Zobrazeno 1 - 10
of 2 482
pro vyhledávání: '"ZHANG Jinghui"'
Publikováno v:
中西医结合护理, Vol 9, Iss 11, Pp 185-191 (2023)
Objective To investigate the compliance with wearing hospital gown and its influencing factors among inpatients in a certain third-grade class-A hospital in Changsha, and provide reference for improving the quality of basic nursing. Methods Totally 3
Externí odkaz:
https://doaj.org/article/3c1459c405cd433da89599654dd62ab6
Autor:
Huang, Wenbo, Zhang, Jinghui, Li, Guang, Zhang, Lei, Wang, Shuoyuan, Dong, Fang, Jin, Jiahui, Ogawa, Takahiro, Haseyama, Miki
In few-shot action recognition (FSAR), long sub-sequences of video naturally express entire actions more effectively. However, the high computational complexity of mainstream Transformer-based methods limits their application. Recent Mamba demonstrat
Externí odkaz:
http://arxiv.org/abs/2412.07481
Sentiment analysis and emotion recognition are crucial for applications such as human-computer interaction and depression detection. Traditional unimodal methods often fail to capture the complexity of emotional expressions due to conflicting signals
Externí odkaz:
http://arxiv.org/abs/2412.08049
Predicting crime hotspots in a city is a complex and critical task with significant societal implications. Numerous spatiotemporal correlations and irregularities pose substantial challenges to this endeavor. Existing methods commonly employ fixed-ti
Externí odkaz:
http://arxiv.org/abs/2411.01134
Publikováno v:
Waike lilun yu shijian, Vol 26, Iss 01, Pp 28-33 (2021)
Externí odkaz:
https://doaj.org/article/c25016b5b3c24af18380340875d594f3
As graphs grow larger, full-batch GNN training becomes hard for single GPU memory. Therefore, to enhance the scalability of GNN training, some studies have proposed sampling-based mini-batch training and distributed graph learning. However, these met
Externí odkaz:
http://arxiv.org/abs/2408.11500
Autor:
Jin, Jiahui, Song, Yifan, Kan, Dong, Zhu, Haojia, Sun, Xiangguo, Li, Zhicheng, Sun, Xigang, Zhang, Jinghui
Urban region representation is crucial for various urban downstream tasks. However, despite the proliferation of methods and their success, acquiring general urban region knowledge and adapting to different tasks remains challenging. Previous work of
Externí odkaz:
http://arxiv.org/abs/2408.05920
High frame-rate (HFR) videos of action recognition improve fine-grained expression while reducing the spatio-temporal relation and motion information density. Thus, large amounts of video samples are continuously required for traditional data-driven
Externí odkaz:
http://arxiv.org/abs/2407.16344
What happens if we train a new Large Language Model (LLM) using data that are at least partially generated by other LLMs? The explosive success of LLMs means that a substantial amount of content online will be generated by LLMs rather than humans, wh
Externí odkaz:
http://arxiv.org/abs/2407.12835
Publikováno v:
Advances in Civil Engineering, Vol 2020 (2020)
For the first time, the finite integral transform method is introduced to explore the accurate bending analysis of orthotropic rectangular thin plates with two adjacent edges free and the others clamped or simply supported. Previous solutions mostly
Externí odkaz:
https://doaj.org/article/ca983445cb0f4185a6d1de86d120152d