September 20, 2025

Adaptive AI Architectures for Autonomous Systems: A Hybrid Deep Learning Framework

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This research demonstrates the potential of driver assistance systems in connected and autonomous vehicles, highlighting their impact on road safety.

The study reveals that adaptive AI architectures improve safety features in connected and autonomous vehicles, reducing road fatalities.
Findings indicate that driver assistance systems significantly contribute to minimizing human error during driving.
Assessment of various deep learning frameworks shows their effectiveness in enhancing the performance of autonomous systems.
The research highlights potential vulnerabilities in connected and autonomous vehicles, pointing to the need for improved security measures.

Prabu et al. (2024) studied this question.

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This research demonstrates the potential of driver assistance systems in connected and autonomous vehicles, highlighting their impact on road safety.