Zobrazeno 1 - 10
of 301
pro vyhledávání: '"XIANGFENG LUO"'
Publikováno v:
Journal of Safety Science and Resilience, Vol 5, Iss 4, Pp 486-497 (2024)
Dynamic graph fraud detection aims to distinguish fraudulent entities that deviate significantly from most benign entities within an ever-changing graph network. However, when dealing with different financial fraud scenarios, existing methods face ch
Externí odkaz:
https://doaj.org/article/930e1e7868d3415bb97ce31771dcf873
Publikováno v:
Sensors, Vol 24, Iss 13, p 4329 (2024)
Scene graphs can enhance the understanding capability of intelligent ships in navigation scenes. However, the complex entity relationships and the presence of significant noise in contextual information within navigation scenes pose challenges for na
Externí odkaz:
https://doaj.org/article/c66e9ccb8e354e41bb680321d32fda76
Autor:
Xiang Li, Shanyuan Zhang, Xiang Luo, Guangming Gao, Xiangfeng Luo, Shansi Wang, Shaolei Li, Dachuan Zhao, Yaqi Wang, Xinrun Cui, Bing Liu, Ye Tao, Bufan Xiao, Lei Tang, Shi Yan, Nan Wu
Publikováno v:
EBioMedicine, Vol 87, Iss , Pp 104422- (2023)
Summary: Background: Anthropomorphic phantoms are used in surgical planning and intervention. Ideal accuracy and high efficiency are prerequisites for its clinical application. We aimed to develop a fully automated artificial intelligence-based three
Externí odkaz:
https://doaj.org/article/fa302084fde94c418a6ab5dee584af05
Autor:
Xiaowei Liu, Yusheng Jiang, Xiaonan Jia, Xiaohui Ma, Ci Han, Nana Guo, Yahui Peng, Haitao Liu, Yingnan Ju, Xiangfeng Luo, Xueting Li, Yue Bu, Jin Zhang, Yansong Liu, Yan Gao, Mingyan Zhao, Hongliang Wang, Ligang Luo, Kaijiang Yu, Changsong Wang
Publikováno v:
Critical Care, Vol 25, Iss 1, Pp 1-11 (2021)
Abstract Background Acute respiratory distress syndrome (ARDS) is a heterogeneous syndrome, and the identification of homogeneous subgroups and phenotypes is the first step toward precision critical care. We aimed to explore whether ARDS phenotypes c
Externí odkaz:
https://doaj.org/article/6306934bd1524dd5a336641ae7aa065a
Publikováno v:
Journal of Safety Science and Resilience, Vol 1, Iss 2, Pp 120-127 (2020)
Novel coronavirus, now named COVID-19, has swept the world, which is regarded as ‘public enemy number one’ by WHO. In these months, the coronavirus has become a hot topic and led various public opinion. The traditional strategies for public opini
Externí odkaz:
https://doaj.org/article/d1870dd4c2dc42099b112fbbcd29cf79
Publikováno v:
Big Earth Data, Vol 4, Iss 4, Pp 451-463 (2020)
The rapid development of intelligent navigation drives the rapid accumulation of ocean data, and the ocean science has entered the era of big data. However, the complexity and variability of the ocean environments make some data unavailable. It makes
Externí odkaz:
https://doaj.org/article/d8735dfa123a468bb5ebff00066984ac
Autor:
Jun Lv, Jianhui Li, Yanzhen Liu, Hong Zhang, Xiangfeng Luo, Min Ren, Yufan Gao, Yanhe Ma, Shuo Liang, Yapeng Yang, Zhenchun Song, Guangming Gao, Guozheng Gao, Yusheng Jiang, Ximing Li
Publikováno v:
Frontiers in Oncology, Vol 11 (2022)
IntroductionTo evaluate the value of artificial intelligence (AI)-assisted software in the diagnosis of lung nodules using a combination of low-dose computed tomography (LDCT) and high-resolution computed tomography (HRCT).MethodA total of 113 patien
Externí odkaz:
https://doaj.org/article/4f476eb06b79406fa51e1899d7c6be22
Autor:
Li-An Huang, Xiangfeng Luo
Publikováno v:
IEEE Access, Vol 8, Pp 18162-18170 (2020)
Numerous knowledge bases have been published on the web, and there are serious heterogeneous problems among them. Unifying these knowledge bases at the semantic level can better promote the development of the Linked Data Project. Various effective me
Externí odkaz:
https://doaj.org/article/e28f00c818c14bbdab8f6ca0c7ea5e85
Autor:
Yimin Wang, Qi Li, Lijuan Liu, Zhi Zhou, Zongcai Ruan, Lingsheng Kong, Yaoyao Li, Yun Wang, Ning Zhong, Renjie Chai, Xiangfeng Luo, Yike Guo, Michael Hawrylycz, Qingming Luo, Zhongze Gu, Wei Xie, Hongkui Zeng, Hanchuan Peng
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
Reconstructing the full shape of neurons is a major informatics challenge as it requires handling huge whole-brain imaging datasets. Here the authors present an open-source virtual reality annotation system for precise and efficient data production o
Externí odkaz:
https://doaj.org/article/ce9a4d0ad20b4d9db384d05fc51ef648
Publikováno v:
IEEE Access, Vol 5, Pp 2373-2382 (2017)
The explosive increasing of the social media data on the Web has created and promoted the development of the social media big data mining area welcomed by researchers from both academia and industry. The sentiment computing of news event is a signifi
Externí odkaz:
https://doaj.org/article/ea71e2f7aaa94b6e9d9efdd3700e9efc