Deep learning-based traffic safety solution for a mixture of autonomous and manual vehicles in a 5G-enabled intelligent transportation system
K Yu, L Lin, M Alazab, L Tan… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
It is expected that a mixture of autonomous and manual vehicles will persist as a part of the
intelligent transportation system (ITS) for many decades. Thus, addressing the safety issues …
intelligent transportation system (ITS) for many decades. Thus, addressing the safety issues …
Edge-enabled two-stage scheduling based on deep reinforcement learning for internet of everything
Nowadays, the concept of Internet of Everything (IoE) is becoming a hotly discussed topic,
which is playing an increasingly indispensable role in modern intelligent applications. These …
which is playing an increasingly indispensable role in modern intelligent applications. These …
Dynamic graph convolutional recurrent imputation network for spatiotemporal traffic missing data
In real-world intelligent transportation systems, the spatiotemporal traffic data collected from
sensors often exhibit missing or corrupted data, significantly hindering the development of …
sensors often exhibit missing or corrupted data, significantly hindering the development of …
Gtxchain: A secure iot smart blockchain architecture based on graph neural network
With the expansion of scale, the Internet of Things (IoT) suffers more and more security
threats, and vulnerability and sensitivity to attacks are also increasing. As a distributed and …
threats, and vulnerability and sensitivity to attacks are also increasing. As a distributed and …
Causal knowledge fusion for 3D cross-modality cardiac image segmentation
Abstract Three-dimensional (3D) cross-modality cardiac image segmentation is critical for
cardiac disease diagnosis and treatment. However, it confronts the challenge of modality …
cardiac disease diagnosis and treatment. However, it confronts the challenge of modality …
Reputation-aware supplier assessment for blockchain-enabled supply chain in industry 4.0
X Xu, J Gu, H Yan, W Liu, L Qi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In Industry 4.0, the development of intelligent supply chains is the key to improving
enterprise efficiency and customer satisfaction. At present, the strategy with blockchain to …
enterprise efficiency and customer satisfaction. At present, the strategy with blockchain to …
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 …
Uav-assisted task offloading for iot in smart buildings and environment via deep reinforcement learning
J Xu, D Li, W Gu, Y Chen - Building and Environment, 2022 - Elsevier
With the rapid development of Internet of Things (IoT) techniques, IoT devices with sensors
have been widely deployed and used in smart buildings and environment, and the …
have been widely deployed and used in smart buildings and environment, and the …
Time-aware missing healthcare data prediction based on ARIMA model
L Kong, G Li, W Rafique, S Shen, Q He… - … ACM transactions on …, 2022 - ieeexplore.ieee.org
Healthcare uses state-of-the-art technologies (such as wearable devices, blood glucose
meters, electrocardiographs), which results in the generation of large amounts of data …
meters, electrocardiographs), which results in the generation of large amounts of data …
A knowledge-driven anomaly detection framework for social production system
In the social production system, image data are rapidly generated from almost all fields such
as factories, hospitals, and transportation, promoting higher requirements for image anomaly …
as factories, hospitals, and transportation, promoting higher requirements for image anomaly …