Shahab A. Abdulla

Orcid: 0000-0002-1193-6969

According to our database1, Shahab A. Abdulla authored at least 30 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data.
Comput. Electron. Agric., 2024

Securing X-Ray Images Into Cover Images Using Hybrid EBS Steganography With Five-Layer Cryptography.
IEEE Access, 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

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

A new framework for classification of multi-category hand grasps using EMG signals.
Artif. Intell. Medicine, 2021

Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm.
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

EEG sleep stages identification based on weighted undirected complex networks.
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

A New Approach to Spread-spectrum OFDM.
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
The effects of time-delay on feedback control of depth of anesthesia.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2011
Robust internal model control for depth of anaesthesia.
Int. J. Mechatronics Autom., 2011


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