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 …

Edge-enabled two-stage scheduling based on deep reinforcement learning for internet of everything

X Zhou, W Liang, K Yan, W Li, I Kevin… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
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 …

Dynamic graph convolutional recurrent imputation network for spatiotemporal traffic missing data

X Kong, W Zhou, G Shen, W Zhang, N Liu… - Knowledge-Based …, 2023 - Elsevier
In real-world intelligent transportation systems, the spatiotemporal traffic data collected from
sensors often exhibit missing or corrupted data, significantly hindering the development of …

Gtxchain: A secure iot smart blockchain architecture based on graph neural network

J Cai, W Liang, X Li, K Li, Z Gui… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
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 …

Causal knowledge fusion for 3D cross-modality cardiac image segmentation

S Guo, X Liu, H Zhang, Q Lin, L Xu, C Shi, Z Gao… - Information …, 2023 - Elsevier
Abstract Three-dimensional (3D) cross-modality cardiac image segmentation is critical for
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 …

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 …

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 …

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 …

A knowledge-driven anomaly detection framework for social production system

Z Li, X Xu, T Hang, H **ang, Y Cui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …