Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Yuanzhe Cai"'
Autor:
Yizi Zheng, Zhenhan Deng, Feijuan Huang, Yu Zhang, Yuanzhe Cai, Jingyue Su, Zhengzhi Wu, Shiwei Yang
Publikováno v:
Journal of International Medical Research, Vol 51 (2023)
Objective To explore the transmission patterns and clinical course of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that was first identified in Wuhan, China in December 2019 as clustered and non-clustered cases of coronavirus disease
Externí odkaz:
https://doaj.org/article/5f56f210df30467f90fd306b7b4fe320
Learning low-dimensional continuous vector representation for short k-mers divided from long DNA sequences is key to DNA sequence modeling that can be utilized in many bioinformatics investigations, such as DNA sequence classification and retrieval.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6663283e8e44fcc5b8814777cd0fb05d
https://doi.org/10.1101/2022.08.30.505832
https://doi.org/10.1101/2022.08.30.505832
Autor:
Shibo Liang, Ziquan Liang, Zecheng Wu, Feijuan Huang, Xu Wang, Zihao Tan, Rui He, Zeyi Lu, Yuanzhe Cai, Bingding Huang, Xin Wang
Nanobodies, also known as single domain or VHH antibodies, are the artificial recombinant variable domains of heavy-chain-only antibodies. Nanobodies have many unique properties, including small size, good solubility, superior stability, rapid cleara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b37fcef1f9259e7269e632ee9f6375af
https://doi.org/10.1101/2022.08.07.503071
https://doi.org/10.1101/2022.08.07.503071
Autor:
Zhanyan Liu, Xiaomiao Tian, Yu Zhang, Jieren Liu, Zhengzhi Wu, Shiwei Yang, Ding Feng, Weldon Lee, Yan Liu, Yuanzhe Cai, Yaowei Huang, Huang Feijuan
Background To help government formulating epidemic control strategies and spreading Shenzhen's experience. Methods 417 patients admitted to hospital with confirmed COVID-19 infection between 19 January and 21 February 2020 in Shenzhen, China.Observat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c89d2ae91d7cde14ed2a4426634cd6db
https://doi.org/10.21203/rs.3.rs-596908/v1
https://doi.org/10.21203/rs.3.rs-596908/v1
Autor:
Yuanzhe Cai, Sharma Chakravarthy
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783642374869
DASFAA (1)
DASFAA (1)
Community Question Answering services (CQAs) have become ubiquitous, and are widely used. Hence, it would be beneficial if we can mine useful inferences from these data sets to improve these services. For example, if we can infer or identify expertis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e55a556b4b782353024955b24cc85e1
https://doi.org/10.1007/978-3-642-37487-6_5
https://doi.org/10.1007/978-3-642-37487-6_5
Publikováno v:
2012 China International Conference on Electricity Distribution.
Urban medium voltage distribution network planning is a large-scale combinatorial optimization issue. This paper analyses the cable single-ring network mode which is commonly used in current urban medium voltage distribution network, and proposes a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c856bcf383e0c8386269694d712517ec
https://doi.org/10.1109/ciced.2012.6508701
https://doi.org/10.1109/ciced.2012.6508701
Publikováno v:
2012 Asia-Pacific Power and Energy Engineering Conference.
Partial discharge locating detection is a key project in transformer insulation mechanism research and quality control. And it is an important foundation in transformer's condition maintenance. The theory of partial discharge location based on ultras
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5987ae9293af00e8b2f5e42d8eac5c0
https://doi.org/10.1109/appeec.2012.6307654
https://doi.org/10.1109/appeec.2012.6307654
Publikováno v:
2011 International Conference on Electrical and Control Engineering.
Support vector machines (SVM), which are based on statistical learning theory and structural risk minimization principle, according to limited sample information, search the best compromise between the model complexity and the learning ability, and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72fc98e319eb15c95577dcdcf4861730
https://doi.org/10.1109/iceceng.2011.6057627
https://doi.org/10.1109/iceceng.2011.6057627
Publikováno v:
WSDM
Social tagging recommendation is an urgent and useful enabling technology for Web 2.0. In this paper, we present a systematic study of low-order tensor decomposition approach that are specifically targeted at the very sparse data problem in tagging r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbabe22875dccea4db2b2e3b2535b2d9
https://doi.org/10.1145/1935826.1935920
https://doi.org/10.1145/1935826.1935920
Autor:
Sharma Chakravarthy, Yuanzhe Cai
Publikováno v:
Data Warehousing and Knowledge Discovery ISBN: 9783642235436
DaWaK
DaWaK
We focus on extensions to the pairwise similarity calculation of information networks. By considering both in- and out-link relationships, we propose Additive- and Multiplicative-SimRank to calculate the similarity score. Then we discuss the loop/cyc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6ad8e12119587367be72e7b56db93cc
https://doi.org/10.1007/978-3-642-23544-3_24
https://doi.org/10.1007/978-3-642-23544-3_24