Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Shaofeng, Hu"'
Publikováno v:
Geofluids, Vol 2020 (2020)
It is critical to select an optimized sand control method for an interbedded sandstone and mudstone reservoir (ISMR) due to its serious sand production hazards. However, currently, most general sand control methods cannot meet the requirements of san
Externí odkaz:
https://doaj.org/article/8762f2011f1c4da6bcc1fe8cd38576fa
Publikováno v:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining.
Nowadays, Multi-purpose Messaging Mobile App (MMMA) has become increasingly prevalent. MMMAs attract fraudsters and some cybercriminals provide support for frauds via black market accounts (BMAs). Compared to fraudsters, BMAs are not directly involve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c5038376cc61f95347878a99f7b97fc
https://doi.org/10.1145/3539597.3570466
https://doi.org/10.1145/3539597.3570466
Publikováno v:
2022 23rd IEEE International Conference on Mobile Data Management (MDM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10592f0723b2c948d0332a2d38ee9c49
https://doi.org/10.1109/mdm55031.2022.00053
https://doi.org/10.1109/mdm55031.2022.00053
Autor:
Zijie Yang, Binghui Wang, Haoran Li, Dong Yuan, Zhuotao Liu, Neil Zhenqiang Gong, Chang Liu, Qi Li, Xiao Liang, Shaofeng Hu
Publikováno v:
Annual Computer Security Applications Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a81d70f5125c13349b1a9e4d5509761
https://doi.org/10.1145/3485832.3488013
https://doi.org/10.1145/3485832.3488013
Autor:
Lingcong, Li, Shaofeng, Hu, Tianyan, Gu, Chenyin, Lü, Yanchi, Liu, Hua, Liu, Jingang, Gu, Guogang, Zhao
Publikováno v:
Sheng wu gong cheng xue bao = Chinese journal of biotechnology. 36(5)
Endo-β-N-acetylglucosaminidase is used widely in the glycobiology studies and industries. In this study, a new endo-β-N-acetylglucosaminidase, designated as Endo SA, was cloned from Streptomyces alfalfae ACCC 40021 and expressed in Escherichia coli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5a991aea69a8f53ec5f006965681b8e3
https://pubmed.ncbi.nlm.nih.gov/32567276
https://pubmed.ncbi.nlm.nih.gov/32567276
Publikováno v:
Fluid Dynamics Research. 54:015512
Ventilation bubble is widely used to reduce friction drag of object travelling in fluid. A large number of experimental studies are performed on the ventilation bubble in water tunnel, while little is known about it around vertically moving cylinder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dfc054a4ceaabbcce045349476f6aa5
https://doi.org/10.1088/1873-7005/ac522c
https://doi.org/10.1088/1873-7005/ac522c
Publikováno v:
Geofluids, Vol 2020 (2020)
It is critical to select an optimized sand control method for an interbedded sandstone and mudstone reservoir (ISMR) due to its serious sand production hazards. However, currently, most general sand control methods cannot meet the requirements of san
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00c455d2abb3d2a5c808384ec06fabd2
https://doaj.org/article/8762f2011f1c4da6bcc1fe8cd38576fa
https://doaj.org/article/8762f2011f1c4da6bcc1fe8cd38576fa
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783319066042
PAKDD (2)
PAKDD (2)
The common assumption that training and testing samples share the same distribution is often violated in practice. When this happens, traditional learning models may not generalize well. To solve this problem, domain adaptation and transfer learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b7a9fc99428c6fb3723f22b37e1f84a
https://doi.org/10.1007/978-3-319-06605-9_43
https://doi.org/10.1007/978-3-319-06605-9_43
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783642173127
ADMA (2)
ADMA (2)
When training and testing data are drawn from different distributions, the performance of the classification model will be low. Such a problem usually comes from sample selection bias or transfer learning scenarios. In this paper, we propose a novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bf0ba23b405134d1dfecba036fa1090
https://doi.org/10.1007/978-3-642-17313-4_7
https://doi.org/10.1007/978-3-642-17313-4_7