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 …
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 …
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
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 …
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 …
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
With the potential of implementing computing-intensive applications, edge computing is
combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance …
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 …
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
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 …
(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
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 …
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
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 …
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
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 …
the Internet of Things (IoT) network by dividing the large-scale complex sensing tasks into …