Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Tieming Liu"'
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:
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
Autor:
Ru Wang, Zhuqi Miao, Tieming Liu, Mei Liu, Kristine Grdinovac, Xing Song, Ye Liang, Dursun Delen, William Paiva
Publikováno v:
Journal of Clinical Medicine, Vol 10, Iss 7, p 1473 (2021)
Diabetic retinopathy (DR) is a leading cause for blindness among working-aged adults. The growing prevalence of diabetes urges for cost-effective tools to improve the compliance of eye examinations for early detection of DR. The objective of this res
Externí odkaz:
https://doaj.org/article/14a9c84a31374d25a65df3cdf231e32e
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
Publikováno v:
Ann Appl Stat
With the increasing availability of electronic health records (EHR), significant progress has been made on developing predictive inference and algorithms by health data analysts and researchers. However, the EHR data are notoriously noisy due to miss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::731a8bd41ca499493eabe8b17420f951
https://europepmc.org/articles/PMC10156089/
https://europepmc.org/articles/PMC10156089/
Autor:
Tieming Liu
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-6
Software vulnerability mining is an important component of network attack and defense technology. To address the problems of high leakage rate and false positive rate of existing static analysis methods, this paper proposes a static analysis vulnerab
Autor:
Devaraj Radha Krishnan, Tieming Liu
Publikováno v:
Networks. 80:297-313