Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Guanwu Wang"'
Autor:
Wei Luo, Guoqing Zhang, Quanqin Shao, Yongxiang Zhao, Dongliang Wang, Xiongyi Zhang, Ke Liu, Xiaoliang Li, Jiandong Liu, Penggang Wang, Lin Li, Guanwu Wang, Fulong Wang, Zhongde Yu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract It is a challenging and meaningful task to carry out UAV-based livestock monitoring in high-altitude (more than 4500 m on average) and cold regions (annual average – 4 °C) on the Qinghai Tibet Plateau. The purpose of artificial intelligen
Externí odkaz:
https://doaj.org/article/ff618efac4454e2e9367ab74b60bdce0
Autor:
Wei Luo, Guoqing Zhang, Quanbo Yuan, Yongxiang Zhao, Hongce Chen, Jingjie Zhou, Zhaopeng Meng, Fulong Wang, Lin Li, Jiandong Liu, Guanwu Wang, Penggang Wang, Zhongde Yu
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/c4c78bb67c42414cb7aa97239cc0e8b5
Autor:
Guanwu Wang, Anna Mantas, Lara R. Heij, Tarick M. Al‐Masri, Dong Liu, Daniel Heise, Sophia M. Schmitz, Steven W. M. Olde Damink, Tom Luedde, Sven A. Lang, Tom F. Ulmer, Ulf P. Neumann, Jan Bednarsch
Publikováno v:
Cancer Medicine, Vol 13, Iss 1, Pp n/a-n/a (2024)
Abstract Background Perihilar cholangiocarcinoma (pCCA) is a malignant tumor of the hepatobiliary system which is still associated with a challenging prognosis. Postoperative complications play a crucial role in determining the overall prognosis of p
Externí odkaz:
https://doaj.org/article/d0cbe089d10541fab6ea2f3a9e059b42
Autor:
Guanwu Wang, Carlos C. Otto, Lara R. Heij, Tarick M. Al-Masri, Edgar Dahl, Daniel Heise, Steven W. M. Olde Damink, Tom Luedde, Sven A. Lang, Tom F. Ulmer, Ulf P. Neumann, Jan Bednarsch
Publikováno v:
Journal of Clinical Medicine, Vol 12, Iss 24, p 7747 (2023)
Intrahepatic cholangiocarcinoma is a common primary liver tumor with limited treatment options and poor prognosis. Changes in body composition (BC) have been shown to affect the prognosis of various types of tumors. Therefore, our study aimed to inve
Externí odkaz:
https://doaj.org/article/f7b2800aabff4bb5b6d087a403338f80
Autor:
Guanwu Wang, Lara Rosaline Heij, Dong Liu, Edgar Dahl, Sven Arke LANG, Tom Florian Ulmer, Tom LUEDDE, Ulf Peter Neumann, Jan Bednarsch
Publikováno v:
Cancers, Vol 14, Iss 23, p 5969 (2022)
Single-nucleotide polymorphisms (SNPs) play an essential role in various malignancies, but their role in cholangiocarcinoma (CCA) remains to be elucidated. Therefore, the purpose of this systematic review was to evaluate the association between SNPs
Externí odkaz:
https://doaj.org/article/bed071a1af554b57b6be28eb3c10e2e8
Publikováno v:
IEEE Access, Vol 7, Pp 183435-183443 (2019)
By using high-level synthesis tools, electronic system level design provides a promising solution to fill the growing design productivity gap of high quality hardware systems. However, an error may exist in the implementation of a compiler due to the
Externí odkaz:
https://doaj.org/article/f6f607907771464da089f65cbdcac9a2
Publikováno v:
World Journal of Clinical Cases
BACKGROUND Congenital extrahepatic portosystemic shunt, also known as Abernethy deformation, is a rare malformation caused by dysplasia in the portal vein system. There are few reports of liver transplantation as a treatment for Abernethy deformation
Publikováno v:
CSAE
The always increasing complexity of digital system is overcome by System Level Modeling (SLM). The implementation starts from a SLM high-level description and, following a top-down refinement approach, it is refined towards a corresponding Register-t
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811394089
CSPS
CSPS
Symbolic simulation is one of the most important equivalence checking method, but it can not deal with large designs due to the limited capacity of BDD and SAT/SMT. Cut-points technique is used with symbolic simulation to verify the large size of des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95eeadc94b6c2394d9672cce294ad43b
https://doi.org/10.1007/978-981-13-9409-6_159
https://doi.org/10.1007/978-981-13-9409-6_159
Publikováno v:
ICIT
Deep learning is the core of the current artificial intelligence. Neural networks, represented by the depth of learning technology, has been widely applied to the field of computer vision, such as automatic driving, and face recognition. But recent r