Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Tieming Li"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 2, Pp 101970- (2024)
Program analysis using deep learning has become a focus of research, and representing code as model input is a major challenge. While abstract syntax trees (ASTs) have proven effective, using them directly as model input introduces issues of long-ter
Externí odkaz:
https://doaj.org/article/4a78547e40a14cbbb17921161d73bd28
Publikováno v:
Journal of Asian Earth Sciences. 193:104328
In this study, 1338 relocated earthquakes (Ms ≥ 1.6) from 1981 to 2018 and 53 GPS velocities from 2004 to 2017 were processed to obtain the geometry and kinematic characteristics of the Daofu–Kangding segment of the Xianshuihe fault system in sou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bd8de3dd47fa37795457fe33223f3d3
https://doi.org/10.1016/j.jseaes.2020.104328
https://doi.org/10.1016/j.jseaes.2020.104328
Autor:
Min Wang, XueJun Qiao, Jia Cheng, Zheng-Kang Shen, EnNing Wang, Guo-jie Meng, Yanzhao Wang, Weijun Gan, Wei Tao, TieMing Li, Peng Li, YongLin Yang
Publikováno v:
Science in China Series D: Earth Sciences. 51:1267-1283
A linked-fault-element model is employed to invert for contemporary slip rates along major active faults in the Sichuan-Yunnan region (96°–108°E, 21°–35°N) using the least squares method. The model is based on known fault geometry, and constr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f31d0b918dd9ac3ffd18a90802361e8
https://doi.org/10.1007/s11430-008-0106-4
https://doi.org/10.1007/s11430-008-0106-4
Autor:
XueJun Qiao, Hua Liao, Weijun Gan, ZhengKang Shen, TieMing Li, Min Wang, Qingliang Wang, Jinwei Ren, Peng Li, YongLin Yang, Kato Teruyuki
Publikováno v:
Science in China Series D: Earth Sciences. 51:1259-1266
Highly precise (σ ∼1 mm) temporal deformation measurements are taken across the Xianshuihe fault from two pairs of continuous GPS stations straddling the fault. Baseline vector changes of the two pairs of stations show clearly the difference in de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::101a76164bd1326a40356fbab39466ff
https://doi.org/10.1007/s11430-008-0095-3
https://doi.org/10.1007/s11430-008-0095-3
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
Path planning plays an essential role in mobile robot navigation, and the A* algorithm is one of the best-known path planning algorithms. However, the traditional A* algorithm has some limitations, such as slow planning speed, close to obstacles. In
Externí odkaz:
https://doaj.org/article/580a8b95222d444dbca4b247ae8a7238
Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA
Publikováno v:
Healthcare Informatics Research, Vol 24, Iss 2, Pp 139-147 (2018)
ObjectivesThe objective of this study was to compare the performance of two popularly used early sepsis diagnostic criteria, systemic inflammatory response syndrome (SIRS) and quick Sepsis-related Organ Failure Assessment (qSOFA), using statistical a
Externí odkaz:
https://doaj.org/article/a8cf93528575402db97d9a1f639b3eb8
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 15 (2019)
With the wide deployment of new computing paradigms, such as cloud computing and edge computing, the people can access services provided by remote servers more conveniently via the Internet. To preserve the security of those messages transmitted over
Externí odkaz:
https://doaj.org/article/1cc799295eeb484995d84374dedce500
Publikováno v:
Healthcare Informatics Research, Vol 24, Iss 3, Pp 250-250 (2018)
Externí odkaz:
https://doaj.org/article/54d0cba588b246fe8abe0a315d679a78