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What is Hybrid AI for Autonomous IoT Systems about?

This PhD thesis presents a middleware-based hybrid AI approach for enabling autonomous IoT systems to self-adapt in dynamic environments. It focuses on maintaining Quality-of-Service (QoS) requirements through a combination of queueing network modeling, AI-driven adaptation, and causal reinforcement learning. The proposed solutions aim to enhance the resilience and performance of IoT systems in smart spaces by allowing them to autonomously adjust to changing conditions.

Author

laifaam43

Language

EN