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AI for next generation computing: Emerging trends and future directions
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …
outcomes on their own, without the intervention of a human operator. Autonomic computing …
Edge computing in industrial internet of things: Architecture, advances and challenges
The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of
Things (IoT). IIoT links all types of industrial equipment through the network; establishes data …
Things (IoT). IIoT links all types of industrial equipment through the network; establishes data …
[HTML][HTML] Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature
Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …
Indoor intelligent fingerprint-based localization: Principles, approaches and challenges
With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …
have been widely applied in the construction of smart cities. Satellite-based location …
Disaster and pandemic management using machine learning: a survey
This article provides a literature review of state-of-the-art machine learning (ML) algorithms
for disaster and pandemic management. Most nations are concerned about disasters and …
for disaster and pandemic management. Most nations are concerned about disasters and …
Caching in vehicular named data networking: Architecture, schemes and future directions
The TCP/IP stack plays an important role in terms of data transmission, traffic control and
address assignment in the Internet of Vehicles (IoV), which has seen phenomenal growth in …
address assignment in the Internet of Vehicles (IoV), which has seen phenomenal growth in …
A real-time collision prediction mechanism with deep learning for intelligent transportation system
Rear-end collision prediction has gained an increasing attention for safety improvement in
smart cities. It is urgent to design efficient warning strategies for rear-end collisions which is …
smart cities. It is urgent to design efficient warning strategies for rear-end collisions which is …
A secure and efficient data sharing scheme based on blockchain in industrial Internet of Things
Blockchain possesses potential for enabling secure data sharing of industrial big data
generated by the Industrial Internet of Things (IIoT). However, the existing data-sharing …
generated by the Industrial Internet of Things (IIoT). However, the existing data-sharing …
CMAB-based reverse auction for unknown worker recruitment in mobile crowdsensing
M **ao, B An, J Wang, G Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile CrowdSensing (MCS), through which a requester can coordinate a crowd of workers
to accomplish some data collection tasks, has been recognized as a promising paradigm for …
to accomplish some data collection tasks, has been recognized as a promising paradigm for …
BLS-location: A wireless fingerprint localization algorithm based on broad learning
With the rapid growth in the demand for location-based services in indoor environments,
wireless fingerprint localization has attracted increasing attention because of its high …
wireless fingerprint localization has attracted increasing attention because of its high …