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ORCIDMohamed Shaban
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2020 – today
- 2024
[c15]Muhammad Ismail, Mohamed Shaban, Samuel Yen-Chi Chen:
Hands-On Introduction to Quantum Machine Learning. FLAIRS 2024- [c14]Nicholas Skjellum, Mohamed Shaban, Muhammad Ismail:
Secure and Efficient Entanglement Distribution Protocols for Near-Term Quantum Internet. ICCCN 2024: 1-9 - [i3]Mohamed Shaban, Muhammad Ismail, Walid Saad:
SPARQ: Efficient Entanglement Distribution and Routing in Space-Air-Ground Quantum Networks. CoRR abs/2409.12891 (2024) - 2023
- [j4]Mohamed Shaban
:
Deep Learning for Parkinson's Disease Diagnosis: A Short Survey. Comput. 12(3): 58 (2023) - [j3]Madan Parajuli, Mohamed Shaban, Thuy L. Phung:
Automated differentiation of skin melanocytes from keratinocytes in high-resolution histopathology images using a weakly-supervised deep-learning framework. Int. J. Imaging Syst. Technol. 33(1): 262-275 (2023) - [c13]Md. Bipul Hossain, Na Gong, Mohamed Shaban:
Computational Complexity Reduction Techniques for Deep Neural Networks: A Survey. AIBThings 2023: 1-6 - [c12]Madan Parajuli, Amy W. Amara, Mohamed Shaban:
A Novel Deep-Learning Based Approach for Mild Cognitive Impairment Screening in Patients with Parkinson's Disease. AIBThings 2023: 1-4 - [c11]Madan Parajuli, Amy W. Amara, Mohamed Shaban:
Screening of Mild Cognitive Impairment in Patients with Parkinson's Disease Using a Variational Mode Decomposition Based Deep-Learning. NER 2023: 1-6 - [c10]Md. Bipul Hossain, Na Gong, Mohamed Shaban:
An Improved Lightweight DenseNet-201 Model for Pneumonia Detection on Edge IoT. WF-IoT 2023: 1-5 - [i2]Mohamed Shaban, Muhammad Ismail:
Secured Quantum Identity Authentication Protocol for Quantum Networks. CoRR abs/2312.05774 (2023) - [i1]Nicholas Skjellum, Mohamed Shaban, Muhammad Ismail:
Secure and Efficient Entanglement Distribution Protocol for Near-Term Quantum Internet. CoRR abs/2312.05775 (2023) - 2021
- [j2]Mohamed Shaban, Reem Salim, Hadil Abu Khalifeh, Adel Khelifi, Ahmed Shalaby, Shady El-Mashad, Ali Mahmoud, Mohammed Ghazal, Ayman El-Baz:
A Deep-Learning Framework for the Detection of Oil Spills from SAR Data. Sensors 21(7): 2351 (2021) - [c9]Mohamed Shaban:
Automated Screening of Parkinson's Disease Using Deep Learning Based Electroencephalography. NER 2021: 158-161 - [c8]Mohamed Shaban, Stephen Cahoon, Fiza Khan, Mahalia Polk:
Exploiting the Differential Wavelet Domain of Resting-State EEG Using a Deep-CNN for Screening Parkinson's Disease. SSCI 2021: 1-5 - 2020
- [c7]Mohamed Shaban:
Deep Convolutional Neural Network for Parkinson's Disease Based Handwriting Screening. ISBI Workshops 2020: 1-4
2010 – 2019
- 2019
- [c6]Omar Dekhil, Ahmed Naglah, Mohamed Shaban, Mohammed Ghazal, Fatma Taher, Ayman El-Baz:
Deep Learning Based Method for Computer Aided Diagnosis of Diabetic Retinopathy. IST 2019: 1-4 - 2018
- [c5]Mohamed Shaban, Zeliha Ogur, Ahmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Harpal Sandhu, Henry Kaplan, Ayman El-Baz:
Automated Staging of Diabetic Retinopathy Using a 2D Convolutional Neural Network. ISSPIT 2018: 354-358 - [c4]Mohamed Shaban, Ahmed Abdelgawad:
A study of distributed compressive sensing for the Internet of Things (IoT). WF-IoT 2018: 173-178 - 2017
- [j1]Mohamed Shaban:
Sub-Nyquist spectrum sensing for wideband cognitive radios: a survey. Int. J. Wirel. Mob. Comput. 12(2): 107-116 (2017) - 2016
- [c3]Mohamed Shaban, Magdy A. Bayoumi:
On sub-Nyquist spectrum sensing for wideband cognitve radios. ICUFN 2016: 543-548 - 2015
- [c2]Mohamed Shaban, Tarek A. Idriss, Haytham Idriss, Magdy A. Bayoumi:
ASIC implementation of a computationally efficient compressive sensing detection method using least squares optimization in 45 nm CMOS technology. ICASSP 2015: 1096-1100 - 2013
- [c1]Mohamed Shaban, Dmitri D. Perkins, Magdy A. Bayoumi:
An efficient compressive wideband spectrum sensing architecture for cognitive radios. SiPS 2013: 130-134
Coauthor Index
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