Deep learning for time-series prediction in IIoT: progress, challenges, and prospects
Time-series prediction plays a crucial role in the Industrial Internet of Things (IIoT) to enable
intelligent process control, analysis, and management, such as complex equipment …
intelligent process control, analysis, and management, such as complex equipment …
[HTML][HTML] On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review
Abstract Machine learning (ML) has recently enabled many modeling tasks in design,
manufacturing, and condition monitoring due to its unparalleled learning ability using …
manufacturing, and condition monitoring due to its unparalleled learning ability using …
Deep learning-enabled anomaly detection for IoT systems
Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …
industries and government services. Unfortunately, IoT devices and networks are known to …
Gtxchain: A secure iot smart blockchain architecture based on graph neural network
With the expansion of scale, the Internet of Things (IoT) suffers more and more security
threats, and vulnerability and sensitivity to attacks are also increasing. As a distributed and …
threats, and vulnerability and sensitivity to attacks are also increasing. As a distributed and …
[HTML][HTML] Digital twins for building industrial metaverse
Introduction The concept of the metaverse, a virtual world where users can interact with a
computer-generated environment, has received significant attention recently. Objectives …
computer-generated environment, has received significant attention recently. Objectives …
Improving commute experience for private car users via blockchain-enabled multitask learning
With deepening urbanization and Internet of Vehicles (IoV) applications, the number of
private cars has been increasing in recent years. However, because the surging number of …
private cars has been increasing in recent years. However, because the surging number of …
A robust deep learning framework based on spectrograms for heart sound classification
Heart sound analysis plays an important role in early detecting heart disease. However,
manual detection requires doctors with extensive clinical experience, which increases …
manual detection requires doctors with extensive clinical experience, which increases …
DANTD: A deep abnormal network traffic detection model for security of industrial internet of things using high-order features
G Shi, X Shen, F **ao, Y He - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the development of blockchain, artificial intelligence, and data mining technology,
abnormal network traffic data has become easy to obtain. The traffic detection model detects …
abnormal network traffic data has become easy to obtain. The traffic detection model detects …
A deep neural collaborative filtering based service recommendation method with multi-source data for smart cloud-edge collaboration applications
W Lin, M Zhu, X Zhou, R Zhang, X Zhao… - Tsinghua Science …, 2023 - ieeexplore.ieee.org
Service recommendation provides an effective solution to extract valuable information from
the huge and ever-increasing volume of big data generated by the large cardinality of user …
the huge and ever-increasing volume of big data generated by the large cardinality of user …
Blockchain-assisted server placement with elitist preserved genetic algorithm in edge computing
The distribution of edge resources in the edge computing (EC) environment has an
important impact on the Quality of Service (QoS) of edge services. Unreasonable server …
important impact on the Quality of Service (QoS) of edge services. Unreasonable server …