Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rujun Zhuang"'
Autor:
Xian Jiang, Qing Cui, Chongguo Wang, Fan Wang, Yingxiang Zhao, Yongjie Hou, Rujun Zhuang, Yunfei Mei, Gang Shi
Publikováno v:
Sensors, Vol 23, Iss 8, p 3847 (2023)
Infrastructure along the highway refers to various facilities and equipment: bridges, culverts, traffic signs, guardrails, etc. New technologies such as artificial intelligence, big data, and the Internet of Things are driving the digital transformat
Externí odkaz:
https://doaj.org/article/2a648790c0514c8296347584830ef643
Autor:
Yongjie Hou, Gang Shi, Yingxiang Zhao, Fan Wang, Xian Jiang, Rujun Zhuang, Yunfei Mei, Xinjiang Ma
Publikováno v:
Sensors, Vol 22, Iss 15, p 5716 (2022)
In view of the existence of remote sensing images with large variations in spatial resolution, small and dense objects, and the inability to determine the direction of motion, all these components make object detection from remote sensing images very
Externí odkaz:
https://doaj.org/article/e4dca31e0f72485e83e461ebdbead52b
Autor:
Fan Wang, Yingxiang Zhao, Gang Shi, Qing Cui, Tengfei Cao, Xian Jiang, Yongjie Hou, Rujun Zhuang, Yunfei Mei
Publikováno v:
Sensors, Vol 22, Iss 13, p 4878 (2022)
Point cloud processing based on deep learning is developing rapidly. However, previous networks failed to simultaneously extract inter-feature interaction and geometric information. In this paper, we propose a novel point cloud analysis module, CGR-b
Externí odkaz:
https://doaj.org/article/61a28d87799d40709c9739efa8e80205
Publikováno v:
Symmetry, Vol 13, Iss 11, p 2023 (2021)
Entropy is usually used to measure the uncertainty of uncertain random variables. It has been defined by logarithmic entropy with chance theory. However, this logarithmic entropy sometimes fails to measure the uncertainty of some uncertain random var
Externí odkaz:
https://doaj.org/article/081440a155ea4922b6ddab19034cc63f