Ahmed S. Eltrass
Orcid: 0000-0002-6696-8992
According to our database1,
Ahmed S. Eltrass
authored at least 13 papers
between 2018 and 2024.
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Bibliography
2024
A Compressive Sensing Based Computationally Efficient High-Resolution DOA Estimation of Wideband Signals Using Generalized Coprime Arrays.
Wirel. Pers. Commun., February, 2024
Proceedings of the 6th Novel Intelligent and Leading Emerging Sciences Conference, 2024
2023
Investigation of automatic spindle detection in sleep EEG signals contaminated with noise and artifact sources.
J. Ambient Intell. Humaniz. Comput., 2023
2022
A New Adaptive Beamforming of Multiband Fractal Antenna Array in Strong-Jamming Environment.
Wirel. Pers. Commun., 2022
Automated ECG multi-class classification system based on combining deep learning features with HRV and ECG measures.
Neural Comput. Appl., 2022
Automated deep learning approach for classification of malignant melanoma and benign skin lesions.
Multim. Tools Appl., 2022
Novel cascade filter design of improved sparse low-rank matrix estimation and kernel adaptive filtering for ECG denoising and artifacts cancellation.
Biomed. Signal Process. Control., 2022
Synthesis of Wideband Thinned Eisenstein Fractile Antenna Arrays With Adaptive Beamforming Capability and Reduced Side-Lobes.
IEEE Access, 2022
2021
Automatic epileptic seizure detection approach based on multi-stage Quantized Kernel Least Mean Square filters.
Biomed. Signal Process. Control., 2021
A new automated CNN deep learning approach for identification of ECG congestive heart failure and arrhythmia using constant-Q non-stationary Gabor transform.
Biomed. Signal Process. Control., 2021
2020
Fully automated scheme for computer-aided detection and breast cancer diagnosis using digitised mammograms.
IET Image Process., 2020
2018
An Improved Approach for Computer-Aided Diagnosis of Breast Cancer in Digital Mammography.
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018
Investigation of EEG Noise and Artifact Removal by Patch-Based and Kernel Adaptive Filtering Techniques.
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018