A data-driven auto-CNN-LSTM prediction model for lithium-ion battery remaining useful life

L Ren, J Dong, X Wang, Z Meng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Integration of each aspect of the manufacturing process with the new generation of
information technology such as the Internet of Things, big data, and cloud computing makes …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

Intelligent small object detection for digital twin in smart manufacturing with industrial cyber-physical systems

X Zhou, X Xu, W Liang, Z Zeng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recently, along with several technological advancements in cyber-physical systems, the
revolution of Industry 4.0 has brought in an emerging concept named digital twin (DT), which …

Privacy-aware data fusion and prediction with spatial-temporal context for smart city industrial environment

L Qi, C Hu, X Zhang, MR Khosravi… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As one of the cyber–physical–social systems that plays a key role in people's daily activities,
a smart city is producing a considerable amount of industrial data associated with …

Service offloading with deep Q-network for digital twinning-empowered internet of vehicles in edge computing

X Xu, B Shen, S Ding, G Srivastava… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the potential of implementing computing-intensive applications, edge computing is
combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance …

Cloud-edge orchestration for the Internet of Things: Architecture and AI-powered data processing

Y Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …

Cloud–edge-based lightweight temporal convolutional networks for remaining useful life prediction in iiot

L Ren, Y Liu, X Wang, J Lü… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT), as an important industrial branch of the Internet of Things
(IoT), has an essential purpose to improve intelligent industrial production. For this purpose …

An UAV-enabled intelligent connected transportation system with 6G communications for internet of vehicles

R Liu, A Liu, Z Qu, NN **ong - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
6G networks provide faster communication for connected vehicles. These vehicles are
connected to the Internet, forming the Internet of Vehicles (IoV). Due to the development of …

Deep reinforcement learning for blockchain in industrial IoT: A survey

Y Wu, Z Wang, Y Ma, VCM Leung - Computer Networks, 2021 - Elsevier
With the ambitious plans of renewal and expansion of industrialization in many countries,
the efficiency, agility and cost savings potentially resulting from the application of industrial …

A privacy-protected intelligent crowdsourcing application of IoT based on the reinforcement learning

Y Ren, W Liu, A Liu, T Wang, A Li - Future generation computer systems, 2022 - Elsevier
The crowdsourcing scheme emerges as a promising solution for data-based application in
the Internet of Things (IoT) network by dividing the large-scale complex sensing tasks into …