Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Jinsheng Xiao"'
Autor:
Yongqin Zhang, Xiaoyu Wang, Panpan Zhu, Xuan Lu, Jinsheng Xiao, Wei Zhou, Zhan Li, Xianlin Peng
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Ancient murals embody profound historical, cultural, scientific, and artistic values, yet many are afflicted with challenges such as pigment shedding or missing parts. While deep learning-based completion techniques have yielded remarkable r
Externí odkaz:
https://doaj.org/article/7945937bae404ebd853c238f879bbc7b
Publikováno v:
Geo-spatial Information Science, Pp 1-14 (2024)
The rise of electric vehicles (EVs) has highlighted the issue of insufficient charging infrastructure, a major barrier to their widespread adoption. This problem is due to the limited capacity of existing charging networks and the performance constra
Externí odkaz:
https://doaj.org/article/3b6246412dc240f5adafb1d0db762215
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 1, Pp 247-253 (2024)
In response to many problems such as complex background of text recognition environment, perspective distortion, shallow handwriting, and mixed Chinese and English characters, we have designed an OCR algorithm framework with features such as landmark
Externí odkaz:
https://doaj.org/article/ca5e8d49c91f4fdf8d071ab7f65bc5cc
Autor:
Tianqi Yang, Zhili Xiao, Shiyan Zeng, Yingjiang Zhao, Linzhi Xu, Shiyu Chen, Chunyan Song, Xianglin Yan, Xuefang Li, Hao Luo, Nianfeng Xu, Jinsheng Xiao
Publikováno v:
Fire, Vol 7, Iss 9, p 306 (2024)
Hydrogen, as a renewable and clean energy carrier, has the potential to play an important role in carbon reduction. Crucial to achieving this is the ability to produce clean sources of hydrogen and to store hydrogen safely. With the rapid development
Externí odkaz:
https://doaj.org/article/baee2137e6b346ab92a2107adce78bbd
Autor:
Xiang Fu, Xianglin Yan, Shiyu Chen, Chunyan Song, Zhili Xiao, Hao Luo, Jiaqi Wan, Tianqi Yang, Nianfeng Xu, Jinsheng Xiao
Publikováno v:
Fire, Vol 7, Iss 7, p 210 (2024)
With the rapid development of hydrogen energy worldwide, the number of hydrogen energy facilities, such as hydrogen refueling stations, has grown rapidly in recent years. However, hydrogen is prone to leakage accidents during use, which could lead to
Externí odkaz:
https://doaj.org/article/d41f5bc09e3d418db3c71af322da904c
Autor:
Xiang Fu, Guodong Li, Shiyu Chen, Chunyan Song, Zhili Xiao, Hao Luo, Jiaqi Wan, Tianqi Yang, Nianfeng Xu, Jinsheng Xiao
Publikováno v:
Fire, Vol 7, Iss 7, p 217 (2024)
Liquid hydrogen storage is an important way of hydrogen storage and transportation, which greatly improves the storage and transportation efficiency due to the high energy density but at the same time brings new safety hazards. In this study, the liq
Externí odkaz:
https://doaj.org/article/3fdf4fe846394dea91b4453f9b6a2642
Publikováno v:
Sensors, Vol 24, Iss 8, p 2554 (2024)
In the context of Industry 4.0, industrial production equipment needs to communicate through the industrial internet to improve the intelligence of industrial production. This requires the current communication network to have the ability of large-sc
Externí odkaz:
https://doaj.org/article/d52dfd4143a347baa074945de63cc78b
Publikováno v:
Sensors, Vol 24, Iss 8, p 2591 (2024)
The era of Industry 4.0 is gradually transforming our society into a data-driven one, which can help us uncover valuable information from accumulated data, thereby improving the level of social governance. The detection of anomalies, is crucial for m
Externí odkaz:
https://doaj.org/article/6367a72fe54648fdbf2ec9994406bc93
Autor:
Tianqi Yang, Jin Li, Qianqian Xin, Hengyun Zhang, Juan Zeng, Kodjo Agbossou, Changqing Du, Jinsheng Xiao
Publikováno v:
Batteries, Vol 10, Iss 3, p 86 (2024)
Thermal runaway (TR) of lithium-ion batteries has always been a topic of concern, and the safety of batteries is closely related to the operating temperature. An overheated battery can significantly impact the surrounding batteries, increasing the ri
Externí odkaz:
https://doaj.org/article/35ad8b26e4134b4385f3ced8cdd2c168
Autor:
Jinghui Pan, Jinsheng Xiao, Changli Ruan, Qibin Song, Lei Shi, Fengjiao Zhuo, Hao Jiang, Xiangpan Li
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
PurposeWhile deep learning has shown promise for automated radiotherapy planning, its application to the specific scenario of stereotactic radiosurgery (SRS) for brain metastases using fixed-field intensity modulated radiation therapy (IMRT) on a lin
Externí odkaz:
https://doaj.org/article/ff7b6bf2f80842ccbb8f0066400f2618