Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shufang Pang"'
Publikováno v:
Metals, Vol 12, Iss 10, p 1628 (2022)
In this paper, two low-grade electrical steels are used to inspect the effect of initial columnar grains and final transformation treatment on the microstructure and textures. Results show that the Al and P elements, besides causing the surface oxida
Externí odkaz:
https://doaj.org/article/dcab445842d24487ac8a8c16cf34b5f9
Publikováno v:
Security and Communication Networks. 2023:1-12
Existing malicious encrypted traffic detection approaches need to be trained with many samples to achieve effective detection of a specified class of encrypted traffic data. With the rapid development of encryption technology, various new types of en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45ce508d266f4fe18514f4afd499129f
https://doi.org/10.1155/2023/3629831
https://doi.org/10.1155/2023/3629831
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:1005-1019
Existing label-specific features learning techniques mainly use embedding-based researching methods. However, there exist many problems such as inadequate consideration of label semantics, the sparseness of selected features and so on. Herein, the LS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5aeb771837e13a31d32013ee7b30c565
https://doi.org/10.1007/s13042-021-01432-3
https://doi.org/10.1007/s13042-021-01432-3
Publikováno v:
ISIJ International. 61:1669-1678
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7e3b2bf7669b9bc710fd5972822ce3d
https://doi.org/10.2355/isijinternational.isijint-2020-623
https://doi.org/10.2355/isijinternational.isijint-2020-623
Publikováno v:
2009 First International Workshop on Education Technology and Computer Science.
The specific mode of practice learning methods and content are given in the hierarchical teaching methods. Combined radix sort algorithm and an example of data structure, it also discusses its application in data classification based on rough sets th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dee663adf5f17f16bafead8876b0b765
https://doi.org/10.1109/etcs.2009.68
https://doi.org/10.1109/etcs.2009.68