Afef Benjemma
Papers
1
Total Citations
2
H-Index
1
About
Dr. Afef Benjemma is a researcher specializing in intelligent control systems, artificial neural networks, and autonomous robotics. Her work focuses on leveraging neural network architectures for real-time navigation and control, particularly in lane-following systems for autonomous vehicles. In her notable 2012 study, "Implementations Approches of Neural Networks Lane Following System," she explored how neural networks can enhance processing speed, adaptability, and robustness in robotic control—a foundational contribution to the field of autonomous driving. Though her most-cited paper has garnered 2 citations, its early focus on neural network-based control anticipated the rapid growth of deep learning in robotics. Dr. Benjemma’s research underscores the potential of adaptive, learning-based approaches to improve vehicle autonomy and safety. Her work remains relevant for students and researchers interested in the intersection of neural networks, control theory, and autonomous systems, highlighting the enduring value of foundational studies in emerging technologies.
Research Focus
Key Achievements
Top Papers
- 1Implementations Approches of Neural Networks Lane Following System2 citations · 2012