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Mohamed El-Sharkawy
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Mohamed El-Sharkawy 0001 (aka: Mohamed A. El-Sharkawy 0001) — Indiana University Purdue University Indianapolis (IUPUI), Department of Electrical and Computer Engineering, IN, USA (and 2 more)
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2020 – today
- 2024
- [j10]Niveen Nasr El-Den, Mohamed El-Sharkawy, Ibrahim Saleh, Mohammed Ghazal, Ashraf Khalil, Mohammad Z. Haq, Ashraf Sewelam, Hani Mahdi, Ayman El-Baz:
AI-based methods for detecting and classifying age-related macular degeneration: a comprehensive review. Artif. Intell. Rev. 57(9): 237 (2024) - [j9]Priyank Kalgaonkar
, Mohamed El-Sharkawy
:
NeXtFusion: Attention-Based Camera-Radar Fusion Network for Improved Three-Dimensional Object Detection and Tracking. Future Internet 16(4): 114 (2024) - [j8]Mohamed El-Sharkawy, Miran Wael, Maggie Mashaly, Eman Azab
:
Re-configurable parallel Feed-Forward Neural Network implementation using FPGA. Integr. 97: 102176 (2024) - [j7]Mohamed El-Sharkawy
, Ahmed Sharafeldeen
, Fahmi Khalifa
, Ahmed Soliman
, Ahmed Elnakib
, Mohammed Ghazal
, Ashraf Sewelam, Aristomenis Thanos, Harpal Singh Sandhu
, Ayman El-Baz
:
A Clinically Explainable AI-Based Grading System for Age-Related Macular Degeneration Using Optical Coherence Tomography. IEEE J. Biomed. Health Informatics 28(4): 2079-2090 (2024) - 2023
- [j6]Niranjan Ravi
, Mohamed El-Sharkawy
:
Addressing the Gaps of IoU Loss in 3D Object Detection with IIoU. Future Internet 15(12): 399 (2023) - [c28]Abhishek Deokar, Mohamed El-Sharkawy:
Deployment of Proposed EfficientNeXt on NXP i.MX 8M Mini. ICICT 2023: 167-170 - 2022
- [j5]Priyank Kalgaonkar
, Mohamed El-Sharkawy
:
NextDet: Efficient Sparse-to-Dense Object Detection with Attentive Feature Aggregation. Future Internet 14(12): 355 (2022) - [j4]Mohamed El-Sharkawy
, Mostafa Elrazzaz
, Ahmed Sharafeldeen
, Marah Talal Alhalabi
, Fahmi Khalifa
, Ahmed Soliman
, Ahmed Elnakib
, Ali Mahmoud
, Mohammed Ghazal
, Eman M. El-Daydamony, Ahmed Atwan
, Harpal Singh Sandhu, Ayman El-Baz
:
The Role of Different Retinal Imaging Modalities in Predicting Progression of Diabetic Retinopathy: A Survey. Sensors 22(9): 3490 (2022) - [c27]Ahmed Sharafeldeen
, Mohamed El-Sharkawy
, Ahmed Shaffie, Fahmi Khalifa, Ahmed Soliman, Ahmed Naglah, R. Khaled, M. M. Hussein, Mohammed F. Alrahmawy, Samir Elmougy, Jawad Yousaf, Mohammed Ghazal
, Ayman El-Baz:
Thyroid Cancer Diagnostic System using Magnetic Resonance Imaging. ICPR 2022: 4365-4370 - [c26]Mohamed El-Sharkawy
, Ahmed Sharafeldeen
, Ahmed Soliman, Fahmi Khalifa, Mohammed Ghazal
, Eman M. El-Daydamony, Ahmed Atwan
, Harpal Singh Sandhu, Ayman El-Baz:
Diabetic Retinopathy Diagnostic CAD System Using 3D-Oct Higher Order Spatial Appearance Model. ISBI 2022: 1-4 - 2021
- [j3]Ahmed Sharafeldeen
, Mohamed El-Sharkawy
, Norah Saleh Alghamdi
, Ahmed Soliman
, Ayman El-Baz
:
Precise Segmentation of COVID-19 Infected Lung from CT Images Based on Adaptive First-Order Appearance Model with Morphological/Anatomical Constraints. Sensors 21(16): 5482 (2021) - [c25]Priyank Kalgaonkar
, Mohamed El-Sharkawy:
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems. CCWC 2021: 524-528 - [c24]Prasham Shah, Mohamed El-Sharkawy:
Image Classification with A-MnasNet and R-MnasNet on NXP Bluebox 2.0. SAI (2) 2021: 781-792 - [i3]Priyank Kalgaonkar, Mohamed El-Sharkawy:
Image Classification with CondenseNeXt for ARM-Based Computing Platforms. CoRR abs/2106.14102 (2021) - [i2]Priyank Kalgaonkar, Mohamed El-Sharkawy:
EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox. CoRR abs/2111.14243 (2021) - [i1]Priyank Kalgaonkar, Mohamed El-Sharkawy:
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded Systems. CoRR abs/2112.00698 (2021) - 2020
- [c23]Maneesh Ayi, Mohamed El-Sharkawy:
RMNv2: Reduced Mobilenet V2 for CIFAR10. CCWC 2020: 287-292 - [c22]Surya Kollazhi Manghat, Mohamed El-Sharkawy:
A Multi Sensor Real-time Tracking with LiDAR and Camera. CCWC 2020: 668-672 - [c21]Ravi Teja N. V. S. Chappa, Mohamed El-Sharkawy:
Squeeze-and-Excitation SqueezeNext: An Efficient DNN for Hardware Deployment. CCWC 2020: 691-697 - [c20]Sree Bala Shruthi Bhamidi, Mohamed El-Sharkawy:
3-Level Residual Capsule Network for Complex Datasets. LASCAS 2020: 1-4 - [c19]Prasham Shah, Mohamed El-Sharkawy:
A-MnasNet: Augmented MnasNet for Computer Vision. MWSCAS 2020: 1044-1047
2010 – 2019
- 2019
- [c18]Dewant Katare
, Mohamed El-Sharkawy:
Embedded System Enabled Vehicle Collision Detection: An ANN Classifier. CCWC 2019: 284-289 - [c17]Durvesh Pathak, Mohamed El-Sharkawy:
Architecturally Compressed CNN: An Embedded Realtime Classifier (NXP Bluebox2.0 with RTMaps). CCWC 2019: 331-336 - [c16]Akash Sunil Gaikwad, Mohamed El-Sharkawy:
Pruning the Convolution Neural Network (SqueezeNet) based on L2 Normalization of Activation Maps. CCWC 2019: 392-396 - [c15]Jayan Kant Duggal, Mohamed El-Sharkawy:
Shallow SqueezeNext: An Efficient & Shallow DNN. ICVES 2019: 1-6 - [c14]Dewant Katare
, Mohamed El-Sharkawy:
Autonomous Embedded System Enabled 3-D Object Detector: (with Point Cloud and Camera). ICVES 2019: 1-6 - [c13]Surya Kollazhi Manghat, Mohamed El-Sharkawy:
Forward Collision Prediction with Online Visual Tracking. ICVES 2019: 1-5 - [c12]Sree Bala Shruthi Bhamidi, Mohamed El-Sharkawy:
Residual Capsule Network. UEMCON 2019: 557-560 - [c11]Niranjan Ravi, Mohamed El-Sharkawy:
Integration of UAVs with Real Time Operating Systems using UAVCAN. UEMCON 2019: 600-605 - 2018
- [c10]Seth Tucker, Mohamed El-Sharkawy:
Sensor Fusion to Detect Scale and Direction of Gravity in Monocular Slam Systems. IECON 2018: 2447-2452 - [c9]Sivateja Reddy Vangimalla, Mohamed El-Sharkawy:
Interoperability Enhancement in Health Care at Remote Locations using Thread Protocol in UAVs. IECON 2018: 2821-2826 - [c8]Akash Sunil Gaikwad, Mohamed El-Sharkawy:
Pruning convolution neural network (squeezenet) using taylor expansion-based criterion. ISSPIT 2018: 1-5 - [c7]Dewant Katare
, Mohamed El-Sharkawy:
Collision warning system: embedded enabled (RTMaps with NXP BLBX2). ISSPIT 2018: 1-6
2000 – 2009
- 2008
- [c6]Mohamed El-Sharkawy:
Motion Vector Search Modified to Reduce Encoding Time in H.264 and VC-1. CATA 2008: 83-89 - [c5]Mohamed El-Sharkawy:
Fast H.264 Video Codec Standard. CATA 2008: 95-101 - [c4]Mohamed El-Sharkawy:
Fast Implementation of VC-1 Video Codec Standard. CATA 2008: 130-135 - 2003
- [c3]Yingjian He, Mohamed El-Sharkawy:
Quantized DCT on H26L Test Model. CATA 2003: 50-54 - 2002
- [c2]Prasanna Parthasarathy, Mohamed El-Sharkawy:
Low-Complexity, Low-Memory Entropy Coder for Image Compression on MSC8102 DSP. CAINE 2002: 61-64
1990 – 1999
- 1999
- [c1]Mohamed El-Sharkawy, Miklos Kara:
Development with Motorola's DSP56800 Processors. SIP 1999: 387-390 - 1996
- [j2]Mohamed El-Sharkawy, Waleed Eshmawy:
A Fast 8 × 8 Pruned DCT Algorithm. Digit. Signal Process. 6(3): 145-154 (1996) - [j1]Brad Meyer, Mohamed El-Sharkawy:
Compression of Stereoscopic Images Using Pyramid and Prune DCT Encoding. Multim. Tools Appl. 3(1): 33-53 (1996)
Coauthor Index
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last updated on 2024-08-14 22:17 CEST by the dblp team
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