Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Shirong Deng"'
Publikováno v:
IET Image Processing, Vol 17, Iss 14, Pp 4044-4060 (2023)
Abstract Image restoration with impulse noise is an important task in image processing. Taking into account the statistical distribution of impulse noise, the ℓ1‐norm data fidelity and total variation (ℓ1TV) model has been widely used in this a
Externí odkaz:
https://doaj.org/article/9497233243af4954a82ec591a8a3904c
Autor:
Shirong DENG, Shiguo XIAO
Publikováno v:
Zhongguo dizhi zaihai yu fangzhi xuebao, Vol 33, Iss 4, Pp 84-91 (2022)
In order to solve lacking of horizontal bearing capacity of local strata resistance before built-in section of the stabilizing pile, stabilizing piles with locally broadened top at the built-in section is proposed as a new type pile. According to ana
Externí odkaz:
https://doaj.org/article/6d03098dc560447aa858e1b447c3c69b
Autor:
SHIRONG DENG, YUCHAO TANG
Publikováno v:
Journal of Applied & Numerical Optimization; 2024, Vol. 6 Issue 3, p391-409, 19p
Publikováno v:
Electronics. 12:2432
Impulse noise removal is an important problem in the field of image processing. Although many methods exist to remove impulse noise, there is still room for improvement. This paper proposes a new method for removing impulse noise that combines the nu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81cac5c04ce1a9287575626be94a98c5
https://doi.org/10.3390/electronics12112432
https://doi.org/10.3390/electronics12112432
Publikováno v:
Computational Statistics. 36:1499-1532
As the high throughput technologies rapidly develop, multiple types of genomic data become available within and across different studies. It has become a challenging task in modern statistical research to use all types of genomic data to infer some d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7eaab181bdd8b5e4cf75e3fd05e4721
https://doi.org/10.1007/s00180-020-01060-5
https://doi.org/10.1007/s00180-020-01060-5
Joint modeling of eQTLs and parent-of-origin effects using an orthogonal framework with RNA-seq data
Publikováno v:
Human Genetics. 139:1107-1117
Extensive studies have been conducted on the analysis of genome function, especially on the expression quantitative trait loci (eQTL). These studies offered promising results for characterization of the functional sequencing variation and understandi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8183170888e2bfc931c21dc55541da9b
https://doi.org/10.1007/s00439-020-02162-2
https://doi.org/10.1007/s00439-020-02162-2
Autor:
Shirong Deng, Xingqiu Zhao
Publikováno v:
Journal of the American Statistical Association. 114:1241-1250
In many longitudinal studies, repeated response and predictors are not directly observed, but can be treated as distorted by unknown functions of a common confounding covariate. Moreover, longitudi...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69842644a92dfb87f7d1833182e8a9c8
https://doi.org/10.1080/01621459.2018.1482757
https://doi.org/10.1080/01621459.2018.1482757
Publikováno v:
Computational Statistics & Data Analysis. 107:120-130
Multivariate longitudinal data arises when subjects under study may experience several possible related response outcomes. This article proposed a new class of flexible semiparametric models for multivariate longitudinal data with informative observa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0914637675bf6b4e4e13efa10d67e7a
https://doi.org/10.1016/j.csda.2016.10.006
https://doi.org/10.1016/j.csda.2016.10.006
Autor:
Shirong Deng, Jie Chen
Publikováno v:
Journal of computational biology : a journal of computational molecular cell biology. 25(10)
In this article, we investigate the problem of detecting boundaries of DNA copy number variation (CNV) regions using the DNA-sequencing data from multiple subject samples. Genomic features along the linear realization of the actual genome are correla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76d96f958f5460a1e560aad579c8137b
https://pubmed.ncbi.nlm.nih.gov/30052071
https://pubmed.ncbi.nlm.nih.gov/30052071
Publikováno v:
Biometrical Journal. 57:743-765
This article discusses the statistical analysis of panel count data when the underlying recurrent event process and observation process may be correlated. For the recurrent event process, we propose a new class of semiparametric mean models that allo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecc835ada20217573aa84c2323166826
https://doi.org/10.1002/bimj.201400217
https://doi.org/10.1002/bimj.201400217