Zobrazeno 1 - 10 of 50 pro vyhledávání: '"Shaoping Shi"'
1
Akademický článek
Generation of squeezed vacuum state in the millihertz frequency band
Autor: Li Gao, Li-ang Zheng, Bo Lu, Shaoping Shi, Long Tian, Yaohui Zheng
Publikováno v: Light: Science & Applications, Vol 13, Iss 1, Pp 1-8 (2024)
Abstract The detection of gravitational waves has ushered in a new era of observing the universe. Quantum resource advantages offer significant enhancements to the sensitivity of gravitational wave observatories. While squeezed states for ground-base
Externí odkaz: https://doaj.org/article/2cd5cfa5a5584ab9bef488affa107855
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2
Akademický článek
Three-Dimensional LiDAR Wake Measurements in an Offshore Wind Farm and Comparison with Gaussian and AL Wake Models
Autor: Xin Liu, Lailong Li, Shaoping Shi, Xinming Chen, Songhua Wu, Wenxin Lao
Publikováno v: Energies, Vol 14, Iss 24, p 8313 (2021)
Huaneng Rudong 300 MW offshore wind farm project is located in eastern China. The wake effect is one of the major concerns for wind farm operators, as all 70 units are plotted in ranks, and the sea surface roughness is low. This paper investigated th
Externí odkaz: https://doaj.org/article/e33c4ce64cdb4da2b5719ea71e65ebd6
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3
The Square-root Elastic Net With a New Calculating Method
Autor: Chen Ai, Shaoping Shi
Publikováno v: Highlights in Science, Engineering and Technology. 49:470-478
The elastic net is a well-known algorithm and powerful in simultaneous estimation and variable selection under diverse conditions. In this paper, we proposed a novel version called square-root elastic net, which expands the application of the elastic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83a53d1b1970ce893913ea7936bb75b9
https://doi.org/10.54097/hset.v49i.8597
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7
DeepGpgs: a novel deep learning framework for predicting arginine methylation sites combined with Gaussian prior and gated self-attention mechanism
Autor: Haiwei Zhou, Wenxi Tan, Shaoping Shi
Publikováno v: Briefings in Bioinformatics. 24
Protein arginine methylation is an important posttranslational modification (PTM) associated with protein functional diversity and pathological conditions including cancer. Identification of methylation binding sites facilitates a better understandin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e0898e0ad7dcf2902a7a5820b228e442
https://doi.org/10.1093/bib/bbad018
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8
Overcoming the inadaptability of sparse group lasso for data with various group structures by stacking
Autor: Huan He, Xinyun Guo, Jialin Yu, Chen Ai, Shaoping Shi
Publikováno v: Bioinformatics. 38:1542-1549
Motivation Efficiently identifying genes based on gene expression level have been studied to help to classify different cancer types and improve the prediction performance. Logistic regression model based on regularization technique is often one of t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cfa0c5d96005774263e839d1f662dac
https://doi.org/10.1093/bioinformatics/btab848
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