Zobrazeno 1 - 10
of 2 655
pro vyhledávání: '"A Kezhong"'
Publikováno v:
Shanghai yufang yixue, Vol 35, Iss 12, Pp 1206-1211 (2023)
ObjectiveTo understand the current status of primary healthcare workers’ knowledge of hepatitis B and their willingness to engage in non-discriminatory behaviors， to explore the factors influencing their willingness， and to provide a basis for
Externí odkaz:
https://doaj.org/article/93c0a0b799c346ecab5658c3432fce29
Handling long tail corner cases is a major challenge faced by autonomous vehicles (AVs). While large language models (LLMs) hold great potentials to handle the corner cases with excellent generalization and explanation capabilities and received incre
Externí odkaz:
http://arxiv.org/abs/2407.17211
Complementary to prevalent LiDAR and camera systems, millimeter-wave (mmWave) radar is robust to adverse weather conditions like fog, rainstorms, and blizzards but offers sparse point clouds. Current techniques enhance the point cloud by the supervis
Externí odkaz:
http://arxiv.org/abs/2404.17229
Autor:
Li, Guanghua, Lu, Wensheng, Zhang, Wei, Lian, Defu, Lu, Kezhong, Mao, Rui, Shu, Kai, Liao, Hao
The proliferation of fake news has had far-reaching implications on politics, the economy, and society at large. While Fake news detection methods have been employed to mitigate this issue, they primarily depend on two essential elements: the quality
Externí odkaz:
http://arxiv.org/abs/2403.09747
Vessel trajectory clustering, which aims to find similar trajectory patterns, has been widely leveraged in overwater applications. Most traditional methods use predefined rules and thresholds to identify discrete vessel behaviors. They aim for high-q
Externí odkaz:
http://arxiv.org/abs/2403.08838
Major challenges of assisting passengers to safely and quickly escape from ships when an emergency occurs, include complex realistic features such as human behavior uncertainty, dynamic human traversal times, and the computation and communication del
Externí odkaz:
http://arxiv.org/abs/2306.14241
Publikováno v:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2023
Explainable recommendation is a technique that combines prediction and generation tasks to produce more persuasive results. Among these tasks, textual generation demands large amounts of data to achieve satisfactory accuracy. However, historical user
Externí odkaz:
http://arxiv.org/abs/2306.12657
In the Internet-of-Things (IoT), massive sensitive and confidential information is transmitted wirelessly, making security a serious concern. This is particularly true when technologies, such as non-orthogonal multiple access (NOMA), are used, making
Externí odkaz:
http://arxiv.org/abs/2302.05645
Uncertainty quantification on small angle x-ray scattering measurement using Bayesian deep learning.
Publikováno v:
Journal of Applied Physics; 10/14/2024, Vol. 136 Issue 14, p1-10, 10p
Publikováno v:
In Journal of Alloys and Compounds 25 November 2024 1006