Temporal data, notably time series and spatio-temporal data, are prevalent in real-world applications. They capture dynamic system measurements and are produced in vast …
Y Lin, X Na, D Wang, X Dai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The logistics and transportation industry has made significant progress in improving sustainability, efficiency, and accessibility, primarily due to the continuous development of …
Z Jing, L Li, Y Lyu, R Wang, Y Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The emergence of intelligent vehicles brings unique opportunities for the service industry. This study introduces the concept of autonomous services, a new service paradigm, and …
Data trading has been hindered by privacy concerns associated with user-owned data and the infinite reproducibility of data, making it challenging for data owners to retain exclusive …
Y Yu, S Yao, K Wang, Y Chen… - … on Systems, Man, and …, 2023 - ieeexplore.ieee.org
The imbalance between the supply and demand of healthcare resources is a global challenge, which is particularly severe in developing countries. Governments and academic …
C Li, F Liu, B Wang, X Tang, J Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this article, we investigate the problem of optimizing the joint offloading policy in a distributed manner for multiple intelligent vehicles (IVs). During the journey in vehicular …
Y Yu, S Yao, T Zhou, Y Fu, J Yu, D Wang… - 2024 IEEE Intelligent …, 2024 - ieeexplore.ieee.org
In the digital era, data has become a pivotal asset, advancing technologies such as autonomous driving. Despite this, data trading faces challenges like the absence of robust …
Z Zhu, Y Zhao, B Chen, S Qiu, K Xu, Q Yin… - arXiv preprint arXiv …, 2024 - arxiv.org
The transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 brings new requirements and opportunities to current sensing approaches, especially in light of recent …