Zobrazeno 1 - 10
of 22
pro vyhledávání: '"ZHENGREN LI"'
Publikováno v:
IEEE Access, Vol 11, Pp 72665-72678 (2023)
Methane is one of the most dangerous gases produced in the process of coal mining. Because of its flammable and explosive characteristics, it has seriously threatened the life and property safety of coal miners. As a result, accurate and real-time ga
Externí odkaz:
https://doaj.org/article/83b216ad541e4c979df2ff907b82e751
Publikováno v:
IEEE Access, Vol 9, Pp 7885-7893 (2021)
Because machine learning has been widely used in various domains, interpreting internal mechanisms and predictive results of models is crucial for further applications of complex machine learning models. However, the interpretability of complex machi
Externí odkaz:
https://doaj.org/article/45b189c84c2c4454b80888862b72f588
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2019, Iss 1, Pp 1-9 (2019)
Abstract With the fast development of the mobile internet in recent years, the new generation mobile communication networks as the basic supporting have received widespread attentions. During the upgrading period of new generation networks, the telec
Externí odkaz:
https://doaj.org/article/1c7031e0f0c54fc7bd4724bd08451b4e
Publikováno v:
Mobile Networks and Applications. 27:928-935
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::202e1c759abcbaf74a98545d7b6e1e74
https://doi.org/10.1007/s11036-022-01913-x
https://doi.org/10.1007/s11036-022-01913-x
Publikováno v:
Journal of Translation Studies. 2:103-125
The International Annual Meeting on Language Arrangements, Documentation and Publications (IAMLADP), a mechanism that brings together international organizations (IOs), is led by the United Nations and addresses such functions as the organization and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1e108d6fff235215baf35af05eb27ee
https://doi.org/10.3726/jts012022.6
https://doi.org/10.3726/jts012022.6
Publikováno v:
Neural Processing Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3381077585cd25a4fde6ddec940e940f
https://doi.org/10.1007/s11063-022-11065-4
https://doi.org/10.1007/s11063-022-11065-4
Publikováno v:
Information Sciences. 561:1-19
Machine learning models have been widely used to obtain prediction in various domains; however, most of such models are black boxes owing to the high complexity. The lack of transparency of machine learning models hampers their applications because t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06bfa9935b8a3803cf3e2f60d8cfda0a
https://doi.org/10.1016/j.ins.2021.01.079
https://doi.org/10.1016/j.ins.2021.01.079
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-18 (2021)
For the global telecom operators, mobile data services have gradually taken the part of traditional voice services to become the main revenue growth point. However, during the upgrading period of new generation networks (Such as 5G), new mobile data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fa9077832d3e673bf0725d0d1492512
https://doaj.org/article/d6034830e6c14ce99dfe1959ec0e2bca
https://doaj.org/article/d6034830e6c14ce99dfe1959ec0e2bca
Publikováno v:
Applied Intelligence. 51:7151-7165
Machine learning models have been widely used in various domains. However, the internal mechanisms of popular models, such as neural networks and support vector machines, are difficult for humans to understand; such models are often called “black b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aacffd96a11853fea724b09cbbb6cfcb
https://doi.org/10.1007/s10489-021-02255-z
https://doi.org/10.1007/s10489-021-02255-z
Publikováno v:
IEEE Access, Vol 9, Pp 7885-7893 (2021)
Because machine learning has been widely used in various domains, interpreting internal mechanisms and predictive results of models is crucial for further applications of complex machine learning models. However, the interpretability of complex machi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e207b68407c56d32f8205492b1e91db9
https://doi.org/10.1109/access.2021.3049412
https://doi.org/10.1109/access.2021.3049412