Digital twin—Cyber replica of physical things: Architecture, applications and future research directions
The Internet of Things (IoT) connects massive smart devices to collect big data and carry out
the monitoring and control of numerous things in cyber-physical systems (CPS). By …
the monitoring and control of numerous things in cyber-physical systems (CPS). By …
Digital twin-supported smart city: Status, challenges and future research directions
A city can be considered a carrier of multiple sources of data and information that are
updated in real time and experiences continuous operation and development. Therefore, a …
updated in real time and experiences continuous operation and development. Therefore, a …
Machine learning for security and the internet of things: the good, the bad, and the ugly
The advancement of the Internet of Things (IoT) has allowed for unprecedented data
collection, automation, and remote sensing and actuation, transforming autonomous …
collection, automation, and remote sensing and actuation, transforming autonomous …
WSCC: A weight-similarity-based client clustering approach for non-IID federated learning
The fast development of the Internet of Things (IoT) and deep learning enables learning
useful patterns from the massive amount of collected data with sporadic nodes in IoT …
useful patterns from the massive amount of collected data with sporadic nodes in IoT …
Survey of graph neural networks and applications
The advance of deep learning has shown great potential in applications (speech, image,
and video classification). In these applications, deep learning models are trained by …
and video classification). In these applications, deep learning models are trained by …
Towards efficient and intelligent internet of things search engine
The Internet of Things (IoT) has created a novel ecosystem for sensing and actuation
throughout our world, enabling intelligently controlled autonomous systems to conserve …
throughout our world, enabling intelligently controlled autonomous systems to conserve …
Toward Deep Q-Network-Based Resource Allocation in Industrial Internet of Things
With the increasing adoption of Industrial Internet-of-Things (IIoT) devices, infrastructures,
and supporting applications, it is critical to design schemes to effectively allocate resources …
and supporting applications, it is critical to design schemes to effectively allocate resources …
[HTML][HTML] Towards multi-party targeted model poisoning attacks against federated learning systems
The federated learning framework builds a deep learning model collaboratively by a group
of connected devices via only sharing local parameter updates to the central parameter …
of connected devices via only sharing local parameter updates to the central parameter …
Data reduction model for balancing indexing and securing resources in the internet-of-things applications
M Younan, M Elhoseny, AEMA Ali… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Evolution of the Internet of Things (IoT) makes a revolution in connecting, monitoring,
controlling, and managing things, objects, and almost surroundings through the Internet. To …
controlling, and managing things, objects, and almost surroundings through the Internet. To …
Internet of Things data collection using unmanned aerial vehicles in infrastructure free environments
With the immensity of distributed Internet of Things (IoT) devices and the exponential
increase in data generated from a variety of IoT-driven smart-world applications, how to …
increase in data generated from a variety of IoT-driven smart-world applications, how to …