Review on deep learning applications in frequency analysis and control of modern power system
The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …
regional power grids in wide area and large scale have led the modern power system to …
Reinforcement learning-based physical cross-layer security and privacy in 6G
Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
[HTML][HTML] Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey
Federated learning (FL) is a promising decentralized deep learning technology, which
allows users to update models cooperatively without sharing their data. FL is reshaping …
allows users to update models cooperatively without sharing their data. FL is reshaping …
Machine learning in real-time internet of things (iot) systems: A survey
Over the last decade, machine learning (ML) and deep learning (DL) algorithms have
significantly evolved and been employed in diverse applications, such as computer vision …
significantly evolved and been employed in diverse applications, such as computer vision …
GA-DCTSP: An intelligent active data processing scheme for UAV-enabled edge computing
J Bai, G Huang, S Zhang, Z Zeng… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the prosperous development of the Internet of Things (IoT), large numbers of IoT
devices have been deployed in many scenarios to perceive the data of surroundings. To …
devices have been deployed in many scenarios to perceive the data of surroundings. To …
A multitask learning-based network traffic prediction approach for SDN-enabled industrial internet of things
With the rapid advance of industrial Internet of Things (IIoT), to provide flexible access for
various infrastructures and applications, software-defined networks (SDNs) have been …
various infrastructures and applications, software-defined networks (SDNs) have been …
Integrate the hierarchical cluster elliptic curve key agreement with multiple secure data transfer modes into wireless sensor networks
HY Lin - Connection Science, 2022 - Taylor & Francis
Since sensor nodes in wireless sensor networks or Internet of things have limited resources,
achieving secure data transmissions among nodes is a challenge. Hence, efficient key …
achieving secure data transmissions among nodes is a challenge. Hence, efficient key …
An evolutionary-based approach for low-complexity intrusion detection in wireless sensor networks
As security threats are increasingly diversified, a critical problem in Wireless Sensor Network
environments (WSNs) is detecting anomalies. WSNs are affected by several limitations, such …
environments (WSNs) is detecting anomalies. WSNs are affected by several limitations, such …
Resource search method of mobile intelligent education system based on distributed hash table
Y Shen, TR Gadekallu - Mobile networks and applications, 2022 - Springer
In order to realize the best matching search of mobile intelligent education system
resources, a resource search method of mobile intelligent education system based on …
resources, a resource search method of mobile intelligent education system based on …
A team-based multitask data acquisition scheme under time constraints in mobile crowd sensing
Mobile Crowd Sensing (MCS) typically assigns sensing tasks in the same target area to
many participants considering data quality and the diversity of sensing devices. However …
many participants considering data quality and the diversity of sensing devices. However …