When machine learning meets privacy in 6G: A survey
The rapid-developing Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …
Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems
The Metaverse is a concept used to refer to a virtual world that exists in parallel to the
physical world. It has grown from a conceptual level to having real applications in virtual …
physical world. It has grown from a conceptual level to having real applications in virtual …
Machine learning and data analytics for the IoT
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …
generating a large amount of data required for intelligent data processing. However, the …
A distributed sensor-fault detection and diagnosis framework using machine learning
SU Jan, YD Lee, IS Koo - Information Sciences, 2021 - Elsevier
The objective of this work is to design a sensor-fault detection and diagnosis system for the
Internet of Things and Cyber-Physical Systems. The challenge is, however, achieving this …
Internet of Things and Cyber-Physical Systems. The challenge is, however, achieving this …
A game-theoretic approach for enhancing security and data trustworthiness in IoT applications
MS Abdalzaher, O Muta - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Wireless sensor networks (WSNs)-based Internet of Things (IoT) are among the fast
booming technologies that drastically contribute to different systems' management and …
booming technologies that drastically contribute to different systems' management and …
Joint 3D trajectory design and time allocation for UAV-enabled wireless power transfer networks
This paper considers a rotary-wing unmanned aerial vehicle (UAV)-enabled wireless power
transfer system, where a UAV is dispatched as an energy transmitter (ET), transferring radio …
transfer system, where a UAV is dispatched as an energy transmitter (ET), transferring radio …
A dynamic Bayesian network based methodology for fault diagnosis of subsea Christmas tree
P Liu, Y Liu, B Cai, X Wu, K Wang, X Wei, C Xin - Applied Ocean Research, 2020 - Elsevier
A subsea Christmas tree (XT) is an extremely important part of a subsea production system.
The safety-fault of subsea XT indicates that no major safety incidents are difficult to …
The safety-fault of subsea XT indicates that no major safety incidents are difficult to …
A machine-learning architecture for sensor fault detection, isolation, and accommodation in digital twins
Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time
raw data into digital twins (DTs). However, sensors might be unreliable due to inherent …
raw data into digital twins (DTs). However, sensors might be unreliable due to inherent …
Toward energy-aware caching for intelligent connected vehicles
With the widespread application of infotainment services in intelligent connected vehicles
(ICVs), network traffic has grown exponentially, bringing huge burden and energy …
(ICVs), network traffic has grown exponentially, bringing huge burden and energy …
A Review of Real-Time Fault Diagnosis Methods for Industrial Smart Manufacturing
W Yan, J Wang, S Lu, M Zhou, X Peng - Processes, 2023 - mdpi.com
In the era of Industry 4.0, highly complex production equipment is becoming increasingly
integrated and intelligent, posing new challenges for data-driven process monitoring and …
integrated and intelligent, posing new challenges for data-driven process monitoring and …