Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Bushi Liu"'
Publikováno v:
Symmetry, Vol 16, Iss 6, p 730 (2024)
In recent years, frequent chemical production safety incidents in China have been primarily attributed to dangerous behaviors by workers. Current monitoring methods predominantly rely on manual supervision, which is not only inefficient but also pron
Externí odkaz:
https://doaj.org/article/8a017f6f276b45a39b64f7b172522e11
Publikováno v:
PLoS ONE, Vol 19, Iss 4 (2024)
Externí odkaz:
https://doaj.org/article/1ccd4f7f36404bcaad63fd99ca5c3798
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
The transportation of hazardous chemicals on roadways has raised significant safety concerns. Incidents involving these substances often lead to severe and devastating consequences. Consequently, there is a pressing need for real-time detection syste
Externí odkaz:
https://doaj.org/article/aef386baa56f40bb9f4ee3eb7e3a87bb
Publikováno v:
Sensors, Vol 23, Iss 17, p 7437 (2023)
Currently, most chemical transmission equipment relies on bearings to support rotating shafts and to transmit power. However, bearing defects can lead to a series of failures in the equipment, resulting in reduced production efficiency. To prevent su
Externí odkaz:
https://doaj.org/article/326c1148091b4b13bad3774cefc451ed
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1213 (2021)
As a popular research direction in the field of intelligent transportation, road detection has been extensively concerned by many researchers. However, there are still some key issues in specific applications that need to be further improved, such as
Externí odkaz:
https://doaj.org/article/45c68211e07c4ff8b1b2af5762cc7827
Publikováno v:
Sensors, Vol 20, Iss 24, p 7089 (2020)
Due to deep learning’s accurate cognition of the street environment, the convolutional neural network has achieved dramatic development in the application of street scenes. Considering the needs of autonomous driving and assisted driving, in a gene
Externí odkaz:
https://doaj.org/article/6f38d6df45a0419aabe73aac5540e13d
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 24
Sensors, Vol 20, Iss 7089, p 7089 (2020)
Sensors
Volume 20
Issue 24
Sensors, Vol 20, Iss 7089, p 7089 (2020)
Due to deep learning&rsquo
s accurate cognition of the street environment, the convolutional neural network has achieved dramatic development in the application of street scenes. Considering the needs of autonomous driving and assisted driving,
s accurate cognition of the street environment, the convolutional neural network has achieved dramatic development in the application of street scenes. Considering the needs of autonomous driving and assisted driving,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2caa497b8655b2e9a7d0afd50ff0033
http://europepmc.org/articles/PMC7763539
http://europepmc.org/articles/PMC7763539
Autor:
Liu, Bushi1 (AUTHOR) bsliu@hyit.edu.cn, Yu, Cuiying1 (AUTHOR) chenbolun@hyit.edu.cn, Chen, Bolun1,2 (AUTHOR) zhaoyue1876@hyit.edu.cn, Zhao, Yue1 (AUTHOR)
Publikováno v:
Symmetry (20738994). Jun2024, Vol. 16 Issue 6, p730. 24p.
Autor:
Yu, Cuiying1 (AUTHOR), Zhou, Lei1 (AUTHOR) zhoulei@hyit.edu.cn, Liu, Bushi1 (AUTHOR), Zhao, Yue1 (AUTHOR), Zhu, Pengcheng1 (AUTHOR), Chen, Liqing1,2 (AUTHOR), Chen, Bolun1,3 (AUTHOR)
Publikováno v:
PLoS ONE. 4/24/2024, Vol. 19 Issue 4, p1-23. 23p.
Autor:
Zhao, Yue1 (AUTHOR), Chen, Bolun1,2 (AUTHOR) chenbolun@hyit.edu.cn, Liu, Bushi1 (AUTHOR), Yu, Cuiying1 (AUTHOR), Wang, Ling1 (AUTHOR), Wang, Shanshan1 (AUTHOR)
Publikováno v:
Sensors (14248220). Sep2023, Vol. 23 Issue 17, p7437. 19p.