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What is Real-Time IoT Systems and Machine Learning about?

This survey explores the integration of machine learning (ML) and deep learning (DL) in real-time Internet of Things (IoT) systems, highlighting the challenges of adapting these technologies to meet strict timing and safety requirements. It reviews existing research on ML algorithm adaptation, schedulability analysis, and security concerns, while categorizing the works into four main directions. The paper also discusses the complexities of scheduling in heterogeneous hardware environments and proposes poten

Author

yousafkaleem510

Language

EN