Results 101 to 110 of about 95,408 (180)

Edge Intelligence-Driven Bearing Fault Diagnosis: A Lightweight Anti-Noise Diagnostic Framework. [PDF]

Sensors (Basel)
Lin X, Wang W, Peng X, Zhang B, Liu L.
europepmc   +1 more source

Dynamic QoS/QoE-aware reliable service composition framework for edge intelligence. [PDF]

Cluster Comput, 2022
Hayyolalam V, Otoum S, Özkasap Ö.
europepmc   +1 more source

Lightweight and interpretable edge intelligence AI with intrusion detection for trustworthy cardiac arrhythmia in medical IoT. [PDF]

Sci Rep
Khalid MI, Hussain A, Hussain N, Alkhalifah T.   +3 more
europepmc   +1 more source

Hallucination-aware learning and latency optimization transformer (HALL-OPT) for real-time edge intelligence. [PDF]

Sci Rep
Algawiaz D.
europepmc   +1 more source

Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution. [PDF]

Sensors (Basel), 2022
Bilal K, Shuja J, Erbad A, Alasmary W, Alanazi E, Alourani A.   +5 more
europepmc   +1 more source

Photonic edge intelligence chip for multi-modal sensing, inference and learning. [PDF]

Nat Commun
Zhang S, Jiang X, Wu B, Zhou H, Xu W, Zhou H, Ruan Z, Dong J, Zhang X.   +8 more
europepmc   +1 more source

Causal deep learning for enhancing explainability in 6G network edge intelligence anomaly detection. [PDF]

Sci Rep
Yi X, Zeng Z, Dai M, Kang A, Liu X, Liu Y.   +5 more
europepmc   +1 more source

Key Technologies for Collaborative Inference in Edge Intelligence Computing

Dianxin kexue
This paper provided an in-depth analysis of the implementation logic of edge collaborative intelligent computing technologies in edge computing networks. Focusing on the latency and inference quality requirements of edge collaborative inference tasks, it
ZHANG Zhihan, ZHANG Tiankui, DANG Meimei, CHENG Weiqiang   +3 more
doaj  

Autonomous vehicles with augmented reality internet of things and edge intelligence system for industry 5.0 based on 6G. [PDF]

PLoS One
Ahmed AA, Kadhim AK, Hasan MK, Al-Ghuribi SM, Hamed Abd D, Aliesawi SA, Hezam Murshed BA, Topham L, Khan W, Hussain AJ.   +9 more
europepmc   +1 more source

LightEdu-Net: Noise-Resilient Multimodal Edge Intelligence for Student-State Monitoring in Resource-Limited Environments. [PDF]

Sensors (Basel)
Huang C, Chen Y, Zhou B, Cai X, Zhai Z, Zhang J, Zhan Y.   +6 more
europepmc   +1 more source