Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Zonghong Zhang"'
Cognitive influencing factors of ICU nurses on enteral nutrition interruption: a mixed methods study
Publikováno v:
BMC Nursing, Vol 23, Iss 1, Pp 1-12 (2024)
Abstract Background The incidence of clinically avoidable enteral nutrition interruptions is high. ICU nurses, as the implementers and monitors of enteral nutrition, have a close relationship between their cognitive level of enteral nutrition interru
Externí odkaz:
https://doaj.org/article/8a2a9d2be2604b9dbb7618869d5f7af5
Publikováno v:
Sensors, Vol 21, Iss 11, p 3620 (2021)
The remarkable success of convolutional neural networks (CNNs) in computer vision tasks is shown in large-scale datasets and high-performance computing platforms. However, it is infeasible to deploy large CNNs on resource constrained platforms, such
Externí odkaz:
https://doaj.org/article/7466fed7818e49cdaaadbb5bd9884788
Publikováno v:
2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA).
In recent years, Chinese high-speed railway ushered in a great development. With the high-speed railway operation gradually gets busy, the traditional method of relying on manual inspection of train fault has been unable to keep pace with the pace. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f343cec82b493cbb52d0460929d82f8
https://doi.org/10.1109/iciea51954.2021.9516167
https://doi.org/10.1109/iciea51954.2021.9516167
Publikováno v:
Sensors, Vol 21, Iss 3620, p 3620 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 11
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 11
The remarkable success of convolutional neural networks (CNNs) in computer vision tasks is shown in large-scale datasets and high-performance computing platforms. However, it is infeasible to deploy large CNNs on resource constrained platforms, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::964a5a2615f4b8af2ba4ce5094b5c36a
https://www.mdpi.com/1424-8220/21/11/3620
https://www.mdpi.com/1424-8220/21/11/3620
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783540333371
DASFAA
DASFAA
Frequent pattern mining is an important data mining problem with wide applications. The huge number of discovered frequent patterns pose great challenge for users to explore and understand them. It is desirable to accurately summarizing the set of fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::414b4ca7a37e051b5f53ccd4f875ce05
https://doi.org/10.1007/11733836_14
https://doi.org/10.1007/11733836_14
Publikováno v:
BIBE
Scopus-Elsevier
Scopus-Elsevier
A bicluster of a gene expression dataset captures the coherence of a subset of genes and a subset of conditions. Biclustering algorithms are used to discover biclusters whose subset of genes are co-regulated under subset of conditions. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::865a71f1a5428f3bddb59e44ea27aa2e
https://doi.org/10.1109/bibe.2004.1317355
https://doi.org/10.1109/bibe.2004.1317355
Publikováno v:
Database Systems for Advanced Applications (9783540333371); 2006, p171-186, 16p
Publikováno v:
Proceedings Fourth IEEE Symposium on Bioinformatics & Bioengineering; 2004, p283-290, 8p