.
Expert Syst. Appl., 2019
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals.
Biomed. Signal Process. Control., 2019
2018
Epileptic EEG signal classification using optimum allocation based power spectral density estimation.
IET Signal Process., 2018
Ensemble of adaboost cascades of 3L-LBPs classifiers for license plates detection with low quality images.
Expert Syst. Appl., 2018
Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018
2017
Developing a Tunable Q-Factor Wavelet Transform Based Algorithm for Epileptic EEG Feature Extraction.
Proceedings of the Health Information Science - 6th International Conference, 2017
2016
Classification of epileptic EEG signals based on simple random sampling and sequential feature selection.
Brain Informatics, 2016
2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2011
Int. J. Mechatronics Autom., 2011