Manal M. Tantawi

Orcid: 0000-0002-5651-7151

Affiliations:
  • Ain Shams University, Department of Scientific Computing, Cairo, Egypt


According to our database1, Manal M. Tantawi authored at least 27 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Early Diagnosis of Parkinson's Disease Using Hand Drawings Images.
Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics, 2023

2021
Classifying Electroencephalogram (EEG) Signals Using BAT-SVM Classifier for Detecting Epilepsy.
Int. J. Serv. Sci. Manag. Eng. Technol., 2021

A Hybrid Two-Stage CNN-SVM Model for Bone X-Rays Classification and Abnormality Detection.
Int. J. Sociotechnology Knowl. Dev., 2021

A Hybrid Two-Stage GNG-Modified VGG Method for Bone X-Rays Classification and Abnormality Detection.
IEEE Access, 2021

One-Stage vs Two-Stage Deep Learning Method for Bone Abnormality Detection.
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2021

Deep Learning Method for Bone Abnormality Detection Using Multi-view X-rays.
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2021

2020
Automated EEG-based epilepsy detection using BA_SVM classifiers.
Int. J. Medical Eng. Informatics, 2020

Generalization of Convolutional Neural Networks for ECG Classification Using Generative Adversarial Networks.
IEEE Access, 2020

Deep Convolutional Neural Networks for ECG Heartbeat Classification Using Two-Stage Hierarchical Method.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2020

Combination of Convolutional and Recurrent Neural Networks for Heartbeat Classification.
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2020

A Comparative Analysis of Different Feature Extraction Techniques for Motor Imagery Based BCI System.
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2020

Eye Movements Recognition Using Electrooculography Signals.
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2020

A Two-Stage Method for Bone X-Rays Abnormality Detection Using MobileNet Network.
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2020

2019
Analyzing Electrooculography (EOG) for Eye Movement Detection.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019

Detecting Epileptic Seizures Using Abe Entropy, Line Length and SVM Classifier.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2019

Heartbeat Classification Using 1D Convolutional Neural Networks.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, 2019

2018
Hybrid hierarchical method for electrocardiogram heartbeat classification.
IET Signal Process., 2018

A CSP\AM-BA-SVM Approach for Motor Imagery BCI System.
IEEE Access, 2018

Comparing Multi-class Approaches for Motor Imagery Using Renyi Entropy.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018

2017
Diagnosing Heart Diseases Using Morphological and Dynamic Features of Electrocardiogram (ECG).
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, 2017

2016
Electrocardiogram (ECG) Classification Based On Dynamic Beats Segmentation.
Proceedings of the 10th International Conference on Informatics and Systems, 2016

Reducing Execution Time for Real-Time Motor Imagery Based BCI Systems.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2016

2015
A wavelet feature extraction method for electrocardiogram (ECG)-based biometric recognition.
Signal Image Video Process., 2015

2014
Electrocardiogram (ECG): A New Burgeoning Utility for Biometric Recognition.
Proceedings of the Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations, 2014

ECG signals analysis for biometric recognition.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

Fiducial Based Approach to ECG Biometrics Using Limited Fiducial Points.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2014

2013
Fiducial feature reduction analysis for electrocardiogram (ECG) based biometric recognition.
J. Intell. Inf. Syst., 2013


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