Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Qingbo Yin"'
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 14578-14594 (2022)
A wind power curtailment consumption strategy using electric vehicles (EVs) based on individual differential evolution quantum particle swarm optimization algorithm (IDE-QPSO) is proposed, with the objective of reducing the system’s wind curtailmen
Externí odkaz:
https://doaj.org/article/ddd4e0937e6c4b3895e84b808b1b3a78
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract The adaptive block size processing method in different image areas makes block-matching and 3D-filtering (BM3D) have a very good image denoising effect. Based on these observation, in this paper, we improve BM3D in three aspects: adaptive no
Externí odkaz:
https://doaj.org/article/8636596577c24a98b78af2d44c07d6de
Publikováno v:
IEEE Signal Processing Letters. 29:917-921
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31cf48499174aa066b351f00553dfe29
https://doi.org/10.1109/lsp.2022.3160652
https://doi.org/10.1109/lsp.2022.3160652
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811684296
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8220493a3078745f64acc6c34cc693fe
https://doi.org/10.1007/978-981-16-8430-2_2
https://doi.org/10.1007/978-981-16-8430-2_2
Publikováno v:
Pattern Recognition. 130:108828
Huge amount of applications in various fields, such as gene expression analysis or computer vision, undergo data sets with high-dimensional low-sample-size (HDLSS), which has putted forward great challenges for standard statistical and modern machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2f2e2d3cda658b66c0945ae7901cdcb
https://doi.org/10.1016/j.patcog.2022.108828
https://doi.org/10.1016/j.patcog.2022.108828
Publikováno v:
Engineering Applications of Artificial Intelligence. 111:104828
The Classification on high-dimension low-sample-size data (HDLSS) is a challenging problem and it is common to have class-imbalanced data in most application fields. We term this as Imbalanced HDLSS (IHDLSS). Recent theoretical results reveal that th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e98202a77340930cc82e8d2a19ae9f9e
https://doi.org/10.1016/j.engappai.2022.104828
https://doi.org/10.1016/j.engappai.2022.104828
Publikováno v:
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery ISBN: 9783030325909
ICNC-FSKD
ICNC-FSKD
The region-scalable fitting energy (RSF) model is one of the classical active contour models, it performs well while dealing with the images with intensity inhomogeneity. However, complex vessels with more branches and different sizes make it disable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5876c4afd0858575db2e75fc940fc30f
https://doi.org/10.1007/978-3-030-32591-6_51
https://doi.org/10.1007/978-3-030-32591-6_51
Autor:
Qingbo Yin, Liran Shen
Publikováno v:
Knowledge-Based Systems. 193:105420
Various applications in different fields, such as gene expression analysis or computer vision, suffer from data sets with high-dimensional low-sample-size (HDLSS), which has posed significant challenges for standard statistical and modern machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11e7fc219baf74465874294cc4d86b72
https://doi.org/10.1016/j.knosys.2019.105420
https://doi.org/10.1016/j.knosys.2019.105420
Publikováno v:
Pattern Recognition. 97:107030
Various applications in different fields, such as gene expression analysis or computer vision, suffer from data sets with high-dimensional low-sample-size (HDLSS), which has posed significant challenges for standard statistical and modern machine lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fb52f90bcc5e15ea4971fc7648694f0
https://doi.org/10.1016/j.patcog.2019.107030
https://doi.org/10.1016/j.patcog.2019.107030
Publikováno v:
FedCSIS
Fundus images are one of the main methods for diagnosing eye diseases in modern medicine. The vascular segmentation of fundus images is an essential step in quantitative disease analysis. Based on the previous studies, we found that the category imba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf2463a3db2a058ceb44f0a7dba5982e
https://doi.org/10.15439/2018f127
https://doi.org/10.15439/2018f127