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When 5G meets deep learning: a systematic review
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …
Fault detection and classification in Industrial IoT in case of missing sensor data
This article addresses the issue of reliability in the Industrial Internet of Things (IIoT) in case
of missing sensors measurements due to network or hardware problems. We propose to …
of missing sensors measurements due to network or hardware problems. We propose to …
Power transformer fault diagnosis system based on Internet of Things
G Wang, Y Liu, X Chen, Q Yan, H Sui, C Ma… - Eurasip Journal on …, 2021 - Springer
Transformer is the most important equipment in the power system. The research and
development of fault diagnosis technology for Internet of Things equipment can effectively …
development of fault diagnosis technology for Internet of Things equipment can effectively …
Industrial Internet of Things embedded devices fault detection and classification. A case study
Industries transition to the Industry 4.0 paradigm requires solutions based on devices
attached to machines that allow monitoring and control of industrial equipment. Monitoring is …
attached to machines that allow monitoring and control of industrial equipment. Monitoring is …
Industrial Big Data Analytical System in Industrial Cyber-Physical Systems Based on Coarse-to-Fine Deep Network
In smart factories, there have been increasing requirements for industrial Big Data analysis
of complex systems. With the rapid development of industrial cyber-physical systems (ICPS) …
of complex systems. With the rapid development of industrial cyber-physical systems (ICPS) …
Sensor data reconstruction in industrial environments with cellular connectivity
The reliable acquisition of monitoring information is critical for several industrial use cases
relying on wireless sensor network deployments. However, missing sensor measurements …
relying on wireless sensor network deployments. However, missing sensor measurements …
Context-aware Kubernetes scheduler for edge-native applications on 5G
M Chima Ogbuachi, A Reale, P Suskovics… - … software and systems, 2020 - hrcak.srce.hr
Sažetak This paper is an extension of work originally presented in SoftCOM 2019 [1]. The
novelty of this work reside in its focused improvement of our scheduling algorithm towards its …
novelty of this work reside in its focused improvement of our scheduling algorithm towards its …
Three-layer approach to detect anomalies in industrial environments based on machine learning
This paper introduces a general approach to design a tailored solution to detect rare events
in different industrial applications based on Internet of Things (IoT) networks and machine …
in different industrial applications based on Internet of Things (IoT) networks and machine …
Security of deep learning models in 5G networks: Proposition of security assessment process
A Ftaimi, T Mazri - … , Intelligent Systems and Security: Proceedings of NISS …, 2021 - Springer
Abstract 5G networks bring a new design paradigm that will revolutionize
telecommunications and other sectors, such as industry 4.0, smart cities, and autonomous …
telecommunications and other sectors, such as industry 4.0, smart cities, and autonomous …
An Efficient Lightweight Anomaly Detection for 5G Core Network
TQ Vinh, DV Quan, TT Huong - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Viettel's 5GC network, which controls and manages mobile network services, is crucial for
the operation of the its own telecommunications system. Any fault in the core can cause …
the operation of the its own telecommunications system. Any fault in the core can cause …