Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tianchen Zhu"'
Publikováno v:
大数据, Vol 9, Pp 98-115 (2023)
Industrial control system (ICS) is the brain of national industrial manufacturing and civil infrastructure.However, the security risks associated with ICS have become increasingly prominent, making it a significant target for cybersecurity protection
Externí odkaz:
https://doaj.org/article/9011602ab1fe461788dc6631e9a70ff7
Autor:
Yiyang Zhang, Lianghe Lu, Zhangping He, Zhishen Xu, Zhicheng Xiang, Run-Cong Nie, Wenping Lin, Wenxu Chen, Jie Zhou, Yixin Yin, Juanjuan Xie, Youcheng Zhang, Xueyi Zheng, Tianchen Zhu, Xiaoxia Cai, Peng Li, Xue Chao, Mu-Yan Cai
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
BackgroundSerum C-reactive protein (CRP) is a biomarker of an acute inflammatory response and has been successfully used as a prognostic predictor for several malignancies. However, the clinicopathological significance of CRP levels in hepatocellular
Externí odkaz:
https://doaj.org/article/bd498e708e034c7495a6f6aabc175f07
Publikováno v:
2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34f4d65e7ddef30b24fb3a2a83c83ad3
https://doi.org/10.1109/iwqos54832.2022.9812905
https://doi.org/10.1109/iwqos54832.2022.9812905
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccade571b52e4e4762f20da3506eaa08
https://doi.org/10.1145/3488560.3498466
https://doi.org/10.1145/3488560.3498466
Autor:
Yaxin Zhang, Sufei Sun, Nan Li, Chengliang Gong, Zeen Shen, Xing Zhang, Min Zhu, Tianchen Zhu, Xiaolong Hu, Jun Pan, Xiu Shi
Publikováno v:
Developmental & Comparative Immunology. 125:104227
The diversity of microbiota and metabolites in the digestive tract gut is important in physiology and homeostasis, nutrient uptake and virus infection. In lepidopteran insect model silkworms, little is known about how microbiota and metabolites are a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbf820d2a232a9226e0993c39b9a61ed
https://doi.org/10.1016/j.dci.2021.104227
https://doi.org/10.1016/j.dci.2021.104227
Publikováno v:
CSCWD
Relevance measure in both homogeneous and heterogeneous networks has been extensively studied. However, how to measure the relevance among different-typed objects in weighted signed heterogeneous information networks remains an open problem. It is ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b6356c1dd49d1e6ff45efb0251a6945
https://doi.org/10.1109/cscwd.2017.8066754
https://doi.org/10.1109/cscwd.2017.8066754
Publikováno v:
Web and Big Data ISBN: 9783319635781
APWeb/WAIM (1)
APWeb/WAIM (1)
Similarity measure in non-signed social networks has been extensively studied for decades. However, how to measure the similarity of two nodes in signed social networks remains an open problem. It is challenging to incorporate both positive and negat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9122aa6f8fae315f8e5cce76b0903d4f
https://doi.org/10.1007/978-3-319-63579-8_31
https://doi.org/10.1007/978-3-319-63579-8_31
Autor:
Tianchen Zhu, Xiangwei Wang, Xiaoguang Hong, Yang Xu, Guang Yang, Zhaohui Peng, Senzhang Wang, Min Zhu
Publikováno v:
Web-Age Information Management ISBN: 9783319210414
WAIM
WAIM
Relevance search is a primitive operation in heterogeneous information networks, where the task is to measure the relatedness of objects with different types. Due to the semantics implied by network links, conventional research on relevance search is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8505a3af77698a91bb4967bb47f400fb
https://doi.org/10.1007/978-3-319-21042-1_15
https://doi.org/10.1007/978-3-319-21042-1_15
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783319251585
KSEM
KSEM
How to model the influence propagation accurately in social network is a critical and challenge task. Although numerous attempts have been made for this topic, few of them consider the user's negative influence. Positive influence will encourage peop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::807ba4beba1462b9c9bdac1e0af4509c
https://doi.org/10.1007/978-3-319-25159-2_46
https://doi.org/10.1007/978-3-319-25159-2_46