Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Huamei QI"'
Publikováno v:
Shipin gongye ke-ji, Vol 44, Iss 22, Pp 134-142 (2023)
The study aimed to explore the optimal conditions for the extraction of polysaccharide from Elaeagnus angustifolia flower and its effect on probiotic proliferation in vitro. Polysaccharide was extracted from Elaeagnus angustifolia flower using hot wa
Externí odkaz:
https://doaj.org/article/7e7fccb6e066424191ef7a7acf17ddbd
Autor:
Huamei Qi, Zheng Zhou
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12870 (2022)
Task offloading has attracted widespread attention in accelerating applications and reducing energy consumption. However, in areas with surging traffic (nucleic acid testing, concerts, etc.), the limited resources of fixed-base stations cannot meet u
Externí odkaz:
https://doaj.org/article/8fe4fdf81f124d83a98f36ccb1c57eda
Publikováno v:
Algorithms, Vol 11, Iss 8, p 116 (2018)
In an Ad hoc sensor network, nodes have characteristics of limited battery energy, self-organization and low mobility. Due to the mobility and heterogeneity of the energy consumption in the hierarchical network, the cluster head and topology are chan
Externí odkaz:
https://doaj.org/article/0aba5114f57b49918d8a441af6e7352a
Publikováno v:
IEEE Internet of Things Journal. 9:14048-14059
Publikováno v:
Biocybernetics and Biomedical Engineering. 42:543-555
Publikováno v:
Peer-to-Peer Networking and Applications. 15:811-826
Publikováno v:
Computer Science and Education ISBN: 9789819924455
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caf442c31d60956f037e37d706210a25
https://doi.org/10.1007/978-981-99-2446-2_50
https://doi.org/10.1007/978-981-99-2446-2_50
Publikováno v:
ICCSE
Feynman’s learning skills combine the advantages of active learning and deep learning, and effectively solve the core problems of weak active learning awareness and insufficient classroom interaction among online teaching students in the traditiona
Publikováno v:
Journal of Systems Architecture. 97:34-39
We investigate a quality of experience (QoE) based computation offloading scheduling problem for Edge Computing, in which data processing and decision making are placed at the edge of the Internet and close to smart mobile devices and end users. Cons
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030794774
NPC
NPC
Mobile edge computing (MEC) has been widely used in many scenarios due to its advantages such as low latency, high bandwidth, and strong real-time performance. For mobile edge computing in networks with multiple mobile users and multiple MEC servers,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6426f2a493f76a47fcecce1dba4db07f
https://doi.org/10.1007/978-3-030-79478-1_27
https://doi.org/10.1007/978-3-030-79478-1_27