Real-time mask identification for COVID-19: An edge-computing-based deep learning framework
During the outbreak of the Coronavirus disease 2019 (COVID-19), while bringing various
serious threats to the world, it reminds us that we need to take precautions to control the …
serious threats to the world, it reminds us that we need to take precautions to control the …
An advanced intrusion detection system for IIoT based on GA and tree based algorithms
SM Kasongo - IEEE Access, 2021 - ieeexplore.ieee.org
The evolution of the Internet and cloud-based technologies have empowered several
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …
Variational transformer-based anomaly detection approach for multivariate time series
X Wang, D Pi, X Zhang, H Liu, C Guo - Measurement, 2022 - Elsevier
Due to the strategic importance of satellites, the safety and reliability of satellites have
become more important. Sensors that monitor satellites generate lots of multivariate time …
become more important. Sensors that monitor satellites generate lots of multivariate time …
Application of a dynamic line graph neural network for intrusion detection with semisupervised learning
G Duan, H Lv, H Wang, G Feng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deep learning (DL) greatly enhances binary anomaly detection capabilities through effective
statistical network characterization; nevertheless, the intrusion class differentiation …
statistical network characterization; nevertheless, the intrusion class differentiation …
PSSPR: a source location privacy protection scheme based on sector phantom routing in WSNs
Source location privacy (SLP) protection is an emerging research topic in wireless sensor
networks. Because the source location represents the valuable information of the target …
networks. Because the source location represents the valuable information of the target …
Semi-supervised spatiotemporal deep learning for intrusions detection in IoT networks
M Abdel-Basset, H Hawash… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) technologies has generated a huge amount
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …
Fedvcp: A federated-learning-based cooperative positioning scheme for social internet of vehicles
X Kong, H Gao, G Shen, G Duan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent vehicle applications, such as autonomous driving and collision avoidance, put
forward a higher demand for precise positioning of vehicles. The current widely used global …
forward a higher demand for precise positioning of vehicles. The current widely used global …
Fabric defect detection in textile manufacturing: a survey of the state of the art
C Li, J Li, Y Li, L He, X Fu, J Chen - Security and …, 2021 - Wiley Online Library
Defects in the textile manufacturing process lead to a great waste of resources and further
affect the quality of textile products. Automated quality guarantee of textile fabric materials is …
affect the quality of textile products. Automated quality guarantee of textile fabric materials is …
Integrated generative model for industrial anomaly detection via bidirectional LSTM and attention mechanism
For emerging industrial Internet of Things (IIoT), intelligent anomaly detection is a key step to
build smart industry. Especially, explosive time-series data pose enormous challenges to the …
build smart industry. Especially, explosive time-series data pose enormous challenges to the …
A federated learning-based license plate recognition scheme for 5G-enabled internet of vehicles
License plate is an essential characteristic to identify vehicles for the traffic management,
and thus, license plate recognition is important for Internet of Vehicles. Since 5G has been …
and thus, license plate recognition is important for Internet of Vehicles. Since 5G has been …