SMART DShot: Secure Machine-Learning-Based Adaptive Real-Time Timing Correction

The exponential growth of autonomous systems demands robust security mechanisms that can operate within the extreme constraints of real-time embedded environments. This paper introduces SMART DShot, a groundbreaking machine learning-enhanced framework that transforms the security landscape of unmann...

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Bibliographic Details
Main Authors: Hyunmin Kim, Zahid Basha Shaik Kadu, Kyusuk Han
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/15/8619
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