Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Yingying Yi"'
Publikováno v:
Nursing Open, Vol 11, Iss 1, Pp n/a-n/a (2024)
Abstract Aim To systematically review and synthesize the findings of qualitative research on the unmet rehabilitation needs of colorectal cancer survivors (CRC) after surgery. Design A qualitative meta‐synthesis registered with PROSPERO (CRD4202236
Externí odkaz:
https://doaj.org/article/3019a140546142d29cfa80fd5dd2addf
Publikováno v:
Scientific Programming. 2022:1-11
The educational data mining (EDM) methods are increasingly diversified. In this research, a hybrid method of multikernel learning (MKL), least-squares support vector machine (LSSVM), and genetic algorithm (GA) is employed to evaluate teaching quality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b383ff7755642479ae58956f45d4f37
https://doi.org/10.1155/2022/4588643
https://doi.org/10.1155/2022/4588643
Publikováno v:
Applied Economics. 54:3521-3536
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b64e047326f28f5693f1d90d1215fbe7
https://doi.org/10.1080/00036846.2021.2010644
https://doi.org/10.1080/00036846.2021.2010644
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031317323
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1ea56427e865fcb554856079c73990e
https://doi.org/10.1007/978-3-031-31733-0_40
https://doi.org/10.1007/978-3-031-31733-0_40
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031317323
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45df480f64cc7deadedadf1a864557dc
https://doi.org/10.1007/978-3-031-31733-0_44
https://doi.org/10.1007/978-3-031-31733-0_44
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031317323
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::937963e6e4246cdfe5e0e41dc2033c29
https://doi.org/10.1007/978-3-031-31733-0_39
https://doi.org/10.1007/978-3-031-31733-0_39
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031317323
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe204c49e7f1079ac1c09d317dacb02a
https://doi.org/10.1007/978-3-031-31733-0_41
https://doi.org/10.1007/978-3-031-31733-0_41
Publikováno v:
ICCSE
In MOOC community, it is a challenge to analyze online learners’ video watching behaviors based on the MOOC videos’ log data. In this paper, we propose a research model on video watching behaviors of MOOC learners, by encoding the behavior sequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2d026b0d23c5e4f34c3972bdcb05867
https://doi.org/10.1109/iccse51940.2021.9569688
https://doi.org/10.1109/iccse51940.2021.9569688
Publikováno v:
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2).
In order to locate the partial discharge (PD) accurately in power cables, an improved wavelet Laplace function method is proposed. Based on the signal sparse representation theory, the parameters of the base function in this method are determined by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f589deb8f83e9a39a0caaa931f7c1f9e
https://doi.org/10.1109/ei247390.2019.9061752
https://doi.org/10.1109/ei247390.2019.9061752
Publikováno v:
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2).
In order to extract the partial discharge pluses accurately in power cables, an improved wavelet Laplace function method is proposed. The method is based on the characteristics of partial discharge pulse propagation in power cables. Firstly, the Lapl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::634559c1d3c7a915476b9b5aa26b3701
https://doi.org/10.1109/ei247390.2019.9062172
https://doi.org/10.1109/ei247390.2019.9062172