Explainable AI-Based Intrusion Detection Systems for IoT Environments: A Systematic Literature Review. [PDF]
Varol M, Karakaya A.
europepmc +1 more source
DeepSense: An Adaptive Scalable Ensemble Framework for Industrial IoT Anomaly Detection. [PDF]
Firouzi A, Ghorbani AA.
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A quantum fuzzy logic-enhanced evolutionary framework for energy-latency optimization in 6G Edge-IioT. [PDF]
Rashidi SS +3 more
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Manufacturing companies are increasingly using digital technologies to collect and useproduction data. Through the Industrial Internet of Things, IIoT, machines, systems and sensorscan be connected to enable monitoring, follow-up and improvement work.
openaire +1 more source
ZT-RIASE: Zero Trust-resilient identity attestation for securing smart industrial IoT environment. [PDF]
Verma R +4 more
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Distributed trust-driven intelligence for edge-level prediction in mobile industrial internet of things. [PDF]
Jan Z +4 more
europepmc +1 more source
GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT. [PDF]
Wang Z, Yuan X, Chen J.
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Uncertainty-resilient control of large-scale industrial IoT networks via learning-guided fuzzy intelligence. [PDF]
Duan C, Wang Y, Zhang P, Li S, Luo S.
europepmc +1 more source
A quantum multi-sensor data fusion self-supervised learning framework for IIoT anomaly detection. [PDF]
Guo Y +5 more
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