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2020 – today
- 2023
[c16]Temilola Onifade, Omar Eldash, Magdy A. Bayoumi:
An Optimized Object Detection Algorithm for Unmanned Aerial Vehicles (UAVs). WF-IoT 2023: 1-7- 2022
- [j6]Kasem Khalil
, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
Designing Novel AAD Pooling in Hardware for a Convolutional Neural Network Accelerator. IEEE Trans. Very Large Scale Integr. Syst. 30(3): 303-314 (2022) - 2021
- [j5]Kasem Khalil, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
Self-Healing Router Approach for High-Performance Network-on-Chip. IEEE Open J. Circuits Syst. 2: 485-496 (2021) - [c15]Kasem Khalil, Omar Eldash, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi:
An Efficient Embryonic Hardware Architecture based on Network-on-Chip. MWSCAS 2021: 449-452 - [c14]David Cain, Omar Eldash, Kasem Khalil, Magdy A. Bayoumi:
Convolution Processing Unit Featuring Adaptive Precision using Dynamic Reconfiguration. WF-IoT 2021: 592-597 - [i1]James Hegarty, Omar Eldash, Amr Suleiman, Armin Alaghi:
HWTool: Fully Automatic Mapping of an Extensible C++ Image Processing Language to Hardware. CoRR abs/2110.12106 (2021) - 2020
- [j4]Kasem Khalil, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
Intelligent Fault-Prediction Assisted Self-Healing for Embryonic Hardware. IEEE Trans. Biomed. Circuits Syst. 14(4): 852-866 (2020) - [j3]Kasem Khalil, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
Machine Learning-Based Approach for Hardware Faults Prediction. IEEE Trans. Circuits Syst. 67-I(11): 3880-3892 (2020) - [c13]Kasem Khalil, Omar Eldash, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi:
Architecture of A Novel Low-Cost Hardware Neural Network. MWSCAS 2020: 1060-1063 - [c12]Omar Eldash, Adam Frost, Kasem Khalil, Ashok Kumar, Magdy A. Bayoumi:
Dynamically Reconfigurable Deep Learning for Efficient Video Processing in Smart IoT Systems. WF-IoT 2020: 1-6
2010 – 2019
- 2019
- [j2]Kasem Khalil, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
Self-healing hardware systems: A review. Microelectron. J. 93 (2019) - [j1]Kasem Khalil, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
Economic LSTM Approach for Recurrent Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 66-II(11): 1885-1889 (2019) - [c11]Kasem Khalil, Omar Eldash, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi:
A Novel Reconfigurable Hardware Architecture of Neural Network. MWSCAS 2019: 618-621 - [c10]Kasem Khalil, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
Self-Healing Approach for Hardware Neural Network Architecture. MWSCAS 2019: 622-625 - [c9]Kasem Khalil, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
N2 OC: Neural-Network-on-Chip Architecture. SoCC 2019: 272-277 - [c8]Kasem Khalil, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
A Speed and Energy Focused Framework for Dynamic Hardware Reconfiguration. SoCC 2019: 388-393 - 2018
- [c7]Kasem Khalil, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
An Efficient Approach for Neural Network Architecture. ICECS 2018: 745-748 - [c6]Kasem Khalil, Omar Eldash, Magdy A. Bayoumi:
A Cost-Effective Self-Healing Approach for Reliable Hardware Systems. ISCAS 2018: 1-5 - [c5]Kasem Khalil, Omar Eldash, Ashok Kumar, Magdy A. Bayoumi:
Flexible Self-Healing Router for Reliable and High-Performance Network-an-Chips Architecture. SoCC 2018: 152-157 - 2017
- [c4]Omar Eldash, Kasem Khalil, Magdy A. Bayoumi:
On on-chip intelligence paradigms. CCECE 2017: 1-6 - [c3]Omar Eldash, Kasem Khalil, Magdy A. Bayoumi:
On reconfigurable fabrics for intelligent hardware systems. ICECS 2017: 136-139 - [c2]Kasem Khalil, Omar Eldash, Magdy A. Bayoumi:
Self-healing router architecture for reliable network-on-chips. ICECS 2017: 330-333 - [c1]Kasem Khalil, Omar K. Eldash, Magdy A. Bayoumi:
A novel approach towards less area overhead self-healing hardware systems. MWSCAS 2017: 1585-1588
Coauthor Index
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