Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zhi-qiang Peng"'
Autor:
Ye Xu, Ling-Zhai Zhao, Ya-Zhou Xu, Jin-Bao Gu, Kun Wu, Zhi-Qiang Peng, Xiao-Hong Zhou, Fu-Chun Zhang, Xiao-Guang Chen
Publikováno v:
Infectious Diseases of Poverty, Vol 9, Iss 1, Pp 1-5 (2020)
Abstract Background Dengue is a re-emerging public health problem and mosquito-borne infectious disease that is transmitted mainly by Aedes aegypti and Ae. albopictus. Early diagnosis, isolation, and treatment of patients are critical steps for dengu
Externí odkaz:
https://doaj.org/article/8a32b7124ec54303a2fa67832ad53036
Autor:
Meng-ge Du, Zhi-qiang Peng, Wen-bin Gai, Fan Liu, Wei Liu, Yu-jiao Chen, Hong-chang Li, Xin Zhang, Cui Hua Liu, Ling-qiang Zhang, Hong Jiang, Ping Xie
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
Background: Numerous studies have indicated that the neddylation pathway is closely associated with tumor development. MLN4924 (Pevonedistat), an inhibitor of the NEDD8-activating E1 enzyme, is considered a promising chemotherapeutic agent. Recently,
Externí odkaz:
https://doaj.org/article/3c87fb38ff0a408cb756b5a0ad97f1ab
Publikováno v:
Symmetry, Vol 10, Iss 7, p 262 (2018)
Microaggregation refers to partitioning n given records into groups of at least k records each to minimize the sum of the within-group squared error. Because microaggregation is non-deterministic polynomial-time hard for multivariate data, most exist
Externí odkaz:
https://doaj.org/article/725f57d55177401d9a772f283f9827da
Autor:
Ru-Ning Guo, Jin-Yan Lin, Lin-Hui Li, Chang-Wen Ke, Jian-Feng He, Hao-Jie Zhong, Hui-Qiong Zhou, Zhi-Qiang Peng, Fen Yang, Wen-Jia Liang
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e85596 (2014)
OBJECTIVES: Frequent outbreaks of dengue are considered to be associated with an increased risk for endemicity of the disease. The occurrence of a large number of indigenous dengue cases in consecutive years indicates the possibility of a changing de
Externí odkaz:
https://doaj.org/article/ba338b76a92b41c387b1240710e252c4
Autor:
Zhi-Qiang Peng, 彭智強
106
In the past, the road surface anomaly detection by defining feature thresholds. If the threshold is exceeded, the GPS location is identified as an abnormal location. However, these methods may not be applicable to sources of data with hetero
In the past, the road surface anomaly detection by defining feature thresholds. If the threshold is exceeded, the GPS location is identified as an abnormal location. However, these methods may not be applicable to sources of data with hetero
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/bxgtnc
Autor:
Yang, Yang, Zhi-qiang, Peng, Xing-zhi, Chen, Zhao-liang, Guo, Tie-gang, Tang, Hai-bo, Hu, Qing-ming, Zhang
Publikováno v:
In Materials Science & Engineering A 10 January 2016 651:636-645
Publikováno v:
Journal of Constructional Steel Research. 207:107978
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52638d26caf169c35b013219d2f66152
https://doi.org/10.1016/j.jcsr.2023.107978
https://doi.org/10.1016/j.jcsr.2023.107978
Publikováno v:
Chinese Medical Journal. 135:482-484
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0184fcb85d60c1f02675eb7799ef2955
https://doi.org/10.1097/cm9.0000000000001776
https://doi.org/10.1097/cm9.0000000000001776
Publikováno v:
Symmetry, Vol 10, Iss 7, p 262 (2018)
Symmetry; Volume 10; Issue 7; Pages: 262
Symmetry; Volume 10; Issue 7; Pages: 262
Microaggregation refers to partitioning n given records into groups of at least k records each to minimize the sum of the within-group squared error. Because microaggregation is non-deterministic polynomial-time hard for multivariate data, most exist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87b3a3ad00777cc054da4d75cf47bbbd
http://www.mdpi.com/2073-8994/10/7/262
http://www.mdpi.com/2073-8994/10/7/262
Publikováno v:
Business Information Systems ISBN: 9783319593357
BIS
BIS
Early approaches for pavement anomaly detection used simple heuristic on a small number of features and their associated thresholds. Such methods may not be suitable for data collected from heterogeneous sources (e.g., different vehicles, pavements,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe93ea1ad014f89b7477aa712f465563
https://doi.org/10.1007/978-3-319-59336-4_24
https://doi.org/10.1007/978-3-319-59336-4_24