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Mohamed A. Abdelwahab
Observed names:
M.A. Abdelwahab,
Mohamed A. Abdel-Wahab,
Mohamed A. AbdelWahab,
Mohamed Abdelwahab
Institution:
Aswan University
Observed institutions:
Kyushu University,
South Valley University,
King Saud University,
Egypt-Japan University of Science and Technology,
Aswan University
ORCID:
0000-0001-8575-6648
Observed ORCID:
0000-0001-8575-6648
OpenAlex ID:
A5033355304
Accurate Vehicle Counting Approach Based on Deep Neural Networks
2019
·
Mohamed A. Abdelwahab
·
International Conference on Innovative Trends in Computer Engineering (ITCE)
·
49
Fast approach for efficient vehicle counting
2018
·
M.A. Abdelwahab
·
Electronics Letters
·
33
An Efficient Vehicle Counting Method Using Mask R-CNN
2020
·
Zaynab Al-Ariny
, Mohamed A. Abdelwahab
, et al.
·
International Conference on Innovative Trends in Computer Engineering (ITCE)
·
22
Reliable and Rapid Traffic Congestion Detection Approach Based on Deep Residual Learning and Motion Trajectories
2020
·
Mohamed A. Abdelwahab
, Mohamed Abdel-Nasser
, et al.
·
IEEE Access
·
21
PDF
A Novel Algorithm for Vehicle Detection and Tracking in Airborne Videos
2015
·
Mohamed A. Abdelwahab
, Moataz M. Abdelwahab
·
IEEE International Symposium on Multimedia (ISM)
·
17
Corresponding regions for shadow restoration in satellite high-resolution images
2018
·
Yasser Mostafa
, Mohamed A. Abdelwahab
·
International Journal of Remote Sensing
·
14
Efficient and Fast Traffic Congestion Classification Based on Video Dynamics and Deep Residual Network
2020
·
Mohamed A. Abdelwahab
, Mohamed Abdel-Nasser
, et al.
·
Communications in computer and information science
·
13
Matching Tumour Candidate Points in Multiple Mammographic Views for Breast Cancer Detection
2019
·
Mohamed Abdel-Nasser
, Antonio Moreno
, et al.
·
International Conference on Innovative Trends in Computer Engineering (ITCE)
·
13
Mining visual complexity of images based on an enhanced feature space representation
2013
·
Abdullah M. Iliyasu
, Awad Kh. Al-Asmari
, et al.
·
IEEE International Symposium on Intelligent Signal Processing,
·
6
Measuring “Nigiwai” From Pedestrian Movement
2021
·
Mohamed A. Abdelwahab
, Shizuo Kaji
, et al.
·
IEEE Access
·
5
PDF
Video Object Segmentation Based on Superpixel Trajectories
2016
·
Mohamed A. Abdelwahab
, Moataz M. Abdelwahab
, et al.
·
Lecture notes in computer science
·
5
A novel robust watermarking scheme for copyright-proving
2009
·
Mohamed A. Abdel-Wahab
, Hany Selim
, et al.
·
International Conference on Computer Engineering & Systems (ICCES)
·
5
Intelligent ROI-Based Vehicle Counting Framework for Automated Traffic Monitoring
2025
·
Mohamed A. Abdelwahab
, Zaynab Al-Ariny
, et al.
·
Signal Image and Video Processing
·
4
PDF
Leveraging the Potency of CNN for Efficient Assessment of Visual Complexity of Images
2019
·
Mohamed A. Abdelwahab
, Abdullah M. Iliyasu
, et al.
·
International Conference on Image Processing Theory, Tools and Applications (IPTA)
·
4
Human action recognition and analysis algorithm for fixed and moving cameras
2015
·
M.A. Abdelwahab
, M.M. Abdelwahab
·
Electronics Letters
·
4
Human action recognition based on two-view optical flow in the transformed domain
2014
·
Mohamed A. Abdelwahab
, Moataz M. Abdelwahab
·
IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
·
1
Review of Deep Learning Methods and Applications
2026
·
Aya Hashem Zaatar
, Ayat Ali Saleh
, et al.
·
International Journal of Applied Energy Systems
Monitoring pedestrian walking dynamics under environmental and policy influences in urban spaces
2026
·
Mohamed A. Abdelwahab
, Shizuo Kaji
, et al.
·
Computational Urban Science
PDF
Efficient Traffic Congestion Classification for Edge-AI Applications
2026
·
Mohamed A. Abdelwahab
·
SVU-International Journal of Engineering Sciences and Applications
Robust Traffic Congestion Recognition in Videos Based on Deep Multi-Stream LSTM
2022
·
Mohamed Abdelwahab
·
SVU-International Journal of Engineering Sciences and Applications
PDF
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Works count:
20
Citation count:
216
H-index:
8
I10-index:
8
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