When 5G meets deep learning: a systematic review

GL Santos, PT Endo, D Sadok, J Kelner - Algorithms, 2020 - mdpi.com
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 …

Fault detection and classification in Industrial IoT in case of missing sensor data

M Dzaferagic, N Marchetti… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
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 …

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 …

Industrial Internet of Things embedded devices fault detection and classification. A case study

A Garcés-Jiménez, A Rodrigues, JM Gómez-Pulido… - Internet of Things, 2024 - Elsevier
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 …

Industrial Big Data Analytical System in Industrial Cyber-Physical Systems Based on Coarse-to-Fine Deep Network

R Liu, Q Zhang, Y Wang, Z Li, D Chen… - … on Industrial Cyber …, 2023 - ieeexplore.ieee.org
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) …

Sensor data reconstruction in industrial environments with cellular connectivity

C Kalalas, J Alonso-Zarate - 2020 IEEE 31st Annual …, 2020 - ieeexplore.ieee.org
The reliable acquisition of monitoring information is critical for several industrial use cases
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 …

Three-layer approach to detect anomalies in industrial environments based on machine learning

D Gutierrez-Rojas, M Ullah, IT Christou… - … IEEE Conference on …, 2020 - ieeexplore.ieee.org
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 …

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 …

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 …