Mohamed Elhelw
Papers
2
Total Citations
8
H-Index
2
About
No biography available yet.
Research Focus
Artificial intelligence2 · 8 citations
Computer science2 · 8 citations
Exploit2 · 8 citations
Computer security2 · 8 citations
Computer vision1 · 5 citations
Intersection (aeronautics)1 · 5 citations
Object detection1 · 5 citations
Embedded system1 · 5 citations
Detector1 · 5 citations
Drone1 · 5 citations
Engineering1 · 5 citations
Pattern recognition (psychology)1 · 5 citations
Key Achievements
2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Robust real-time pedestrian detection on embedded devices
5 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nile University
Top Papers
- 1Robust real-time pedestrian detection on embedded devices5 citations · 2021
- 2
Key Collaborators
Related papers
- Robust real-time pedestrian detection on embedded devices
- Robust Real-Time Pedestrian Detection on Embedded Devices
- Real-Time Embedded Implementation of Improved Object Detector for Resource-Constrained Devices
- YOLOpeds: efficient real‐time single‐shot pedestrian detection for smart camera applications
- Develop a novel deep learning-based framework using convolutional neural networks for real-time object detection and tracking in embedded systems
Researchers in this area
Labs working in this area
If you're exploring the applied side
Commercial systems in adjacent areas you may find useful as a starting point. This is not a claim that the research here is used in them — academia and industry often move on separate tracks.
- Related commercial systems
SkynodeAuterion
Suggested by topic similarity — not advertising or endorsement.
Not generated yet