Zobrazeno 1 - 10
of 595
pro vyhledávání: '"ZHANG Zhizhen"'
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 1-15 (2024)
Quantitative evaluation of rock dynamic disaster intensity is a challenging and difficult task in the field of earth science. In this article, the dynamic compression tests of granite under different impact velocities are carried out, and the energy
Externí odkaz:
https://doaj.org/article/d8431622fe354aa29439163191f444d0
Publikováno v:
Meikuang Anquan, Vol 54, Iss 4, Pp 244-250 (2023)
Based on the violation records of a coal mine, this paper analyzes the causes and process of the violation behavior of coal mine personnel under the “stimulus-organism-response” model from the perspectives of violation month, violation shift, vio
Externí odkaz:
https://doaj.org/article/790a51dc59ac46f6af2f57d86ec81dc7
Publikováno v:
矿业科学学报, Vol 7, Iss 3, Pp 344-353 (2022)
As a high-risk industry, coal mining enterprises have a complex record of violations.In order to efficiently, accurately and intelligently retrieve and manage an enterprise's illegal record and reduce the occurrence of illegal behaviors.A database of
Externí odkaz:
https://doaj.org/article/f376c4a852374581a8d2c9cdafba6c6c
On social media sharing platforms, some posts are inherently destined for popularity. Therefore, understanding the reasons behind this phenomenon and predicting popularity before post publication holds significant practical value. The previous work p
Externí odkaz:
http://arxiv.org/abs/2410.09345
Semantic location prediction aims to derive meaningful location insights from multimodal social media posts, offering a more contextual understanding of daily activities than using GPS coordinates. This task faces significant challenges due to the no
Externí odkaz:
http://arxiv.org/abs/2405.05760
Autor:
Zhang, Zhizhen, Lu, Changhong
We develop a discrete Boltzmann-type model that uses dynamics in phase space to describe the behavior of traffic flows. Firstly, we model the traffic flow at mesoscopic scale using dynamics in phase space, which is considered as an evolution model in
Externí odkaz:
http://arxiv.org/abs/2311.14235
Information cascade popularity prediction is critical for many applications, including but not limited to identifying fake news and accurate recommendations. Traditional feature-based methods heavily rely on handcrafted features, which are domain-spe
Externí odkaz:
http://arxiv.org/abs/2310.13219
Autor:
Tian, Ye, Yang, Mengyu, Zhang, Lanshan, Zhang, Zhizhen, Liu, Yang, Xie, Xiaohui, Que, Xirong, Wang, Wendong
Recent adaptive methods for efficient video recognition mostly follow the two-stage paradigm of "preview-then-recognition" and have achieved great success on multiple video benchmarks. However, this two-stage paradigm involves two visits of raw frame
Externí odkaz:
http://arxiv.org/abs/2308.04834
Social Media Popularity Prediction has drawn a lot of attention because of its profound impact on many different applications, such as recommendation systems and multimedia advertising. Despite recent efforts to leverage the content of social media p
Externí odkaz:
http://arxiv.org/abs/2307.15413
Autor:
Zhang, Yu1 (AUTHOR), Zhang, Zhizhen2 (AUTHOR), Du, Fang1 (AUTHOR), Song, Jiayuan1 (AUTHOR), Huang, Shaojia3 (AUTHOR), Mao, Jidong3 (AUTHOR), Xiang, Weiwen3 (AUTHOR), Wang, Fang3 (AUTHOR), Liang, Yuping3 (AUTHOR), Chen, Wufang3 (AUTHOR), Lin, Yuchen4 (AUTHOR) lynn1026@live.cn, Han, Chuanliang5 (AUTHOR) hanchuanliang2014@gmail.com
Publikováno v:
Scientific Reports. 11/4/2024, Vol. 14 Issue 1, p1-8. 8p.